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B.Sc Computer Science with specialisation in Artificial Intelligence and Machine Learning – Shift 1 (Phase 2)

Department of Computer Science and Engineering

About the Department

The Department of Computer Science and Engineering was established in the year 2008. It offers UG, PG and Doctoral Programmes that are accredited by UGC, AICTE and NAAC. The B.E. Degree in CSE was   accredited by the NBA for three years from the academic year 2019-20. The curriculum is framed with the state of the art design comprising core, professional, ability enhancement and skill enhancement electives. In addition to the curriculum, various add-on courses are being offered and thereby a platform for gaining in-depth knowledge is provided. It is well equipped with excellent computing facilities, latest software and state-of-the-art IT infrastructure. The department has set up an IBM software lab for Cloud Computing to enhance research activities and to explore the current technology needs. The faculty members have a good blend of industrial as well as teaching experience. To its added credentials,  students were given International exposure through internships in leading foreign universities The department equips the students with the skills required to mould them into successful Entrepreneurs in Software Development. 

The department has ambient research groups well equipped with prior knowledge to leading innovative work group in frontier areas of research.

Vision and Mission

Vision

To develop a knowledge hub for Computer Science Engineers and Technocrats in application of their competence for the betterment of the Individual, Industry and Society.

Mission

  • To nurture the students to be industry- ready by providing a strong conceptual foundation and by enhancing their employability and entrepreneurial skills. 
  • To provide holistic growth by conducting relevant enrichment programs, which includes curricular, co-curricular, extracurricular and extension activities. 
  • To inculcate innovation and creativity through practically viable Internships and Project works. 
  • To create research oriented mindset and focus in fulfilling growing demands of the society through mentoring and lifelong learning.

List of Programmes

  • Ph.D
  • M.E CSE 
  • B.E CSE 
  • B.Tech IT

Faculty-Student Ratio: 1: 15

Programme Outcomes

PROGRAM OUTCOME (PO)

PO1: Independently carry out research /investigation and development work to solve
practical problems.

PO2: Write and present a substantial technical report/document.

PO3: Demonstrate a degree of mastery over the Computer Science and Engineering curriculum at a level higher than the requirements in the appropriate bachelor programme.

PO4: Apply mathematical foundations, algorithms and computer science principles in modelling and designing computer systems.

PO5: Apply computer science tools and techniques to solve different classes of engineering problems following ethical practices.

PO6: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Programme Educational Objectives (PEOs)

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

PEO1: To adopt systematic approach to design, develop, implement and innovate integrated systems that include people, technology, information and resources.

PEO2: To apply principles and practices in information technology to solve multiple real world problems.

PEO3: To become Entrepreneurs or Employees of reputed Organizations or pursue Higher Education for better adaptability.

PEO4: To accomplish any tasks with ethical values and commitment to meet the Social needs.

Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

PROGRAM OUTCOME (PO)

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7: Environment and sustainability: Understand the impact of the  professional  engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8:   Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communication: Communicate effectively on complex engineering  activities  with  the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clearinstructions.

PO11: Project management and finance: Demonstrate knowledge and understanding of the  engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAMME SPECIFIC OUTCOMES (PSOs)

PSO1: An expert with an aptitude and competence to analyze, design, model, develop, test and manage information systems to offer customized solutions.

PSO2: A professional with learning abilities to face upcoming challenges in the field of Information Technology.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 134

CategoryCourseHours/WeekCreditsMaximum Marks
Lecture TutorialPractical CASEETotal
Program CoreMathematics and Statistics for Computer Science31044060100
Program CoreAdvanced Data Structures and Algorithms31044060100
Program ElectiveProgram Elective – I31044060100
Program ElectiveProgram Elective - II31044060100
Program CoreAdvanced Data Structures and Algorithms Lab00424060100
Program CoreAdvanced Database
Management System Laboratory
00424060100
Mandatory coursesResearch Methodology and IPR20024060100
Audit CourseAudit Course – 100004060100
Total144822

 

View full course curriculum

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 170

B.TECH. CSE
(Regulation 2022-23)
CategoryCourse TitleLectureTutorialPracticalCreditsCASEETotal
SEMESTER 1
BSCEngineering Chemistry3--34060100
BSCMathematics I(Calculus and
Linear Algebra)
31-44060100
ESCProgramming for Problem Solving3--34060100
ESCBasics of Civil and Mechanical Engineering3--34060100
ESCWorkshop and Manufacturing
Practices
1-434060100
BSCChemistry Laboratory--214060100
ESCProgramming for Problem Solving Laboratory--214060100
MCStudent Induction Program-------
MCUniversal Human Values2---100
151818

 

View full course curriculum

Eligibility Criteria

ProgramCriteria for MeritProgram Duration (Year)
Eligibility
Criteria for Merit
M.Tech Computer Science and Engineering2 Years
(4 Semesters)
"Passed Bachelor’s Degree or equivalent in the relevant field.
Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination."
Merit based on GATE/ TANCET/ Vels Entrance Examination and percentage of mark secured in the qualifying examination

Eligibility Criteria

ProgramProgram Duration (Year)
Eligibility
Criteria for Merit
B.Tech Computer Science and Engineering"4 Years
(8 Semesters)"
"First Year:
Passed 10+2 examination with Physics/ Mathematics/ Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship as per table 8.4 Agriculture stream (for Agriculture Engineering) Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
OR
Passed D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme)

Lateral Entry (to Second Year)
Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in ANY branch of Engineering and Technology.
OR
Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
OR
Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)"
"
Merit based on Vels Entrance Examination and percentage of mark secured in the qualifying examination

Career Prospects

CAREER PROSPECTS

 

  • Software developer
  • Computer network architect
  • System administrator
  • Database administrator
  • Computer and information systems manager
  • Computer and information systems analyst
  • Information security analyst
  • Application Development
  • Business Systems Analyst
  • CGI Special Effects Technician
  • Client-Server Systems Manager
  • Computing Hardware Systems Director
  • Data Analyst
  • Data Processing Departmental
  • Manager
  • Database Administrator
  • Database Manager
  • Desktop Support Engineer
  • Director of IT
  • Disaster Recovery Planners
  • Embedded software
  • Enterprise Architect
  • Game Developer
  • Hardware Designer
  • Healthcare Software
  • Hosting Service Management
  • Lead Mobile Phone Application
  • Researcher

Career Prospects

CAREER PROSPECTS

  • Machine Learning Engineer
  • R&D Engineer
  • System Analyst
  • System Engineer
  • Programming architect
  • Full Stack Developer / Front end Developer /  Back end Developer
  • Software developer
  • Computer network architect
  • System administrator
  • Database administrator
  • Data Analyst
  • Game Developer

Alumni Testimonials

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
30,00019,00049,000

Major Research Areas

Major Research Areas

  • Artificial Intelligence & Machine Learning
  • Data Science and Analytics
  • Computer Networks and Systems
  • Distributed Systems and Cloud Computing
  • Database and Information Systems
  • Security and Cryptography
  • Internet of Things
  • Deep Learning
  • Image Processing
  • Big Data Analytics
  • Distributed Computing
  • Quantum Computing
  • Natural Language Processing
  • Virtualization
  • Theoretical Computer Science
  • Game Theory
  • Generative Artificial Intelligence
  • Cognitive Neuroscience

Sponsored Research/Consultancy

S.NoName of the FacultyProject TitleResearch / ConsultancyFunding AgencyGrant ReceivedDuration and Status
1Dr.M.Chandrasekaran, Dr.S.ArunSTI Hub for Technology enabled Production and Marketing of Value-added Agricultural products to enhance the livelihood of SC Community in Thellar BlockResearch ProjectDST-SEED266136183
2Dr. R. AnandanWearable technology interfaced Smart Stress Detector ModuleResearch ProjectEDII2000001
3Dr. R. AnandanReconnaissance of geospatial mapping to navigate Person in multipath indoor environment using Augmented reality in AirportResearch ProjectMSME17000001
4Dr.R.Anandan, Dr. K. KalaivaniIOT based Intelligent Networking System for tracked vehiclesResearch ProjectAICTERPS10256663

