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.

Curriculum & Syllabus

(Minimum credits to be EARNED: 170)

Category	Course Title	Lecture	Tutorial	Practical	Credits	CA	SEE	Total
BSC	Chemistry	3	1	-	4	40	60	100
BSC	Mathematics I (Calculus and Linear Algebra)	3	1	-	4	40	60	100
ESC	Programming for Problem Solving	3	-	-	3	40	60	100
BSC	Chemistry Laboratory	-	-	4	2	40	60	100
ESC	Programming for Problem Solving Laboratory	-	-	4	2	40	60	100
ESC	Workshop and Manufacturing Practices	1	-	4	3	40	60	100
		10	2	12	18

View Full Curriculum

Curriculum & Syllabus

(Minimum credits to be EARNED: 170)

Category	Course Title	Lecture	Tutorial	Practical	Credits	CA	SEE	Total
BSC	Chemistry	3	1	-	4	40	60	100
BSC	Mathematics I (Calculus and Linear Algebra)	3	1	-	4	40	60	100
ESC	Programming for Problem Solving	3	-	-	3	40	60	100
BSC	Chemistry Laboratory	-	-	4	2	40	60	100
ESC	Programming for Problem Solving Laboratory	-	-	4	2	40	60	100
ESC	Workshop and Manufacturing Practices	1	-	4	3	40	60	100
MC	Universal Human Values	2	-	-	0			100
		12	2	12	18

View Full Curriculum

Program	Criteria for Merit	Eligibility	Criteria for Merit
B.Tech Computer Science and Engineering (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"

Tuition Fee 2024 - 2025 (Per Sem)	Other Fee (Per Sem)	Total Fee 2024 - 2025 (Per Sem)
58,000	41,000	99,000

