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B.Tech CSE in (Artificial Intelligence and Data Science) *

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, extra-curricular and extension activities.
  • To inculcate innovation and creativity through practically viable Internships and Project works.
  • To create a research oriented mindset and focus in fulfilling growing demands of the society through mentoring and lifelong learning.

Programme Educational Objectives (PEOs)

PROGRAM EDUCATIONAL OBJECTIVES (PEOs) 

PEO1: Graduates will be engineering practitioners and leaders who will contribute to the solution of industry’s technological problems. 

PEO2: Graduates will be engineering professionals, innovators, or entrepreneurs working in industry on technology development, deployment, or engineering system implementation.

PEO3: Graduates will perform their jobs with social awareness and responsibility. 

PEO4: Graduates will interact with their peers in other disciplines in industry and society, contributing to the country’s economic growth.

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

Program Outcomes (PO)

PO1: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the conceptualization of engineering models.

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

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

PO4: Conduct investigations of complex problems including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.

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

PO6: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

PO7: 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 clear instructions.

PO8: Demonstrate understanding of the societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to engineering practice.

PO9: Understand and commit to professional ethics and responsibilities and norms of engineering practice.

PO10: Understand the impact of engineering solutions in a societal context and demonstrate knowledge of and need for sustainable development.

PO11: Demonstrate a knowledge and understanding of management and business practices, such as risk and change management, and understand their limitations.

PO12: Recognize the need for, and have the ability to engage in independent and life-long learning.

PROGRAMME SPECIFIC OUTCOMES (PSO) 

PSO 1: Apply database design principles and techniques to improve decisionsupport systems for business analytics.

PSO 2: Design and apply appropriate data analytics models for data profiling and to enrich software standards.

Curriculum & Syllabus 2021

Curriculum & Syllabus

(Minimum credits to be EARNED: 170)

CategoryCourse TitleLectureTutorialPracticalCreditsCASEETotal
BSCChemistry31-44060100
BSCMathematics I (Calculus and Linear Algebra)31-44060100
ESCProgramming for Problem Solving3--34060100
BSCChemistry Laboratory--424060100
ESCProgramming for Problem Solving Laboratory--424060100
ESCWorkshop and Manufacturing Practices1-434060100
1021218

View Full Curriculum

Curriculum & Syllabus 2022

Curriculum & Syllabus

(Minimum credits to be EARNED: 170)

CategoryCourse TitleLectureTutorialPracticalCreditsCASEETotal
BSCChemistry31-44060100
BSCMathematics I (Calculus and Linear Algebra)31-44060100
ESCProgramming for Problem Solving3--34060100
BSCChemistry Laboratory--424060100
ESCProgramming for Problem Solving Laboratory--424060100
ESCWorkshop and Manufacturing Practices1-434060100
MCUniversal Human Values2--0100
1221218

View Full Curriculum

Eligibility Criteria

ProgramProgram Duration (Year)
Eligibility
Criteria for Merit
B.Tech Computer Science and Engineering (Artificial Intelligence & Data Science)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

  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Data Journalist
  • Data Visualization
  • Specialist
  • Database Admin
  • Financial Analyst
  • Business Analyst
  • Product Analyst
  • Functional Analyst
  • Business Intelligence
  • Analyst
  • Marketing Analyst
  • Quantitative Analyst
  • Data System Developer

 

Fees structure

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

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 ProfessorNetwork Security20 Years567880
20Ms.P.MohanaPriyaAssistant ProfessorM.E.,
Machine Learning, Deep Learning4 Years, 2 Months562132
21Ms.ParvathavarthiniAssistant ProfessorME.,(Ph.D.)
Computer Networks, Image Processing, Deep Learning10 Years232483
22Mrs.R.DeepaAssistant ProfessorM.E.,Artificial Intelligence, Computer Networks,Deep Learning13 Years253738
23Mrs.S.VijithaAssistant ProfessorM.E.,Block chain technology, Computer Networks, Cloud Computing,Big data security7 Years, 2 Months253591
24Mrs.S.SethuAssistant ProfessorM.E.,
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.,Machine Learning, Deep Learning18 Years467915
27Mrs.P.V.HemavathiAssistant ProfessorM.E.,Deep Learning,Image processing8 Years 7 months468408
28Ms.Sowmiya.S.MAssistant ProfessorM.E.,Cloud Computing, Artificial Intelligence8 Years, 6 Months464234
29Ms.Kavitha.S.JAssistant ProfessorM.E.,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.,Cryptography and network security,Blockchain17 Years 2 months467969
33Ms.Kavitha.NAssistant ProfessorM.E.,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.TECHArtificial Intelligence and Data science,Image processing16 Years, 2 Months561910
36Mr.S.VaradharajanAssistant ProfessorM.TECHFull 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, NET, (Ph.D)Block Chain, Machine Learning, Artificial Intelligence, Social Metwork 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.TechArtificial Intelligence, Machine Learning3 Years, 6 Months562402