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
58,00041,00099,000

Professional Activities

List of Events Organized by the Department From 2020 – Present

View more

Faculty of the Department

S.NoNAME OF THE FACULTYDESIGNATIONEDUCATIONAL QUALIFICATIONAREA OF SPECIALIZATIONEXPERIENCE IN YEARSVidwan IDPHOTO
1Dr.S.ArunProfessor & Director (IQAC)M.E, Ph.DAdvanced Driver Assistance System, Artificial Intelligence20 Years258568
2Dr.K.KalaivaniAssociate Professor & HeadM.E.,Ph.DImage Processing18 Years, 9 Months233987
3Dr. R.AnandanProfessorM.E, Ph.DArtificial Intelligence24 Years84899
4Dr. N. KumarProfessorM.Tech., Ph.DComputer Networks17 Years, 9 Months232473
5Dr.A.RajeshProfessorM.Tech., Ph.DNetwork Security19 Years232499
6Dr.A.PackialathaAssociate ProfessorM.E, Ph.DCloud Computing, Pattern Recognition22 Years, 3 Months253610
7Dr.S.MeeraAssociate professorM.E, Ph.DBig Data,Data Mining27 Years, 2 Months315114
8Dr.K.UlagaPriyaAssociate ProfessorM.E, Ph.DData Analytics,machine Learning,Software Engineering24 Year, 3 Months232452
9Dr.S.SrideviAssociate ProfessorM.E., Ph.DArtificial Intelligence, Machine Learning, Deep Learning16 Years, 7 Months234016
10Dr.A.ManikandanAssociate ProfessorM.E,Ph.DBig Data Analytics12 Years234022
11Dr.R. BalakrishnaAssociate ProfessorM.E, Ph.DMedical Image Processing, Artificial Intelligence10 Years, 7 Months232527
12Dr. R.PariAssociate ProfessorM.Tech., Ph.DArtificial Intelligence, Machine Learning, Deep Learning30 Years543978
13Dr.P.SheelaGowrAssistant ProfessorM.E, Ph.DMachine Learning,
Image Processing,
Cloud Computing
13 Years, 10 Months234045
14Dr.Banushri.AAssistant ProfessorM.Tech.,Ph.D.,Cloud Computing18 Years237876
15Dr.G.RevathyAssistant ProfessorM.E., Ph.D.,Image Processing, Machine Learning, Deep Learning7 Years, 8 Months475353
16Dr. S.ThirumalAssistant ProfessorM.E (SE), Ph.D.,Big Data Analytics13 Years232474
17Dr.P.ThilakavathyAssistant ProfessorME., Ph.D.,Image Processing, Networks12 Years470493
18Dr. A.SarithaAssistant ProfessorM.E.,Ph.DComputer Networks,MANET13 Years, 1 Month233992
19Dr.E.PadmaAssistant ProfessorM.E., Ph.D.Network Security20 Years567880
20Ms.P.MohanaPriyaAssistant ProfessorM.E., (Ph.D.)Machine Learning, Deep Learning4 Years, 2 Months562132
21Ms.ParvathavarthiniAssistant ProfessorME.,(Ph.D.)
Computer Networks, Image Processing, Deep Learning10 Years232483
22Mrs.R.DeepaAssistant ProfessorM.E., (Ph.D.)Artificial Intelligence, Computer Networks,Deep Learning13 Years253738
23Mrs.S.VijithaAssistant ProfessorM.E., (Ph.D.)Block chain technology, Computer Networks, Cloud Computing,Big data security7 Years, 2 Months253591
24Mrs.S.SethuAssistant ProfessorM.E., (Ph.D.)Computer Networks,Network orkSecurity,Deep Learning6 Years469629
25Mr.N.UdayakumarAssistant ProfessorM.E., (Ph.D.)Computer Networks, Network Security, Malware Analysis10 Years, 7 Months315834
26Ms.M.BhanumathiAssistant ProfessorM.E., (Ph.D.)Machine Learning, Deep Learning18 Years467915
27Mrs.P.V.HemavathiAssistant ProfessorM.E., (Ph.D.)Deep Learning,Image processing8 Years 7 months468408
28Ms.Sowmiya.S.MAssistant ProfessorM.E., (Ph.D.)Cloud Computing, Artificial Intelligence8 Years, 6 Months464234
29Ms.Kavitha.S.JAssistant ProfessorM.E., (Ph.D.)Internet of Things, Cloud Computing4 Years, 2 Months469822
30Ms.DivyaBairavi. SAssistant ProfessorM.E.,Artificial Intelligence, Machine Learning1 Year, 1 Month468931
31Ms.S.SaranyaAssistant ProfessorM.E.,Computer Networks1 Year, 1 Month467688
32Ms.Kalpana.RAssistant ProfessorM.E., (Ph.D.)Cryptography and network security,Blockchain17 Years 2 months467969
33Ms.Kavitha.NAssistant ProfessorM.E., (Ph.D.)Image Processing, Machine Learning2 Years, 3 Months279169
34Ms.V.BharathiAssistant ProfessorM.E.,Image processing and AI &Machine Learning11 Years, 2 Months468960
35Ms.S.Gayathri DeviAssistant ProfessorM.Tech., (Ph.D.)Artificial Intelligence and Data science,Image processing16 Years, 2 Months561910
36Mr.S.VaradharajanAssistant ProfessorM.Tech., (Ph.D.)Full Stack Development, Machine Learning, Data Science13 Years, 5 Months561837
37Mrs. S. Sathea SreeAssistant ProfessorM.E, (Ph.D)Machine Learning , Networking and Artificial Intelligence11 Years, 8 Months561829
38Mrs.B.YaminiAssistant ProfessorM.TECHImage processing, Network security1 Years, 10 Months562393
39Mr.D. ManikandanAssistant ProfessorM.E., (Ph.D.)Block Chain, Machine Learning, Artificial Intelligence, Social Network Analysis3 Years, & 10 Months357428
40Mrs.F. Benasir BegamAssistant ProfessorM.E.,Artificial Intelligence, Machine Learning1 Month562410
41Mrs.A. AgalyaAssistant ProfessorM.E.,Artificial Intelligence, Machine Learning, Cloud Computing2 Years,1 month562331
42Mrs.P.M.G. JegathambalAssistant ProfessorM.E.,Image processing, Network security2 Years, 3 Months562147
43Ms. N. MeenakshiAssistant ProfessorM.Tech., (Ph.D.)Artificial Intelligence, Machine Learning3 Years, 6 Months562402

M.Sc Computer Science

Programme Educational Objectives (PEOs)

PROGRAMME EDUCATIONAL OUTCOMES (PEO)

PEO1: Graduates are prepared to be employed in IT industries by providing expected Domain Knowledge.

PEO2: Graduates are provided with practical training, hands-on and project experience to meet the industrial needs.

PEO3: Graduates are motivated in career and entrepreneurial skill development to become global leaders.

PEO4: Graduates are trained to demonstrate creativity, develop innovative ideas and. to work in teams to accomplish a common goal.

PEO5: Graduates are addressed with social issues and guided to operate problems with Solution.

Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

PROGRAM OUTCOMES (PO)

PO 1: Domain Expertise: Communicate computer science concepts, designs, and solutions effectively and professionally.

PO 2: Computing Skills and Ethics: Apply knowledge of computing to produce effective designs and solutions for specific problems.

PO 3: Lifelong Learning and Research: Identify, analyze, and synthesize scholarly literature relating to the field of computer science.

PO 4: Modern Tool Usage: Use software development tools, software systems, and modern computing platforms.

PO 5: Social Contribution: An understanding of professional, ethical, legal, security and social issues and responsibilities

PO 6: Ethics: Capable of evaluating personal and professional choices in terms of codes of ethics and ethical theories and understanding the impact of their decisions on themselves, their professions, and on society

PO 7: Life Long Learning: Apply design and development principles in the construction of software systems of varying complexity.

PROGRAMME SPECIFIC OUTCOMES (PSO)

PSO 1: Professionally trained in the areas of programming, multimedia, animation, web designing, networking and to acquire knowledge in various domain-based electives.

PSO 2: Abet students to communicate effectively and to improve their competency skills to solve real time problems.

PSO 3:  The ability to employ modern computer languages and applications for their successful career, to create platforms to become an entrepreneur and a relish for higher studies.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 90

CategoryCode NoCourseHours/WeekMaximum Marks
LectureTutorialPracticalCreditsCASEETotal
Core21CMCS11Linux Programming40044060100
Core21CMCS12Design and Analysis

of Algorithm
40044060100
Core21CMCS13Scripting Language30444060100
Core21PMCS11Linux Programming

Lab
00424060100
DSE21DMCS--DSE 140044060100
DSE21DMCS--DSE 240044060100
SECSoft Skill1/

Sector Skill Course
20024060100
TOTAL210824

 

View full course curriculum

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.Sc Computer Science2 Years (4 Semesters)Bachelor's degree in Computer Science/ Computer Science and Technology/ Artificial Intelligence and Machine Learning/ Cyber Security/ BCA degree/ Any othere degree accepted as equivalent thereto by the syndicateMerit based on the percentage of marks secured in the qualifying examination

Career Prospects

CAREER PROSPECTS

 

  • Robotics Programmer
  • Video Game Programmer
  • Data Scientist
  • Software Engineer
  • Machine Learning Researcher
  • Business Intelligence Developer
  • Statistical Analyst

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
21,00018,00039,000

Faculty of the Deapartment

Sl. No.
Name of the Faculty
Designation
Educational Qualification
Area of Specialization
Experience in Years
Vidwan IDPhotos
1Dr.Parameswari.RProfessor and HeadMCA., M.Phil., Ph.DCloud Computing & Big Data Analytics17 years 11 months237318
2Dr.Perumal.SProfessorM.Sc., M.Phil.,P.h.DImage Processing, Data Analytics, Cloud Computing, IOT28 yrs263415
3Dr.Thailambal.GAssociate ProfessorMCA., M.Phil., Ph.DData Mining, Text Mining, Pattern Matching & Machine Learning20 yrs232467
4Dr.Mangayarkarasi.SAssociate ProfessorMCA., M.Phil.,Ph.DNetwork Security, Image Processing, IOT & Networking19 yrs232465
5Dr.Arunachalam.A.SAssociate ProfessorMCA., M.Phil.,Ph.DData Mining, Image Processing and Networking, Data Science, Big Data20 yrs173795
6Dr.Sreekala.TAssociate ProfessorM.Sc., M.Phil., Ph.D,NETIntrusion Detection System, Network Security, Machine Learning, Blockchain Technology18 years 4 months173689
7Dr.Durga.RAssociate ProfessorMCA,,M.Phil, Ph.DNetwork Security, Wireless Sensor, Cloud Computing16 yrs173696
8Dr.Akila.AAssociate ProfessorMCA.,M.Phil., Ph.D.,Speech Recognition & Signal Processing13 year 7 months183051
9Dr.Aneetha.A.SAssociate ProfessorMCA, M.Phil, NET.,Ph.DIntrusion and Detection System14 years 4 months469003
10Dr.V.PoornimaAssociate ProfessorM.Sc(CS),MCA,
M.Phil,Ph.D
Machine Learning , ANN , IoT11 years8 months470632-
11Mr.Balamurugan.RAssistant ProfessorMCA., M.Phil.,(Ph.D)Data Mining22 years 5 months237146
12Ms.Padma.RAssistant ProfessorM.Sc, M.Phil, SET, (Ph.D)Big Data Analytics, Aritificial intelligence and Machine learning18 year236678
13Dr.Abirami.KAssistant ProfessorM.Sc,M.Phil,Ph.DWeb Mining8 years 6 months427668
14Dr.Thirunavukkarasu.K.SAssistant ProfessorM.Sc,M.Phil, Ph.DData Mining15 years 5 month291351
15Dr.Vishwa Priya.VAssistant ProfessorMCA, MBA,M.Phil,Ph.DBig Data Analytics, Aritificial intelligence and Machine learning,IOT6 years 4 months405597
16Dr.Jose Reena.KAssistant ProfessorMCA, M.Phil,Ph.DIoT, Big Data8 years 1 month425726-
17Dr.Nisha Dayana.T.RAssistant ProfessorM.Sc,M.Phil,Ph.DImage Mining11 years 2 months470653
18Ms.K.SreelathaAssistant ProfessorM.Sc CS &IT,M.Phil,(Ph.D)Networking1 yr470792-

B.com - LLB

Programme Educational Objectives (PEOs)

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

The Programme Educational Objectives (PEOs) describe the career and professional accomplishments that the programme is preparing its graduates to attain within a few years of graduation. Graduates of LL.B programme are expected to achieve the following Programme Educational Objectives within a few years of graduation:

PEO 1: Possess the knowledge, skills and competency in law required to pass the Bar examination.

