B.Tech IT (Cloud and Mobile Based Application Development) in Association with IBM (NBA Accreditated)

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.

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

Category	Course Title	Lecture	Tutorial	Practical	Credits	CA	SEE	Total
SEMESTER 1
BSC	Engineering Chemistry	3	-	-	3	40	60	100
BSC	Mathematics I(Calculus and Linear Algebra)	3	1	-	4	40	60	100
PCC	Software Foundation and Programming I	3	-	-	3	40	60	100
ESC	Basics of Civil and Mechanical Engineering	3	-	-	3	40	60	100
ESC (Blended)	Workshop and Manufacturing Practices	1	-	4	3	40	60	100
BSC	Chemistry Laboratory	-	-	2	1	40	60	100
PCC (Practical)	Software Foundation and Programming I Laboratory	-	-	2	1	40	60	100
MC	Student Induction Program	-	-	-	-	-	-	-
MC	Universal Human Values	2	-	-	-			100
		15	1	8	18

View full course curricm

Eligibility Criteria

Program	Criteria for Merit	Eligibility	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

My four years at VISTAS was a great experience to cherish for lifetime. It was full of learning and grooming oneself. It gave me an opportunity to meet different kind of people and learned many things. I am thankful to all the faculties, mentors for guiding me.

Sriram Devendran (B.Tech IT), 2016- 2020

Associate Consultant, Atos Synte

What I can say? These are wonderful days I met. Ofcourse, this will be a right place those who really want to shine. The Faculty members in my department are very supportive and encouraged me in every aspect. The curricular and cocurricular events held in my institution helped me to grow my confidence level.

Joshna B (B.Tech IT), 2017- 2021

Developer, NammaCart Solutions

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)	Other Fee (Per Sem)	Total Fee 2024 - 2025 (Per Sem)
65,000	44,000	1,09,000

Faculty of the Department

S.No	NAME OF THE FACULTY	DESIGNATION	EDUCATIONAL QUALIFICATION	AREA OF SPECIALIZATION	EXPERIENCE IN YEARS	Vidwan ID
1	Dr.Arun.S	Professor	M.E, Ph.D	Artificial intelligence, Human computer interaction, Vision System, Biosignal Processing	18	258568
2	Dr.Anandan.R	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
3	Dr.Kumar.N	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
4	Dr.Rajesh.A	Professor	M.Tech., Ph.D	Network Security	16.8	232499
5	Dr.Kalaivani.K	Associate Professor	M.E.,Ph.D	Image Processing, Data Analytics, Artificial Intelligence	17	233987
6	Dr.Ulaga Priya.K	Associate Professor	M.E, Ph.D	Machine learning, data science, software Engineering	22	232452
7	Dr.S.Meera	Associate Professor	M.E, Ph.D	Big data, image processing, computer networks, cloud computing, IoT	23	315114
8	Dr.Manikandan.A	Associate Professor	M.E,Ph.D	Computer Networks, Cloud Computing, IoT, Image Processing, AI & Machine Learning, Data Science	10.5	234022
9	Dr.Packialatha.A	Associate Professor	M.E, Ph.D	Pattern Recognition,Cloud Computing,Knowledge Engineering,Neural Networks, Big Data Analytics,Deep learning	21	253610
10	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
11	Dr.R.Pari	Associate Professor	M.Tech., Ph.D
12	Dr.R.Balakrishna	Associate Professor	M.E, Ph.D
13	Dr.Saritha.A	Assistant Professor	M.E.,Ph.D
14	Dr..Sheela Gowr.P	Assistant Professor	M.E, Ph.D	Image Processing, Cloud Computing, IoT, AI & Machine Learning, Data Science	13.9	234045
15	Dr.Thirumal.S	Assistant Professor	M.E (SE), Ph.D.,	Computer Networks, Cloud Computing, IoT, Image Processing, AI & Machine Learning, Data Science	11.5	32474
16	Dr. Banushri.A	Assistant Professor	M.Tech.,Ph.D.,	Cloud Computing, Blockchain Technology, Computer Networks, Network Security	13	237876
17	Ms. Parvadha Vardhini	Assistant Professor	ME.,(Ph.D.)	Image Processing, Computer Networks, Deep Learning	9.6	232483
18	Ms.Deepa.R	Assistant Professor	M.E.,	Deep Learning /Machine Learning, Data Analytics	9	253738
19	Ms.Vijitha.S	Assistant Professor	M.E.,	Block Chain Technology, Networks,Big Data security, Machine learning	6	253591
20	Ms.S.Sethu	Assistant Professor	M.E.,	Computer Networks,Network Security, Deep learning	5	469629
21	Dr.G.Revathy	Assistant Professor	M.E., Ph.D.,	Cybersecurity, Machine Learning, Deep learning, NLP	5	475353
22	Ms.P.Mohana Priya	Assistant Professor	M.E.,	Deep Learning, Machine learning,Image processing	3	484305
23	Dr.P.Thilakavathy	Assistant Professor	ME., Ph.D.,	Image processing, machine learning, IoT	9	470493
24	Ms.M.Bhanumathi	Assistant Professor	M.E.,	Deep Learning, Machine Learning	17	315834
25	Ms.P.V.Hemavathi	Assistant Professor	M.E.,	Deep Learning, Medical Image Processing	8.5	464234
26	Ms.R.Arthi	Assistant Professor	M.E.,MBA,(Ph.D.)
27	Mr.N.Udaya Kumar	Assistant Professor	M.E., (Ph.D.)	Computer Networks, Network Security, Cyber Security, Malware Anaysis	8.6	468408
28	Ms.S.M.Sowmiya	Assistant Professor	M.E.,	Artificial Intelligence, Cloud Computing	7.5	469822
29	Ms.S.J.Kavitha	Assistant Professor	M.E.,	Cloud Computing, IoT, Deep Learning	3.7	469822
30	Ms.Divya Bairavi	Assistant Professor	M.E.,	Artificial intelligence and machine learning	7	468931
31	Ms.R.Kalpana	Assistant Professor	M.E.,	Blockchain technology , Cryptography, Networks	16	467969
32	Ms.N.Kavitha	Assistant Professor	M.E.,	Deep Learning, Medical Image Processing	1.8	279169
33	Ms.V.Bharathi	Assistant Professor	M.E.,	Image processing, Network security, artificial intelligence and machine learning	10.5	468960
34	Mr.D.Manikandan	Assistant Professor	M.E, NET, (Ph.D)
35	Mr.S.Varadharajan	Assistant Professor	M.TECH
36	Ms.S.Sathea Sree	Assistant Professor	M.E, (Ph.D)
37	Ms.B.Yamini	Assistant Professor	M.TECH
38	Ms.S.Gayathri Devi	Assistant Professor	M.TECH
39	Ms.F.Benasir Begam	Assistant Professor	M.E.,
40	Ms.A.Agalya	Assistant Professor	M.E.,
41	Ms.Saranya.S	Assistant Professor	M.E.,	Computer networks	0.7	467688
42	Ms.Jegathambal.P.M.G	Assistant Professor	M.E.,
43	Ms.Meenakshi.N	Assistant Professor	M.Tech