S.No	NAME OF THE FACULTY	DESIGNATION	EDUCATIONAL QUALIFICATION	AREA OF SPECIALIZATION	EXPERIENCE IN YEARS	Vidwan ID	PHOTO
1	Dr.S.Arun	Professor & Director (IQAC)	M.E., Ph.D	Artificial intelligence, Human computer interaction, Vision System, Biosignal Processing	18	258568
2	Dr.K.Kalaivani	Associate Professor & Head	M.E., Ph.D	Image Processing, Data Analytics, Artificial Intelligence	17	233987
3	Dr. R.Anandan	Professor	M.E., Ph.D	Quantum Computing, Regenerative AI, AR- VR, Metaverse , Human Computer Interaction, Edge Computing, Computer Vision, Natural Language Processing, High Performance Computing	23	84899
4	Dr. N. Kumar	Professor	M.Tech., Ph.D	Computer Networks, Mobile and Wireless Ad hoc Networks, Software Defined Networks, Cloud Computing, IoT, Image Processing, AI & Machine Learning, Data Science	18	232473
5	Dr.A.Rajesh	Professor	M.Tech., Ph.D	Network Security	16.8	232499
6	Dr.A.Packialatha	Associate Professor	M.E., Ph.D	Pattern Recognition,Cloud Computing,Knowledge Engineering,Neural Networks, Big Data Analytics,Deep learning	21	253610
7	Dr.S.Meera	Assistant Professor	M.E., Ph.D	Big data, image processing, computer networks, cloud computing, IoT	23	315114
8	Dr.K.UlagaPriya	Assistant Professor	M.E., Ph.D	Machine learning, data science, software Engineering	22	232452
9	Dr.S.Sridevi	Associate Professor	M.E., Ph.D	Computer Networks,Wireless Sensor Networks, Artificial Intelligence,Machine Learning, Deep Learning, Data Science, Computer Vision,Network Security,Cyber Security,IoT	15.8	234016
10	Dr.A.Manikandan	Assistant Professor	M.E., Ph.D	Computer Networks, Cloud Computing, IoT, Image Processing, AI & Machine Learning, Data Science	10.5	234022
11	Dr.C.Swaraj Paul	Assistant Professor	M.E., Ph.D	Data Mining, Image Processing, IoT, Cloud Computing, sensors	10	485613
12	Dr.P.SheelaGowr	Assistant Professor	M.E., Ph.D	Image Processing, Cloud Computing, IoT, AI & Machine Learning, Data Science	13.9	234045
13	Dr.Banushri.A	Assistant Professor	M.Tech., Ph.D	Cloud Computing, Blockchain Technology, Computer Networks, Network Security	13	237876
14	Dr. S.Thirumal	Assistant Professor	M.E., Ph.D	Computer Networks, Cloud Computing, IoT, Image Processing, AI & Machine Learning, Data Science	11.5	32474
15	Dr.P.Thilakavathy	Assistant Professor	M.E., Ph.D	Image processing, machine learning, IoT	9	470493
16	Dr. G. Revathy	Assistant Professor	M.E., (Ph.D)	Cybersecurity, Machine Learning, Deep learning, NLP	5	475353
17	Dr. A.Saritha	Assistant Professor	M.E., (Ph.D)	Computer networks,cloud computing,Mobile Ad hoc networks,Machine learning	13	233992
18	Ms.Parvathavarthini.K	Assistant Professor	M.E., (Ph.D)	Image Processing, Computer Networks, Deep Learning	9.6	232483
19	Mr.C.Darwin	Assistant Professor	M.Tech	Grid Computing, Computer Networks, WSN, Cloud Computing	9	495008
20	Mr M.Franklin Singh	Assistant Professor	M.E.	Computer Networks, Embedded Systems, Sensors	5	495002
21	Mr Jegan Thomas	Assistant Professor	M.E.	Data Communication, Web Analytics, Digital Marketing	5	495006
22	Mr.K.Kalaiyamuthan	Assistant Professor	M.E.	Web Development	11.7	487389
23	Mrs.R.Deepa	Assistant Professor	M.E., (Ph.D)	Deep Learning /Machine Learning, Data Analytics	9	253738
24	Mrs.S.Vijitha	Assistant Professor	M.E., (Ph.D)	Block Chain Technology, Networks,Big Data security, Machine learning	6	253591
25	Mrs.S.Sethu	Assistant Professor	M.E., (Ph.D)	Computer Networks,Network Security, Deep learning	5	469629
26	Ms.Pavithra Jagadesan	Assistant Professor	M.E., (Ph.D)	Cyber security, machine learning	3	475337
27	Mrs. P. Mohana priya	Assistant Professor	M.E., (Ph.D)	Deep Learning, Machine learning,Image processing	3	484305
28	Mrs.M.Subbulakshmi	Assistant Professor	M.Tech.	Image Processing, Computer Networks.	2	487404
29	Mrs.M.Bhanumathi	Assistant Professor	M.E., (Ph.D)	Deep Learning, Machine Learning	17	315834
30	Mr.N.Udayakumar	Assistant Professor	M.E., (Ph.D)	Computer Networks, Network Security, Cyber Security, Malware Anaysis	8.6	468408
31	Mrs.P.V.Hemavathy	Assistant Professor	M.E., (Ph.D)	Deep Learning, Medical Image Processing	8.5	464234
32	Mrs.S.M.Sowmiya	Assistant Professor	M.E., (Ph.D)	Artificial Intelligence, Cloud Computing	7.5	469822
33	Mrs.S.J.Kavitha	Assistant Professor	M.E., (Ph.D)	Cloud Computing, IoT, Deep Learning	3.7	469822
34	Dr.S.Varshavardhini	Assistant Professor	M.E., Ph.D	Big Data, Data Mining , Machine Learning	0.6	467731
35	Mrs.S.Saranya	Assistant Professor	M.E	Computer networks	0.7	467688
36	Mrs.S.Divya Bairavi	Assistant Professor	M.E	Artificial intelligence and machine learning	7	468931
37	Mrs.R.Kalpana	Assistant Professor	M.E., (Ph.D)	Blockchain technology , Cryptography, Networks	16	467969
38	Mrs.N.Kavitha	Assistant Professor	M.E., (Ph.D)	Deep Learning, Medical Image Processing	1.8	279169
39	Mrs V.Bharathi	Assistant Professor	M.E	Image processing, Network security, artificial intelligence and machine learning	10.5	468960
40	Dr.KennethSundaraj (Adjunt)	Professor	M.E., Ph.D.	Image Processing, Networks.		-	-
41	Mr.SanjeevArumugam (Adjunt)	Assistant Professor	M.E.	Internet of Things		-	-
42	Dr.RM.Manikandan (Adjunt)	Associate Professor	M.E., Ph.D.	Computer Networks		-	-
43	Mr.Aswinkumar KC (Adjunt)	Assistant Professor	M.Tech.	Internet of Things		-	-
44	Mr.Surya S K (Adjunt)	Assistant Professor	M.E.	Internet of Things		-	-