PEO 2: Successful in the chosen field of profession / towards advanced or higher studies, by using the skills and knowledge gained during study.

PEO 3: Venture into new and challenging areas of practice where the existence of law on the subject is nil/limited and demonstrate the competency in providing solutions to complex problems by application of law.

PEO 4: Exercise proper professional, moral and ethical behaviour towards the Bar, the Bench, clients, legal system, and society.

PEO 5: Embrace cultural differences and civic and community engagement, besides providing for free legal aid whenever needed.

Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

PROGRAM OUTCOME (PO)

PO 1: Legal Knowledge: A coherent understanding of fundamental areas of legal knowledge including Indian Legal System, Social Justice, Cultural and International Context and Principles and values of ethical practices.

PO 2: Critical Analysis: A Capacity to think critically, strategically, and creatively. The ability to articulate legal issues applying reasoning and research. Effective Communication skills by use of English language analysis, report, and ability to respond appropriately.

PO 3: Legal Consultation and Aid:  The ability to write a competent legal analysis, extend legal aid and consultation to the clients and public in the society.

PO 4: Research Skills:  Practical Skills necessary to identify the research, evaluate, synthesis relevant legal (case – analysis) and policy issue. 

PO 5: Modern Tool Usage: Create, select, and apply modern IT tools such as Manupatra, Indian kanoon, Lexis-Nexis in legal research, drafting and referring the case studies.

PO 6: Law and Society: To acquire & apply legal knowledge to the complex Socio-legal problems and make students eligible to practice in Courts, Industries, Companies as legal practitioner.

PO 7: Legal Reasoning: To develop legal research skills & legal reasoning and apply it during programme & in Legal practice.

PO 8: Ethics and Professional Responsibility: A Capacity to value and promote honesty, integrity, accountability, and ethical standards including in understanding and making ethical decisions, and rules of professional responsibility.

PO 9: Individual and Teamwork: To develop leadership qualities amongst students and make awareness about Constitutional legislative & societal transformation in society.

PO 10: Communication: Effective Communication skills by use of English language analysis, report, and ability to respond appropriately.

PO 11: Self-Management: Ability to appropriate self-management, discipline and balanced thought and capacity to adapt to and embrace change.

PO 12: Life-Long Learning: To develop an attitude of self-reflection while learning & Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of changing legal contexts.

PROGRAMME SPECIFIC OUTCOMES (PSOs)

Programme Specific Outcomes (PSOs) describe what graduates are expected to learn and be able to perform in a specialized area of discipline, upon graduation from a programme. The PSOs of LL.B programme are as follows:

PSO 1: Graduates will be able to contribute effectively through practice and research to specialized areas of law such as Constitutional Law, Business Law, and Intellectual Property Law.

PSO 2: Graduates will be able to work in multiple sectors, besides law, nationally and globally due to multi-disciplinary perspective of curriculum.

PSO 3: Graduates will be able to critically analyze existing laws, able to draft legislations and policies, thereby contributing to the nation and the world at large.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 275

CATEGORYCOURSE TITLEHOURS PER WEEKCREDITS
LectureTutorialPractical
CoreEnglish Grammar and Literature4004
CorePolitical Theory4004
CoreFinancial Accounting4004
CoreManagerial Economics4004
CoreLaw of Torts including Consumer
Protection Act and Motor Vehicles Act
4004
CoreLaw of Contracts – I including
Specific Relief Act
4004
AECCLanguage Paper – I2002
TOTAL260026

 

View full course curriculum

 

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
B.Com., LL.B (Hons)5 Years (10 Semesters)Pass in (10+2), or its equivalent
Age: As BCI norms
Merit based on Vels Entrance Examination Score and Merit based on percentage of marks secured in the qualifying examination

Career Prospects

CAREER PROSPECTS

 

  • Civil Judge
  • Advocate
  • Legal Analyst
  • Company Secretary
  • Journalist
  • All sectors require law graduates

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
54,00037,00091,000

B.Tech. Information Technology

Program Educational Objectives(PEOs) & Program Specific Outcomes(PSOs)

Program Educational Objectives(PEOs)

PEO1 : To adopt a systematic approach to design, develop, implement and innovate integrated systems that include people,technology, information and resources.

PEO2 : To apply principles and practices in information technology to solve multiple real world problems.

PEO3 : To become Entrepreneurs or Employees of reputed  Organizations or pursue Higher Education for better adaptability.

PEO4 : To accomplish any tasks with ethical values and commitment to meet the social needs.

Program Specific Outcomes(PSOs)

PSO1 : An expert with aptitude and competence to analyse, design, model, develop,test and manage information systems to offer customized solutions.

PSO2 : A professional with learning abilities to face upcoming challenges in the field of Information Technology.

Programme Outcomes

PROGRAM OUTCOME (PO)

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7: Environment and sustainability: Understand the impact of the  professional  engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8: Ethics: Apply ethical principles and commit  to  professional ethics  and responsibilities  and  norms of the engineering practice.

PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communication: Communicate effectively on complex engineering  activities  with  the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clearinstructions.

PO11: Project management and finance: Demonstrate knowledge and understanding of the  engineering and management principles  and apply  these to one’s own work, as a member  and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 170

CategoryCourse TitleLectureTutorialPracticalCreditsCASEETotal
SEMESTER 1
BSCEngineering Chemistry3--34060100
BSCMathematics I(Calculus
and Linear Algebra)
31-44060100
PCCSoftware Foundation and Programming I3--34060100
ESCBasics of Civil and Mechanical Engineering3--34060100
ESC (Blended)Workshop and Manufacturing Practices1-434060100
BSCChemistry Laboratory--214060100
PCC
(Practical)
Software Foundation and Programming I Laboratory--214060100
MCStudent Induction
Program
-------
MCUniversal Human Values2---100
151818

 

View full course curricm

Eligibility Criteria

ProgramCriteria for MeritEligibility
Criteria for Merit
B.Tech. Information Technology - with specialization in Mobile & Cloud Based Application (in association with IBM)"4 Years
(8 Semesters)"
"First Year:
Passed 10+2 examination with Physics/ Mathematics/ Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship as per table 8.4 Agriculture stream (for Agriculture Engineering) Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
OR
Passed D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme)

Lateral Entry (to Second Year)
Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in ANY branch of Engineering and Technology.
OR
Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
OR
Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)"
"
Merit based on Vels Entrance Examination and percentage of mark secured in the qualifying examination"

Career Prospects

CAREER PROSPECTS

 

  • Cloud Architect
  • Cloud Engineer.
  • Data Center Technician
  • Remote Desktop Engineer
  • Cloud Security Specialist.
  • Mobile Solution Specialist
  • Mobile Application Developer
  • Software Engineer
  • E-Commerce Consultant
  • Software Architect
  • Visual User Interface Designer
  • Lead Programmer

