New! ODL -DEB Proposal 2023-2024 New! Admission 2024-2025 Admissions - AHS Chat with a Student

B.Tech. Computer Science Engineering (NBA Accredited)


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.


  • 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)


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)


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.


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



CategoryCourse TitleLectureTutorialPracticalCreditsCASEETotal
BSCEngineering Chemistry3--34060100
BSCMathematics I(Calculus and Linear Algebra)31-44060100
ESCProgramming for Problem
ESCBasics of Civil and Mechanical Engineering3--34060100
ESCWorkshop and Manufacturing Practices1-434060100
BSCChemistry Laboratory--214060100
ESCProgramming for Problem Solving Laboratory--214060100
MCStudent Induction Program-------
MCUniversal Human Values2---100


View full course curriculum

Eligibility Criteria

ProgramProgram Duration (Year)
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.
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.
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.
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


  • 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

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)

Professional Activities

List of Events Organized by the Department From 2020 – Present

View more

Faculty of the Department

1Dr.S.ArunProfessor & Director (IQAC)M.E., Ph.DArtificial intelligence, Human computer interaction, Vision System, Biosignal Processing18258568
2Dr.K.KalaivaniAssociate Professor & HeadM.E., Ph.DImage Processing, Data Analytics, Artificial Intelligence17233987
3Dr. R.AnandanProfessorM.E., Ph.DQuantum Computing, Regenerative AI, AR- VR, Metaverse , Human Computer Interaction, Edge Computing, Computer Vision, Natural Language Processing, High Performance Computing2384899
4Dr. N. KumarProfessorM.Tech., Ph.DComputer Networks, Mobile and Wireless Ad hoc Networks, Software Defined Networks, Cloud Computing, IoT, Image Processing, AI & Machine Learning, Data Science18232473
5Dr.A.RajeshProfessorM.Tech., Ph.DNetwork Security16.8232499
6Dr.A.PackialathaAssociate ProfessorM.E., Ph.DPattern Recognition,Cloud Computing,Knowledge Engineering,Neural Networks, Big Data Analytics,Deep learning21253610
7Dr.S.MeeraAssociate ProfessorM.E., Ph.DBig data, image processing, computer networks, cloud computing, IoT23315114
8Dr.K.UlagaPriyaAssociate ProfessorM.E., Ph.DMachine learning, data science, software Engineering22232452
9Dr.S.SrideviAssociate ProfessorM.E., Ph.DComputer Networks,Wireless Sensor Networks, Artificial Intelligence,Machine Learning, Deep Learning, Data Science, Computer Vision,Network Security,Cyber Security,IoT15.8234016
10Dr.A.ManikandanAssistant ProfessorM.E., Ph.DComputer Networks, Cloud Computing, IoT, Image Processing, AI & Machine Learning, Data Science10.5234022
11Dr.C.Swaraj PaulAssistant ProfessorM.E., Ph.DData Mining, Image Processing, IoT, Cloud Computing, sensors10485613
12Dr.P.SheelaGowrAssistant ProfessorM.E., Ph.DImage Processing, Cloud Computing, IoT, AI & Machine Learning, Data Science13.9234045
13Dr.Banushri.AAssistant ProfessorM.Tech., Ph.DCloud Computing, Blockchain Technology, Computer Networks, Network Security13237876
14Dr. S.ThirumalAssistant ProfessorM.E., Ph.DComputer Networks, Cloud Computing, IoT, Image Processing, AI & Machine Learning, Data Science11.532474
15Dr.P.ThilakavathyAssistant ProfessorM.E., Ph.DImage processing, machine learning, IoT9470493
16Dr. G. RevathyAssistant ProfessorM.E., Ph.D.Cybersecurity, Machine Learning, Deep learning, NLP5475353
17Dr. A.SarithaAssistant ProfessorM.E., Ph.D.Computer networks,cloud computing,Mobile Ad hoc networks,Machine learning13233992
18Ms.Parvathavarthini.KAssistant ProfessorM.E., (Ph.D)Image Processing, Computer Networks, Deep Learning9.6232483
19Mr.C.DarwinAssistant ProfessorM.TechGrid Computing, Computer Networks, WSN, Cloud Computing9495008
20Mr M.Franklin SinghAssistant ProfessorM.E.Computer Networks, Embedded Systems, Sensors5495002
21Mr Jegan ThomasAssistant ProfessorM.E.Data Communication, Web Analytics, Digital Marketing5495006
22Mr.K.KalaiyamuthanAssistant ProfessorM.E.Web Development11.7487389
23Mrs.R.DeepaAssistant ProfessorM.E., (Ph.D)Deep Learning /Machine Learning, Data Analytics9253738
24Mrs.S.VijithaAssistant ProfessorM.E., (Ph.D)Block Chain Technology, Networks,Big Data security, Machine learning6253591
25Mrs.S.SethuAssistant ProfessorM.E., (Ph.D)Computer Networks,Network Security, Deep learning5469629
26Ms.Pavithra JagadesanAssistant ProfessorM.E., (Ph.D)Cyber security, machine learning3475337
27Mrs. P. Mohana priyaAssistant ProfessorM.E., (Ph.D)Deep Learning, Machine learning,Image processing3484305
28Mrs.M.SubbulakshmiAssistant ProfessorM.Tech.Image Processing, Computer Networks.2487404
29Mrs.M.BhanumathiAssistant ProfessorM.E., (Ph.D)Deep Learning, Machine Learning17315834
30Mr.N.UdayakumarAssistant ProfessorM.E., (Ph.D)Computer Networks, Network Security, Cyber Security, Malware Anaysis8.6468408
31Mrs.P.V.HemavathyAssistant ProfessorM.E., (Ph.D)Deep Learning, Medical Image Processing8.5464234
32Mrs.S.M.SowmiyaAssistant ProfessorM.E., (Ph.D)Artificial Intelligence, Cloud Computing7.5469822
33Mrs.S.J.KavithaAssistant ProfessorM.E., (Ph.D)Cloud Computing, IoT, Deep Learning3.7469822
34Dr.S.VarshavardhiniAssistant ProfessorM.E., Ph.DBig Data, Data Mining , Machine Learning0.6467731
35Mrs.S.SaranyaAssistant ProfessorM.EComputer networks0.7467688
36Mrs.S.Divya BairaviAssistant ProfessorM.EArtificial intelligence and machine learning7468931
37Mrs.R.KalpanaAssistant ProfessorM.E., (Ph.D)Blockchain technology , Cryptography, Networks16467969
38Mrs.N.KavithaAssistant ProfessorM.E., (Ph.D)Deep Learning, Medical Image Processing1.8279169
39Mrs V.BharathiAssistant ProfessorM.EImage processing, Network security, artificial intelligence and machine learning10.5468960
40Dr.KennethSundaraj (Adjunt)ProfessorM.E., Ph.D.Image Processing, Networks.--
41Mr.SanjeevArumugam (Adjunt)Assistant ProfessorM.E.Internet of Things--
42Dr.RM.Manikandan (Adjunt)Associate ProfessorM.E., Ph.D.Computer Networks--
43Mr.Aswinkumar KC (Adjunt)Assistant ProfessorM.Tech.Internet of Things--
44Mr.Surya S K (Adjunt)Assistant ProfessorM.E.Internet of Things--