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
65,00044,0001,09,000

Faculty of the Department

S.NoNAME OF THE FACULTYDESIGNATIONEDUCATIONAL QUALIFICATIONAREA OF SPECIALIZATIONEXPERIENCE IN YEARSVidwan IDPHOTO
1Dr.S.ArunProfessor & Director (IQAC)M.E, Ph.DAdvanced Driver Assistance System, Artificial Intelligence20 Years258568
2Dr.K.KalaivaniAssociate Professor & HeadM.E.,Ph.DImage Processing18 Years, 9 Months233987
3Dr. R.AnandanProfessorM.E, Ph.DArtificial Intelligence24 Years84899
4Dr. N. KumarProfessorM.Tech., Ph.DComputer Networks17 Years, 9 Months232473
5Dr.A.RajeshProfessorM.Tech., Ph.DNetwork Security19 Years232499
6Dr.A.PackialathaAssociate ProfessorM.E, Ph.DCloud Computing, Pattern Recognition22 Years, 3 Months253610
7Dr.S.MeeraAssociate professorM.E, Ph.DBig Data,Data Mining27 Years, 2 Months315114
8Dr.K.UlagaPriyaAssociate ProfessorM.E, Ph.DData Analytics,machine Learning,Software Engineering24 Year, 3 Months232452
9Dr.S.SrideviAssociate ProfessorM.E., Ph.DArtificial Intelligence, Machine Learning, Deep Learning16 Years, 7 Months234016
10Dr.A.ManikandanAssociate ProfessorM.E,Ph.DBig Data Analytics12 Years234022
11Dr.R. BalakrishnaAssociate ProfessorM.E, Ph.DMedical Image Processing, Artificial Intelligence10 Years, 7 Months232527
12Dr. R.PariAssociate ProfessorM.Tech., Ph.DArtificial Intelligence, Machine Learning, Deep Learning30 Years543978
13Dr.P.SheelaGowrAssistant ProfessorM.E, Ph.DMachine Learning,
Image Processing,
Cloud Computing
13 Years, 10 Months234045
14Dr.Banushri.AAssistant ProfessorM.Tech.,Ph.D.,Cloud Computing18 Years237876
15Dr.G.RevathyAssistant ProfessorM.E., Ph.D.,Image Processing, Machine Learning, Deep Learning7 Years, 8 Months475353
16Dr. S.ThirumalAssistant ProfessorM.E (SE), Ph.D.,Big Data Analytics13 Years232474
17Dr.P.ThilakavathyAssistant ProfessorME., Ph.D.,Image Processing, Networks12 Years470493
18Dr. A.SarithaAssistant ProfessorM.E.,Ph.DComputer Networks,MANET13 Years, 1 Month233992
19Dr.E.PadmaAssistant ProfessorM.E., Ph.D.Network Security20 Years567880
20Ms.P.MohanaPriyaAssistant ProfessorM.E., (Ph.D.)Machine Learning, Deep Learning4 Years, 2 Months562132
21Ms.ParvathavarthiniAssistant ProfessorME.,(Ph.D.)
Computer Networks, Image Processing, Deep Learning10 Years232483
22Mrs.R.DeepaAssistant ProfessorM.E., (Ph.D.)Artificial Intelligence, Computer Networks,Deep Learning13 Years253738
23Mrs.S.VijithaAssistant ProfessorM.E., (Ph.D.)Block chain technology, Computer Networks, Cloud Computing,Big data security7 Years, 2 Months253591
24Mrs.S.SethuAssistant ProfessorM.E., (Ph.D.)Computer Networks,Network orkSecurity,Deep Learning6 Years469629
25Mr.N.UdayakumarAssistant ProfessorM.E., (Ph.D.)Computer Networks, Network Security, Malware Analysis10 Years, 7 Months315834
26Ms.M.BhanumathiAssistant ProfessorM.E., (Ph.D.)Machine Learning, Deep Learning18 Years467915
27Mrs.P.V.HemavathiAssistant ProfessorM.E., (Ph.D.)Deep Learning,Image processing8 Years 7 months468408
28Ms.Sowmiya.S.MAssistant ProfessorM.E., (Ph.D.)Cloud Computing, Artificial Intelligence8 Years, 6 Months464234
29Ms.Kavitha.S.JAssistant ProfessorM.E., (Ph.D.)Internet of Things, Cloud Computing4 Years, 2 Months469822
30Ms.DivyaBairavi. SAssistant ProfessorM.E.,Artificial Intelligence, Machine Learning1 Year, 1 Month468931
31Ms.S.SaranyaAssistant ProfessorM.E.,Computer Networks1 Year, 1 Month467688
32Ms.Kalpana.RAssistant ProfessorM.E., (Ph.D.)Cryptography and network security,Blockchain17 Years 2 months467969
33Ms.Kavitha.NAssistant ProfessorM.E., (Ph.D.)Image Processing, Machine Learning2 Years, 3 Months279169
34Ms.V.BharathiAssistant ProfessorM.E.,Image processing and AI &Machine Learning11 Years, 2 Months468960
35Ms.S.Gayathri DeviAssistant ProfessorM.Tech., (Ph.D.)Artificial Intelligence and Data science,Image processing16 Years, 2 Months561910
36Mr.S.VaradharajanAssistant ProfessorM.Tech., (Ph.D.)Full Stack Development, Machine Learning, Data Science13 Years, 5 Months561837
37Mrs. S. Sathea SreeAssistant ProfessorM.E, (Ph.D)Machine Learning , Networking and Artificial Intelligence11 Years, 8 Months561829
38Mrs.B.YaminiAssistant ProfessorM.TECHImage processing, Network security1 Years, 10 Months562393
39Mr.D. ManikandanAssistant ProfessorM.E., (Ph.D.)Block Chain, Machine Learning, Artificial Intelligence, Social Network Analysis3 Years, & 10 Months357428
40Mrs.F. Benasir BegamAssistant ProfessorM.E.,Artificial Intelligence, Machine Learning1 Month562410
41Mrs.A. AgalyaAssistant ProfessorM.E.,Artificial Intelligence, Machine Learning, Cloud Computing2 Years,1 month562331
42Mrs.P.M.G. JegathambalAssistant ProfessorM.E.,Image processing, Network security2 Years, 3 Months562147
43Ms. N. MeenakshiAssistant ProfessorM.Tech., (Ph.D.)Artificial Intelligence, Machine Learning3 Years, 6 Months562402

B.E. Electronics and Communication Engineering

Programme Outcomes

PROGRAM OUTCOME (PO)

PO-1: Scientific knowledge: Graduates will acquire biochemistry/biotechnology /
bioinformatics/ microbiology specific knowledge including recent techniques in the respective
fields coupled with hands-on skills and leadership skills for a successful career.

PO-2: Problem analysis: Graduates will be able to analyse, solve and troubleshoot problems in
implementation of biochemistry/biotechnology/ microbiological protocols.

PO-3: Design/development of solutions: Graduates will develop creative thinking and cooperate
with each other to solve problems in the field of biochemistry/biotechnology/bioinformatics/
microbiology.

PO-4: Conduct investigations of complex problems: Graduates will acquire practical skills –
which help in planning and designing protocols to validate hypothesis and execute experimental
techniques independently as well as assimilate, analyse and interpret subsequent data.

PO-5: Modern tool usage and communication: Graduates will effectively be able to manage
resources and time using ICT and computer enabled devices and accomplish ability to
understand and communicate all ideas effectively.

PO-6: Environment sustainability and Ethics: Graduates will get adequate knowledge to use
information and implement solutions for environmental protection and remediation. Graduates
will be aware of their role and responsibility in handling and use of microbes including
genetically modified microorganisms.

PO-7: Lifelong learning: Graduates will carry on to learn and adapt in a world of constantly
evolving technology.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

Hours/WeeMaximum Marks
Code No.CourseLectureTutorial PracticalCreditsCASEETotal
SEMESTER 1
LANGTamil I/
Hindi / French
30034060100
ENGEnglish I30034060100
CORE1Fundamentals of Cell
Biology
31044060100
CORE2Genetics and
Developmental Biology
31044060100
CORE3Biochemistry40044060100
COREPractical 1 : Cell Biology, Genetics Developmental Biology Practica00424060100
COREPractical 2 :
Biochemistry Practical
00424060100
AECCCommunication Skills10224060100
SECOrientation/Induction programme / Life skills-------
1721024

 

View full course curriculum

Eligibility Criteria

ProgramEligibilityCriteria for Merit
B.E. Electronics and Communication EngineeringLateral Entry : The Candidate who passes the Diploma in Engineering / Technology awarded by the concerned State Board of Technical Education or its equivalent are eligible to apply for Lateral Entry admission to the third semester of B.E., / B.Tech. in the branch corresponding to the branch of study.Merit Based on Vels Entrance Examination Score and Merit Based on Percentage of marks secured in the qualifying examination.

Career Prospects

CAREER PROSPECTS

 

  • Quality controller

  • Medical Scientist

  • Clinical Technician

  • Microbiologist

  • Process Development Scientist

  • Biopharma Sales Representative

  • Biotechnological Technician

  • Epidemiologist

  • Microbiologist

  • Medical and Clinical Lab Technologist

  • Biomanufacturing Specialist

  • Bioproduction Specialist

  • Medical Coder

  • Environmental Technician

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)
Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
90,000 10,000 1,00,000

Faculty of the Department

Sl. No.
Name of the Faculty
Designation
Educational Qualification
Area of Specialization
Experience in Years
Vidwan IDPhotos
1Dr.Rajendran.VProfessorM.Tech., Ph.D.,Systems and Signals, Underwater Electronics, Marine Instrumentation, Underwater signal processing, Ocean Acoustics, Wireless Network & Data Science and Analytics37290838
2Dr.Arun.CProfessorM.E., Ph.D.,
3Dr.Jerritta .SProfessorM.E, Ph.DPsychophysiology, Biomedical Signal and Image Processing, Time Frequency Analysis of time series, Artificial Intelligence & Machine Learning17.5173520
4Dr.Vijayalakshmi.AProfessorM.E., Ph.D.,5G Networks, IoT and Embedded Systems, Wireless Sensor Networks22.2232640
5Dr.Jothilakshmi.G.RProfessorM.E.,Ph.DMedical and Under water Image Processing, Pattern Recognition, Machine learning & Deep Learning Techniques25.2232524
6Dr.Vijayalakshmi.PAssociate ProfessorM.E, Ph.DUnderwater Communication and Networking, Machine Learning18.4232580
7Dr.Meena.MAssociate ProfessorM.E.,Ph.DWireless Networks - Cognitive radio13.2232479
8Dr.Jaya.TAssociate ProfessorM.E, Ph.DWireless Networking, Underwater Communication19.7290166
9Dr.Arun RaazaAssociate ProfessorM.Res.(UK), Ph.DWireless Communication, Embedded Systems10.1563428
10Dr.Kumudham.RAssociate ProfessorME., MBA, Ph.DImage Processing,, Biomedical applications and Electromagnetics15.1173380
11Dr.Mary Livinsa.ZAssociate ProfessorM.E., Ph.DWireless Sensor Networks14563366
12Dr.Arulstephen.CAssistant ProfessorM.E., Ph.D.,Wireless Networks, Machine Learning15.7250052
13Dr.Monisha.MAssistant ProfessorM.E, Ph.DWireless Networks, Cognitive Radio Networks & Artificial Intelligence8.11232464
14Dr.Madona B. SahaaiAssistant ProfessorM.Tech,Ph.D.,Medical Image Processing6.2250933
15Ms.Suvetha.GAssistant ProfessorM.E.,Cyber Security, Social Engineering, Machine Learning8.2563354
16Dr.Hemalatha.R.JAssociate ProfessorM.Tech, Ph.D
17Mr.Chandrasekaran.RAssistant ProfessorM.E, (Ph.D)
18Ms.Josephin Arockia Dhivya.AAssistant ProfessorM.Tech., (Ph.D)
19Ms.Thamizhvani.T.RAssistant ProfessorME, (Ph.D.,)
20Ms.Jaya RubiAssistant ProfessorM.Tech.,
21Mr.Mutheeswaran.UAssistant ProfessorM.E.,

M.B.A. (Business Analytics)

Programme Educational Objectives (PEOs)

Programme Educational Objectives (PEOs)

PEO 1: To provide best quality of education and prepare the students to meet global standards and

competitive environment.

PEO 2: To inculcate team spirit and leadership capabilities among students to develop business leaders  attain organizational development.

PEO 3: To impart ethical and moral values to create better citizens and society.

PEO 4: To develop entrepreneurial skills to think strategically and encourage them to become

entrepreneurs.

Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

Program Outcomes (POs)

PO 1: Apply knowledge of management theories and practices to solve business problems.

PO 2: Foster Analytical and critical thinking abilities for data-based decision making.

PO 3: Ability to develop Value based Leadership ability.

PO 4: Ability to understand, analyze and communicate global, economic, legal, and ethical aspects of Business.

PO 5: Ability to lead themselves and others in the achievement of organizational goals, contributing effectively to a team environment.

PO 6: Create, select and apply appropriate modern tools & techniques for analyzing, interpreting and solving business complexities.

PO 7: Develop an aptitude for creativity, innovation and entrepreneurship.

PO 8: Adapt life-long learning and professional development to enrich knowledge and competencies.

Program Specific Outcomes (PSOs)

PSO 1: Apply analytics principles to integrated business activities to articulate and deliver customer oriented quality outcomes within legal and ethical frameworks.

PSO 2: Develop operations to source and utilize appropriate analytics to support the implementation of business strategies and manage resources to improve business operations.

PSO 3: Utilize state-of-the-art analytics practices to implement strategic and operational concepts and techniques that underpin business for domestic and international markets.

Curriculum & Syllabus

Curriculum & Syllabus

Total Credits : 102

SEMESTER IHour / WeekMaximum Marks
CodeCourseLTPCCASEETotal
23CMBN11Managerial Concepts and Organizational Behaviour40044060100
23CMBN12Business Statistics for Data Science31044060100
23CMBN13Managerial Economics40044060100
23CMBN14Accounting and Finance for Data Science31044060100
23CMBN15Legal and Business Environment40044060100
23CMBN16Soft Skills and Etiquette for Managers40044060100
23PMBN11Database Management System & SQL00214060100
23PMBN12Data Visualization using R and Python (IBM)00214060100
23PMBN13Business Analytics with Spreadsheet00214060100
23PMBN14PRACTICAL - MOOC I00214060100
222828

View Full Curriculum

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.B.A. Business Analytics2 Years (4 Semesters)Any Bachelor Degree of Minimum 3 years duration
10+2+3 pattern or 10+2+4 pattern of Education
Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.
Merit based on percentage of marks secured in the qualifying examination and score secured in CAT, MAT, XAT, VELS Entrance Test

Career Prospects

CAREER PROSPECTS

  • Data analyst
  • Supply chain analyst
  • Big Data analyst
  • Business analyst
  • Predictive modeler
  • Technology analyst
  • Analytics managers
  • Data architect
  • Market research analyst
  • Data scientist
  • Business intelligence manager
  • Customer insights analyst
  • Management analyst
  • Health care Analysts
  • IT analyst

 

Alumni Testimonials

Fees Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
77,00054,0001,31,000 + One Time Fees - Rs. 35,000

Housekeeping

Course Outcomes

Course Outcomes

CO1: Realize the role of the housekeeping department in hotels and its responsibilities.

CO2: Develop personal skills and in accommodation operation and services.

CO3: Design the organizational structure and the functional layout of housekeeping departments in various sized hotels.

CO4: Co-ordinate with other departments in the hotel Suggest the types of cleaning agents for different level of cleaning.

CO5: Practice and create a safe working environment

Curriculum & Syllabus

CURRICULUM & SYLLABUS

Theory Practical
House Keeping - (Theory)House Keeping - (Practical)

Eligibility Criteria

Carreer Propects

Alumni Testimonials

Fee Structure

Tuition Fee per yearAdministration FeeRegistration FeeMisc.
(per sem)
Skill Enhancement Fee
(per year)
Exam Fee
(Per Sem)
At the time of admission
Even Sem
Odd Sem
20,0004,6502,650
3001500
19,100
10,300
11,800

M.A. Astrology

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.A Astrology2 Years (4 Semesters)Pass in UG with Specialization in Astrology.Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
13,000 6,000 19,000

LL.M Labour and Administrative Law

Programme Outcomes

  • PO-1: Carry out independent research by utilizing their knowledge of variety of sources over a wide range of legal issues and concerns. (Legal Knowledge)
  • PO-2: Exhibit analytical abilities that are necessary to evaluate the decisions pronounced by the courts, as well as various provisions of law; and re-interpret the views and submissions of jurists and academicians. (Analytical Skills)
  • PO-3: Provide solutions to various issues based on the knowledge and understanding of the substantive and/or procedural components in their area of expertise. (Critical Thinking)
  • PO-4: Conduct independent research on a variety of subjects, especially in their area of specialization and author scholarly research papers. (Research Skills)
  • PO-5: Work on a variety of socio-legal concerns and cultivate a strong sense of duty and responsibility towards society. (Social Responsibility)
  • PO-6: Gain a reputation as an accomplished legal expert in today’s demanding marketplace by mastering the most recent developments in the legal profession including using of modern da technology. (Competitive Skills)
  • PO-7: Apply diverse knowledge to prepare for higher research degree while maintaining focus on the goals. (Higher Education)
  • PO-8: Capable of putting their thoughts into words and their words into action, thus being able to communicate effectively (Communication Skills).
  • PO-9: Able to work independently, identify appropriate resources required for a project, and manage project through to completion (Self-Directed Learning).
  • PO-10: Embrace moral/ethical values in conducting one’s life, avoiding unethical behaviours and adopting professional, objective, unbiased and truthful actions in all aspects of work (Moral and Ethical Awareness).

Eligibility Criteria

 

Program Eligibility
LL.M Labour and Administrative Law Pass in LLB / 5 Years Integrated LLB degree from recognized University.
Age : As per norms of BCI

Career Prospects

  • CAREERS IN LABOUR DEPARTMENT
  • LAW ACADEMICIAN
  • LAW RESEARCHER
  • POLICY MAKER
  • LEGAL RESEARCH ANALYST
  • ADVOCATE
  • JUDICIAL SERVICES
  • CIVIL SERVICES
  • JOURNALIST
  • LEGAL ADVISOR IN CORPORATES
  • ENTREPRENEUR
  • POLICY RESEARCH ANALYST
  • ALL FIELDS THAT REQUIRE LAW GRADUATES

M.Sc Radiology & Imaging Technology

Program Outcomes (PO)

PROGRAM OUTCOMES (PO)

 

After completing this course, students will be able to:-

  • Perform various Radiological procedures which are necessary for diagnostic
  • Understand the advanced applications of Radiological Equipment such as MRI Machine, CT Scan Machine, X-ray Machine
  • Maintain radiation safety principles in radiology
  • Enhance knowledge from clinical experience, interactions & discussions and research to improve the quality of training and education in
  • Explore the subject in depth and develop high degree of expertise to contribute to advancement of knowledge in radiology.
  • Develop teaching and presentation skills necessary to become efficient teachers utilizing state-of-the art facilities and equipment.

 

 

Curriculum & Syllabus

Curriculum & Syllabus

Sl.No.CategoryCourse TitlesHours/CreditsMaximum Marks
LectureTutorialPracticalTotalIAUATotal
TheoryPracticalTheoryPractical
HoursCreditsHoursCreditsHoursCreditsCredits
1.1Program CoreRadiological Physics453301602625507550200
1.2Program CoreConventional Radiological and Imaging Equipment453301602625507550200
1.3Program CoreRadiographic and Imaging Techniques453301602625507550200
1.4Program ElectivePrinciples of Epidemiology, Research Methodology, Biostatistics and
Medical Ethics*
302----2100---100
1.5Program ElectiveRIT Directed Clinical Education----120445050--100
Total24Total700

View full Curriculum syllabus

Career Prospects

Career Prospects

 

  • Radiology Technologists
  • Diagnostic Medical Sonographer
  • MRI Technologist
  • CT Technologist
  • Radiation Safety officer
  • Research analyst
  • Application Manager
  • Lecturer

 

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.Sc Radiology & Imaging Technology2 Years (4 Semesters)Degree in B.Sc. Radiology & Imaging Technology / Medical Imaging TechnologyMerit based on the percentage of marks secured in qualifying examination

Fees Structure

Tuition Fee 2024 - 2025 (Per Sem) Other Fees
(Per Sem)
Total Fee 2024 -2025 (Per Sem)
48,55037,95086,500

bca phase1

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)Total Fee 2024 - 2025 (Per Sem)
33,00025,00058,000

Department of Microbiology

About the Department

The Department of Microbiology is one of the oldest departments, established in 1993 and was integrated into the School of Life Sciences, VELS University during 2008. The department offers B.Sc. Microbiology and a novel job-oriented course, M.Sc. Immunology and Microbiology in addition to M.Phil. and Ph.D. programmes in research. The syllabus of these programmes is fortified with the latest developments to facilitate easy employability. The curriculum is based on Choice Based Credit System (CBCS) providing academic flexibility with Core and Elective courses enabling student community to prefer their electives of interest. Priority is also given to enhance the research ability among students and motivate them to become future scientists in the form of training/internship, group projects and dissertation works. This practice improves the analytical skill and logical reasoning of the student. Developing entrepreneurship skills among students is another priority given by the department. The department provides hands-on experience in microbiological techniques through two common  laboratories and one research laboratory, equipped with basic and modern equipments such as PCR, Gel Documentation, ELISA Reader, Cooling Centrifuge, BOD etc.

The department comprises of dedicated, experienced and qualified faculty members with teaching and research proficiency. In addition to teaching, faculty members are actively engaged in research by applying and carrying out funded projects.  Faculty members also have research publications of their research findings in reputed indexed journals. The thrust areas of research include Marine Bio products, Applied Immunology, Plant- Microbe Interactions, Molecular drug resistance mechanisms, Molecular interactions in biofilms, Medical and Applied Mycology, Bio-nanomaterials etc.

The department has organized many conferences/seminars/workshops/guest lectures for the benefit of the student community in providing opportunity to interact with scientists and delegates from other universities and industries.  Students are also encouraged to participate/present their research findings in International and National Conferences. The department is also actively linking up with industries of high repute in terms of short-term training and student projects. The department has signed an  MoU with Asian Enviro Labs for training of students. The alumni of the department are well placed in government and non-government sectors. The department along with a well functioning placement cell enables students to get good placements in healthcare, food, dairy, pharmaceutical industries. Overall, the department provides conducive environment to foster research led academic programs enabling students to be professionally competent.

Vision & Mission

Vision of the Department

To produce graduates with relevant education descriptors and hands-on skills in microbiology and related areas of life sciences plus holistic development of individuals that makes them responsible citizens of society.

Mission of the Department

• Imparting relevant knowledge and creating an atmosphere to develop innovative and critical thinking.
• Skill enhancement through hands-on training and value-added courses plus add on courses.
• Sustained focus on original high quality research encouraging scientific thinking and approach.
• Creating an environment for holistic development of individuals with emphasis on spirit of integrity, equity, professional ethics and social harmony through the exposure and participation in co-curricular, extracurricular and extension activities.

Programmes Offered

  • B.Sc MICROBIOLOGY 
  • M.Sc IMMUNOLOGY & MICROBIOLOGY, 
  • M.Phil, Ph.D

 

Faculty-Student Ratio:  1: 20

Program Educational Objectives (PEOs)

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

PEO1: To provide the graduates with knowledge in microbiology and an overview of the processes that employ or deal with microbes that enables them to handle the safe and efficient use of microbiological applications with development of competence on par with global standards and helps the graduates for life-long learning.

PEO2 To prepare graduates by imparting skills to use technological developments related to current and advanced areas involving molecular diagnostics, immunotechnolgy, mass cultivation of microbes, downstream processing and nanotechnology with scope for upskilling in all potential future technologies so as to contribute effectively for Research & Development leading to patenting and publishing.

PEO3: To train graduates to choose a decent career option either as Entrepreneur or having a high degree of employability; or pursue higher education – by empowering students with basic interpersonal skills, ability to handle critical situations allowing them to be good team members as well as training to excel in competitive examinations.

PEO4: To impart a strong sense of social responsibility with awareness of professional and societal ethical values and scope to develop leadership capabilities.

PEO5 : To establish an environment that accentuates the requirement to fulfil life-long learning for the overall development of self and society at large.

Program Outcomes (PO) & Program Specific Outcome (PSO)

PROGRAM OUTCOMES (PO)

PO1- Microbiology knowledge: Graduates will acquire microbiology specific knowledge including molecular biology, immunology and rDNA technology coupled with hands-on skills and leadership skills for a successful career.

PO2- Problem analysis: Graduates will be able to analyse, solve and troubleshoot problems in implementation of microbiological protocols.

PO3- Design/development of solutions: Graduates will develop creative thinking and cooperate with each other to solve problems in the field of microbiology.

PO4- Conduct investigations of complex problems: Graduates will acquire practical skills – which help in planning and designing protocols to validate hypothesis and execute experimental techniques independently as well as assimilate, analyse and interpret subsequent data.

PO5- Modern tool usage and communication: Graduates will effectively be able to manage resources and time using ICT and computer enabled devices and accomplish ability to understand and communicate all ideas effectively.

PO6- Environment sustainability and Ethics: Graduates will get adequate knowledge to use information and implement solutions for environmental protection and remediation. Graduates will be aware of their role and responsibility in handling and use of microbes including genetically modified microorganisms.

PO7- Lifelong learning: Graduates will carry on to learn and adapt in a world of constantly evolving technology.

PROGRAM SPECIFIC OUTCOME (PSO)

PSO1: Microbiology skills: The ability to understand the basic concepts related to the relevant fields of microbiology which will enable them to analyse and develop solutions to microbiology related problems.

PSO2: Microbiology related employability skills: The ability to use the acquired hands-on skills in microbiology, molecular biology, immunology, medical microbiology and screening for useful biomolecules within employment areas.

 PSO3: Successful Career and Entrepreneurship:  The ability to gainfully become an entrepreneur by using microorganisms to produce biofertilizers, mushrooms and pharmaceutically important biomolecules as well as using practical hands-on training to become employed in diagnostic, industrial, pharmaceutical, food and research and development laboratories.

 

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

Hours/weekMaximum Marks
Code No.CourseLectureTutorialPracticalCreditsCASEETotal
SEMESTER 3
LANGTamil III/ Hindi III/ French III 30034060100
ENGEnglish – III30034060100
CORE 7Introduction to Environmental Microbiology40044060100
CORE 8Basic Food Microbiology30244060100
CORE 9Introduction to Virology40044060100
AECCEnvironmental Studies20024060100
COREPractical in Environmental microbiology00424060100
SECSoft Skills - II / Sector Skill Council Course20024060100
SECSwayam / NPTEL / Value Added Course-------
Total210624

 

View full course curriculum

Program Educational Objectives

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

PEO 1:To provide the candidates with in-depth knowledge in immunology and microbiology and afirm grasp of the processes that employ or deal with microbes plus adept use of immunological techniques in relevant technologies that empowers them to deal with the safeand efficient use and monitoring of microbiological and immunological applications with development of competence on par with global standards and helps in the life-long learningof candidates.

PEO 2:To enable candidates by imparting updated analytical and hands-on skills to use andimplement technological developments related to advanced and potential areas involving molecular diagnostics, automated systems of diagnosis, immunoblotting technology,upstream or downstream processing and nanotechnology with scope for upskilling upto future technologies so as to contribute effectively for Research & Development leading topatenting and publishing.

PEO 3:To train candidates to choose a decent career option either as Entrepreneur or having a high degree of employability; or pursue research – by providing training in interpersonal skills,sense of social responsibility, ethical and administrative acumen, ability to handle critical situations allowing them to be good team members and leaders as well as training to excel incompetitive examinations.

PEO 4:To impart a strong sense of social responsibility with awareness of professional and societal ethical values and scope to develop leadership capabilities with the continuous need for lifelong learning.

 

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
B.Sc Micro-Biology3 Years (6 Semesters)A pass in higher secondary with Physics, Chemistry, Biology/ Botany/ Zoology/ Vocational – Agriculture or any Life SciencesMerit based on the percentage of marks secured in the qualifying examination

Programme Outcomes & Programme Specific Outcomes

PROGRAM OUTCOME (PO)

PO-1: Life Sciences knowledge: Successful candidates will apply current/recent specific knowledge in the respective discipline with proficiency in practical skills and leadership skills for a successful career.

PO-2: Problem analysis: Successful candidates will be able to apply the knowledge in microbiology to design standards, resolve and troubleshoot problems in implementation or standardization of protocols.

PO-3: Design/development of solutions: Successful candidates will develop creative and cognitive thinking and cooperate with each other to solve problems in the field of Life sciences.

PO-4: Conduct investigations of complex problems: Successful candidates will acquire capabilities to plan and design protocols and utilize practical skills to validate hypothesis by executing experimental techniques independently coupled with the ability to assimilate, apply, analyze, interpret and accurately evaluate subsequent data.

PO-5: Modern tool usage: Successful candidates will effectively be able to choose and manage resources including time using ICT and other computer enabled devices.

PO-6: Ethics: Successful candidates will be aware of their role and responsibility in proper handling, use and safe disposal of microbes including genetically modified microorganisms.

PO-7: Communication: Successful candidates will have the ability to understand and communicate all ideas and concepts effectively.

PO-8: Environment sustainability: Successful candidates will get adequate knowledge to use information and implement solutions for environmental protection, safeguards and remediation.

PO-9: Lifelong learning: Successful candidates will carry on to learn, adapt and disseminate knowledge in a world of constantly evolving technology.

 

PROGRAMME SPECIFIC OUTCOMES (PSOs)

The overall outcome of graduates specific to M.Sc. in Immunology & Microbiology programme at VISTAS can be summarized as:

PSO 1:The ability to understand, implement and troubleshoot the concepts related to the fields ofmicrobiology and immunology which will enable them to analyse and develop solutions tomicrobiology, immunology and rDNA related problems using knowledge and hands-on skillsin microbiology, molecular identification, immunodiagnostics, screening for useful biomolecules and nanotechnology in the interpretation of data in relevant protocols.

PSO 2:The ability to gainfully become an entrepreneur by using microorganisms to mass producebiofertilizers, mushrooms or any other edible forms of SCP, fermented productsand pharmaceutically important biomolecules as well as using knowledge, communication andpractical hands-on training to become employed in diagnostic, industrial, pharmaceutical, food and research and development laboratories.

PSO 3:The ability to understand the principles and concepts underlying immunology and microbiology, including the interactions between microorganisms and the immune system and to Possess proficient laboratory skills in techniques relevant to immunology and microbiology, including culturing microorganisms, performing immunological assays, and molecular biology techniques such as PCR and sequencing etc.,

PSO 4:The ability to critically analyze the research in Immunology and Microbiology and to evaluate experimental design, methodology and interpretation of results and to understand the regulation of immune responses which includes the roles of different immune cells, cytokines and signaling pathways in health and disease.

PSO 5:For the effective scientific communication and to relate microbes and their role in ecosystem and public health research with wide opportunities and career prospects.

Career Prospects

CAREER PROSPECTS

 

  • Clinical Laboratory Scientists
  • Food Scientists and Technologists
  • Immunologists
  • Mycologists
  • Parasitologists
  • Personal Care Product and Cosmetic Scientists and Technologists
  • Pharmaceutical Scientists and Technologists
  • Science Writers
  • Technical Support Specialists
  • Virologists
  • Water Quality Laboratory Technicians

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 90

Hours/weekMaximum Marks
Code No.CourseLectureTutorialPracticalCreditsCASEETotal
SEMESTER 1
CORE 1 Cell Culture and Fermentation
Technology
40044060100
CORE 2Immunology40044060100
CORE 3General Microbiology 30244060100
COREPractical Immunology and
Systemic Bacteriology
00424060100
DSEMedical Bacteriology and
Virology
40044060100
DSEIndustrial Microbiology40044060100
SEC Soft Skill 1 20024060100
Total210624280420700

 

View full course curriculum

Alumni Testimonials

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.Sc Immunology & Microbiology2 Years (4 Semesters)Degree in B.Sc., (Microbiology/ Biotechnology/ Biochemistry/ Bioinformatics/ Botany/ Zoology or any Biological Sciences)Merit based on the percentage of marks secured in the qualifying examination

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
17,00013,00030,000

Career Prospects

CAREER PROSPECTS

 

  • Clinical Laboratory Scientists
  • Clinical or research laboratory manager
  • Biotechnologists
  • Biosafety officer
  • Food Scientists and Technologists
  • Immunologists
  • Teachers and Professors
  • Mycologists
  • Parasitologists
  • Personal Care Product and Cosmetic Scientists and Technologists
  • Pharmaceutical Scientists and Technologists
  • Research associate
  • Science Writers
  • Technical Support Specialists
  • Virologists
  • Water Quality Laboratory Technicians

Faculty of the Department

Sl. No.
Name of the Faculty
Designation
Educational Qualification
Area of Specialization
Experience in Years
Vidwan IDPhotos
1Dr.Kathireshan AKProfessorM.Sc., M.Phil,SLET, Ph.DMolecular Drug Resistance, Plant Microbiome and Bioprospecting of Marine Algae29 years 1 month234065
2Dr.Suresh DhanarajProfessorM.Sc.,M.Phil, Ph.D,NET.Microbial Nanotechnology, Fermentation Technology24 years 2 months290392
3Dr.Gayathri.GAssociate ProfessorM.Sc., M.Phil, SET, Ph.DMicrobial Biofilms, Nanomaterials, Immunotherapeutics25 years 2 months173799
4Dr.Prabha.S.BAssistant ProfessorM.Sc., Ph.DApplied Microbiology8 years2 months234101
5Dr.Raj Youganandh.S.VAssistant ProfessorM.Sc., Ph.DMycology, Antimicrobial resistance5years,0months234082
6Dr.Murugan.KAssistant ProfessorM.Sc., Ph.DBioremediation, Biodegradation, Waste water treatment using VBNC Bacteria1years,1months469422
7Dr.Sudharsan.KAssistant ProfessorM.Sc., Ph.DIndustrial microbiology, Biopolymer production7 years 10 months469400

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
25,00020,00045,000

M.A Bharatanatyam

Program Outcome (PO)

PROGRAM OUTCOME (PO)

PO1: A advanced and systematic or coherent understanding of the academic field of Bharatanatyam, its different learning areas and applications, and its linkages with related disciplinary areas/subjects.

PO2: Be well versed in the various theoretical concepts with an outline study of musical treatises in Sanskrit and Tamil from ancient to modern times.

PO3: Be able to present and perform Indian Classical Bharatanatyam with a good repertoire of compositions.

PO4: The skills and knowledge gained has intrinsic beauty, which also leads to proficiency in analytical reasoning.

PO5: Skills in areas related to one’s specialization area within the disciplinary and current and emerging developments in the field of Music and Fine Arts. 

Curriculum & Syllabus

Curriculum & Syllabus

Total number of Credits: 90

SEMESTER IHours/Week Maximum Marks
Code No.Course LectureTutorial PracticalCredits CA SEETotal
CoreHistorical and Theoretical Concepts of Fine Arts (Theory)40044060100
CoreA Literary Survey of Dance Concepts (Theory40044060100
CoreBharatanatyam Repertoire – 1 (Practical)20444060100
CoreFoundation Course in Performance-1 (Practical)10224060100
DSE

Foundation Course in Dance Music - 1 (Practical)20444060100
DSE

Bharatanatyam Repertoire -2 (Practical)03244060100
SECSoft Skill 1/
Sector Skill Course
20024060100
Total1531224

View Full Curriculum

 

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.A Bharatanatyam2 Years (4 Semesters)B.A. Degree (Bharata Natyam) or Bachelor of Dance (B.Dance) Any UG degree with Diploma in Dance or Grade exams or Five years training in Bharata Natyam from recognized InstituteMerit based on percentage of marks secured in the qualifying examinations

Career Prospects

CAREER PROSPECTS

  • Professional Performer
  • Teaching Faculty at Schools
  • Entrepreneurs
  • Aboard Programmes
  • Doordharshan Grade Artist.
  • Own Institution

 

Alumni Testimonials

Fees Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
15,000

10,000 25,000

BCA

Programme Educational Objectives (PEOs)

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

PEO1: Emerge as globally competent computer professionals in multidisciplinary domains.

PEO2: Excel as a socially committed individual having an ethical value and empathy for the needs of society

PEO3: Become an entrepreneur possessing a leadership skill that can provide solutions and develop software products.

PEO4: Involve in lifelong learning to adapt the latest technologies and advancements in the emerging areas of computer applications.

PEO5: Provide technical & skill-based quality training to the students in the field of Information technology.

Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

PROGRAM OUTCOME (PO)

PO1: Critical Thinking: Apply knowledge of Computer Science to identify, and analyze, problems and to provide effective solutions in the area of Computing.

PO2: Computing Skills and Ethics: Analyze a problem, and identify and define the computing requirements appropriate to its solution.

PO3: Analytical skill: Ability to design, develop algorithms, and provide software solutions to cater the industrial needs.

PO4: Modern Tool Usage: Use current techniques, skills, and tools necessary for computing practices

PO5: Employability Skills: Inculcate skills to excel in the fields of Information Technology and its Enabled services, Government and Private sectors, Teaching and Research.

PO6: Ethics: Insists ethical responsibilities, and human and professional values, and makes their contribution to society.

PO7: Self-Directed and Life-long Learning: Engaged in lifelong learning to equip them to the changing environment and be prepared to take up mastering programs.

PO8: Individual and team work: Function effectively as an individual, and as a member or a leader in diverse team and multidisciplinary settings.

PO9: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO10: Project management and finance: Demonstrate knowledge and understanding of the problem and management principles and apply

PO11: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data

PO12: Design/development of solutions: Design solutions for complex problems to meet the specified needs, considering the public health and safety cultural, societal, and environmental.

PROGRAM SPECIFIC OUTCOME (PSO)

PSO1: Understand the basic concepts of computers.

PSO2: An ability to apply knowledge of mathematics, computer science, and management in practice.

PSO3: An ability to enhance not only a comprehensive understanding of the theory but its application too in diverse field

PSO4: Analyze and apply the latest technologies to solve problems in the areas of computer applications.

PSO5: Apply technical and professional skills to excel in business.

PSO6: Able to build software applications and tools through quantitative and qualitative techniques

PSO7: Able to design a computing system to meet desired needs within realistic constraints such as safety, security, and applicability in multidisciplinary teams with a positive attitude.

PSO8: Develop practical skills to provide solutions to industry, society, and business

PSO9: Able to communicate effectively in both verbal and written form.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

CategoryCourseHours/WeekCredits
LectureTutorial Practical
CORE Problem Solving and Objects Oriented Programming4004
CORE Digital Logic Fundamentals4004
CORE Mathematics I0062
COREPratical -I
Programming in C++
0062
AECCAbility Enhancement Complusory Courses - I5005
AECCEnglish Paper - I5005
Total220624

View full course curriculum

 

 

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
B.C.A.3 Years (6 Semesters)"Pass in (10+2) or equivalent with Maths/ Computer Science/ Computer Applications /Business Maths/ Statistics/ Informatics Practices/Information Technology/Artificial Intelligence

Lateral Entry: Pass in Diploma in Computer Science/ ECE/ Visual Communication/ EEE/ Information Technology/ Computer Technology"

Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

CAREER PROSPECTS

 

  • Software Developer
  • Software Publisher
  • Systems Administrator
  • Chief Information Officer
  • Computer Programmer
  • Computer Support Service Specialist
  • Computer Scientist
  • Computer Systems Analyst
  • Database Administration
  • Information Systems Manager

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem) Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
33,00025,00058,000

Faculty of the Department

Sl. No.
Name of the Faculty
Designation
Educational Qualification
Area of Specialization
Experience in Years
Vidwan IDPhotos
1Dr.Sujatha.PProfessor and HeadM.Sc.,M.Phil, SET, Ph.DImage Processing, Machine Learning, Cloud Coomputing & CNN25 Years233984
2Dr.Kamalakannan.TProfessorM.C.A. M.Phil., SET, Ph.DData Mining25 years 5 months250928
3Dr.Kalpana.YProfessorM.C.A, M.Phil., Ph.DNeural networks, image Processing, cloud computing25 years 6 months250134
4Dr.Rohini.KProfessorMCA., M.Phil.,Ph.DData Anlytics, Parallel processing system, Networking, Internet of Things & Machine Learning17 years 6 months290690
5Dr.Booba.BProfessorMCA, M.Phil,Ph.DGrid Computing, Distributed Computing and Parallel Computing, Networking, Video Processing, Big Data Analytics, Cloud Computing, Data Mining, Internet of Things & Machine Learning25 years 2 months232629
6Dr.Devi RadhakrishnanAssociate ProfessorM.C.A, M.Phil., SET, NET., Ph.DImage Processing , Data Mining & Cloud Computing17 years 6 months232625
7Dr.Kasturi.KAssociate ProfessorM.Sc., MCA.,M.Phil., Ph.DData Mining , Big Data Analytics & Machine Learning17 years 6 months250831
8Dr.Jebathangam.JAssociate ProfessorM.C.A, M.Phil., Ph.DImage Processing & Machine Learning16 years3 months250023
9Dr.Kamalakkannan.SAssociate ProfessorM.Sc., M.Phil., Ph.DData Mining & Big Data19 years 6 months232622
10Dr.Dharmarajan.KAssociate ProfessorM.Sc., M.Phil., Ph.DData Science ML and AI , Big Data and IoT18 years 2 months232572
11Dr.Sharmila.KAssociate ProfessorM.Sc., M.Phil., Ph.DBig Data & Machine Learning14 years 4 months233823
12Dr.Jeyalaksshmi.SAssociate ProfessorMCA, M.Phil, Ph.DImage Processing, Data Mining & Internet of Things20 years 2 months116757
13Dr.Bagavathi Lakshmi.RAssociate ProfessorMCA.,M.Phil., Ph.DData Mining & Internet of Things16 years 2 months472626-
14Dr.Vidhya.AAssistant ProfessorMCA, M.Phil.,Ph.DBig Data Analytics , Machine Learning & Deep Learning19 years 2 months250787
15Dr.Sathya.SAssistant ProfessorM.Sc., M.Phil., Ph.DChemInformatics , Data Mining, machine Learning , IoT,Image Processing15 years 2 months250807
16Dr.Piramu Preethika.SK.Assistant ProfessorMCA, B.Ed.,M.Phil, Ph.DMobile Computing,IoT,data analytics, Sentiment analysis, Machine Learning & Cloud Computing9 Years 11 Months250813
17Ms.Arockiya Selvi.SAssistant ProfessorMCA, M.Phil,(Ph.D)Data Mining & Big Data11 years251505
18Dr.Raghavendran.VAssistant ProfessorMCA., MBA.,M.Phil., Ph.D.,PDFE-commerce Security and AIML& DL, IoT,Big data, Data Mining and Warehousing22 years 6 Months249741
19Dr.Hemamalini.UAssistant ProfessorM.Sc.,M.Phil.,Ph.DSentiment Analysis17 years 6 months315150
20Dr.Divya.VAssistant ProfessorM.Sc, M.Phil, Ph.DNetworks8 years 7 months314873
21Dr.Bharathi.AAssistant ProfessorM.Sc,M.Phil, Ph.DImage Processing, Machine Learning7 years 3 months315143
22Dr.Yogeshwari.MAssistant ProfessorM.Sc,M.Phil,Ph.DImage Processing,Machine Learning7 years 2 months393508
23Dr.Rani.SAssistant ProfessorM.Sc, M.Phil, Ph.DImage Processing, Cloud Computing9 years472508
24Dr..Shyamala Devi.NAssistant ProfessorMCA, M.Phil,Ph.DNatural Language Processing,Text Mining13 years470942
25Dr.Sangeetha RadhakrishnanAssistant ProfessorMCA., Ph.DDistributed Database,Cryptography,Security1 year322257-
26Dr.Ramesh.LAssistant ProfessorM.Sc.,B.Ed.,M.Phil., Ph.DData Mining, Image Processing , Big data, Artificial Intelligence,Machine Learning,6 years 2 months416502-
27Dr.Sakthivanitha.MAssistant ProfessorM.Sc (CS)., M.Phil., Ph.D.,Data Mining, IoT, Network security5 years 6 months474749-
28Dr.Anbarasi.CAssistant ProfessorM.C.A.,M.Phil,Ph.DData Mining18 years 6 months472564-
29Dr.Grace Hannah.JAssistant ProfessorM.Sc(CS)., M.Phil (CS)., Ph.D (CS)Image Processing, Data Mining, Machine Learning7 years 2 months432211-
30Ms.Jayashree.SAssistant ProfessorM.Sc.,M.PhilImage processing & Machine learning2 years1 month472680-
31Dr.Balaji KannanAssistant ProfessorMCA., M.Phil. M.E., MBA,DLL.,Ph.DCloud Computing, Cloud data security, Network security, IOT, Bigdata.13 years474352-

BPT

Programme Outcomes

PROGRAM OUTCOME (PO)

PO1: During this BPT degree, one can gain a comprehensive knowledge of physiotherapy, including areas such as Orthopedics, neurology, cardiac & Respiratory conditions, OBG and preventative health care. 

PO2: The Bachelor of Physiotherapy incorporates significant clinical and professional  training opportunities, providing hands-on experience with real patients in a supervised environment. 

PO3: Students will have the ability to effectively work with patients and other Clients with respect to the care of individuals, specific groups, communities or populations 

PO4: Students will have the Demonstrated skills that support lifelong learning in personal and professional development 

PO5: One can apply a distinct body of knowledge, skills and attitudes, incorporating ethical action, to improve the health and well-being of patients & other Clients.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

CategoryCodeCourseHours/WeekCr'sCASEETotal
LTP
Core22CBPT001TPsychology - Theory50054060100
Core22CBPT002TSociology - Theory50054060100
Core22CBPT003TAnatomy – I – Theory50054060100
22CBPT003PAnatomy – I – Viva00214060100
Core22CBPT004TPhysiology – I - Theory50054060100
22CBPT004PPhysiology – I - Viva00214060100
Elective22DBPT101DSE Elective – I - Theory20024060100
Total220424

View full course curriculum

 

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
B.P.T4 ½ Years (8 Semesters & 6 Months Internship)50% of marks in aggregate in Physics, Chemistry, Biology / Botany & ZoologyMerit based on percentage of marks secured in the qualifying examinations

Career Prospects

CAREER PROSPECTS

 

  • Lecture
  • Clinical researcher
  • Private practise
  • Physiotherapist in Multinational company as corporate physiotherapist
  • Physical fitness Advisor in Gym
  • Ergonomic expert in companies which involve manual labour and automated machines
  • Consultant Physiotherapist in hospitals, Multi – speciality centre, rehabilitation centre, Special schools,and old age home
  • Developmental therapist for special children
  • Health care support member in Oncology
  • Chief Physiotherapist in Private clinics

Alumni Testimonials

Fee structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
28,00024,00052,000

B.E. Mechanical Engineering

Programme Outcomes

PROGRAM OUTCOME (PO)

PEO 1: To impart fundamentals of Engineering and Technology and applied Mathematics to

transform the students as Mechanical Engineers.

 

PEO 2: To nurture design, analysis and implementation skills to innovate the process or

system in Mechanical Engineering with global context.

 

PEO 3: To imbibe Mechanical Engineering related technical and aptitude skills to offer best

solution to industrial and societal problems.

 

PEO 4: To initiate the entrepreneurial activities and leadership qualities of the students

through the effective communication skills.

 

PEO 5: To develop the awareness among the students about the various social

responsibilities related to Engineering ethics and human values with ecological

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 190

Hour / WeekMaximum Marks
CategoryCodeTitle of the CourseLectureTutorialPracticalCreditsCASEETotal
SEMESTER – I
CC21EMR001Mathematics – I30024060100
CC21EMR002Electrical Engineering
Basics
20034060100
CC21EMR003Engineering Drawing 30034060100
AECC21EMR201Technical English 30024060100
AECC21EMR202Workshop Technology 30024060100
AECC21EMR203Engineering Mechanics 40034060100
AECC21EMR204Applied Mechanics Lab 00214060100
DSE21EMR101Electrical Engineering
Basic Lab
00324060100
SEC21EMR251Computer Science 10014060100
SEC21EMR252Basic Workshop 1 00664060100
TOTAL1901124

 

View full course curriculum

Eligibility Criteria

ProgramEligibilityCriteria for Merit
B.E. Mechanical EngineeringThe candidate who passess the degree in Science (B.Sc (10+2+3 stream with Mathematics as a subject at the B.Sc Level are eligible to apply for Lateral Entry admission to the third semester of B.E., / B.Tech.s Such candidate shall undergo two additional Engineering subjects(s) in the third and fourth semesters as prescribed by the UniversityMerit Based on Vels Entrance Examination Score and Merit Based on Percentage of marks secured in the qualifying examination.

Career Prospects

CAREER PROSPECTS

 

  • Quality controller
  • Medical Scientist
  • Clinical Technician
  • Microbiologist
  • Process Development Scientist
  • Biopharma Sales Representative
  • Biotechnological Technician
  • Epidemiologist
  • Microbiologist
  • Medical and Clinical Lab Technologist
  • Biomanufacturing Specialist
  • Bioproduction Specialist
  • Medical Coder
  • Environmental Technician

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem) Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
32,00028,00060,000

Certificate course in Front Office Operation

Course Outcomes

Course Outcomes


CO1:Handle front office equipment.


CO2: Manage the guest during check in and check out.


CO3: Register and reserve guest at hotel front office.


CO4: Operate property management systems.


CO5: Implement hotel safety and security procedures.


CO6: Maintain quality guest service.

Curriculum & Syllabus

Eligibility Criteria

[table “” not found /]

Career Prospects

CAREER PROSPECTS

 

  • Front office assistants in Hotels.
  • Supervisors in residential apartments.
  • Hospital administration
  • Receptionists in various MNCs.
  • Reservation and reception services at Forest Lodges, Guest Houses, and resorts.
  • Self-employment (as an entrepreneur)

Alumni Testimonials

Fee Structure

Tuition Fee per yearAdministration FeeRegistration FeeMisc.
(per sem)
Skill Enhancement Fee
(per year)
Exam Fee
(Per Sem)
At the time of admission
Even Sem
Odd Sem
20,0004,6502,650
3001500
19,100
10,300
11,800

School of Ancient Indian Stuides

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
5,000
2,600
7,600

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

[table “145” not found /]

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.A Astrology2 Years (4 Semesters)Pass in UG with Specialization in Astrology.Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
13,000 6,000 19,000

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
7,5007,00014,500

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
3,750
3,600
7,350

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
6,000 4,00010,000

Programme Outcomes

Curriculum & Syllabus

Programme Outcomes

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
2,500
3,600
6,100

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee per yearOther Fee (Per Sem)
Total Fee (Per Sem)
3,750
5,000
8,750

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
PG Diploma in Yoga Therapy - 1 Year1 Year (2 Semesters)Pass in (10+2) & any degree or any equivalent examination.Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
6,000 4,00010,000

Program Outcomes

Eligibility Criteria

Career Prospects

Fees Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
6,000 4,00010,000

Curriculum & Syllabus

Fee Structure

M.A. Astrology

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.A Astrology2 Years (4 Semesters)Pass in UG with Specialization in Astrology.Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
13,000 6,000 19,000

M.Sc. Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
7,5007,00014,500

PG Diploma in Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
3,750
3,600
7,350

Diploma in Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
6,000 4,00010,000

Certificate Course in Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
2,500
3,600
6,100

Certificate Course in Astrology

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee per yearOther Fee (Per Sem)
Total Fee (Per Sem)
3,750
5,000
8,750

Dilopma in yoga Therapy - 1 Year

Program Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Fees Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
6,000 4,00010,000

PG Diploma in Yoga Therapy

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
PG Diploma in Yoga Therapy - 1 Year1 Year (2 Semesters)Pass in (10+2) & any degree or any equivalent examination.Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
6,000 4,00010,000

B.Sc. Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
5,000
2,600
7,600

B.A. Astrology

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

[table “145” not found /]

M.Sc. Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
7,5007,00014,500

PG Diploma in Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
3,750
3,600
7,350

Diploma in Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
6,000 4,00010,000

Certificate Course in Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
2,500
3,600
6,100

Certificate Course in Astrology

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee per yearOther Fee (Per Sem)
Total Fee (Per Sem)
3,750
5,000
8,750

Dilopma in yoga Therapy - 1 Year

Program Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Fees Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
6,000 4,00010,000

PG Diploma in Yoga Therapy

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
PG Diploma in Yoga Therapy - 1 Year1 Year (2 Semesters)Pass in (10+2) & any degree or any equivalent examination.Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
6,000 4,00010,000

B.Sc. Yoga

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)
Other Fee (Per Sem)
Total Fee (Per Sem)
5,000
2,600
7,600

B.A. Astrology

Programme Outcomes

Curriculum & Syllabus

Eligibility Criteria

Career Prospects

Alumni Testimonials

Fee Structure

[table “145” not found /]