MCA(Working Professionals)

Home / MCA(Working Professionals)

Vision

Our Vision is to be a center of excellence in IT education, training and research, aiming to wards carrying out advanced research and development in information and software technologies, and in leveraging IT in specific domain areas enabling students to become innovators and entrepreneurs.

Mission

To be a department of excellence in technical education, widely known for the development of competent and socially responsible IT professionals, entrepreneurs and researchers.
To promote professionals with knowledge and understanding, by providing them with latest developments in Computer Applications so that they contribute not only to the progress of software and its applications but even encompass the entire domain of computer technology.
To impart quality education for long lasting development and opportunity in an extensive career
in the various fields of Computer science/ Information Technology.
To increase innovative learning to the needs of Industry and Society
To be the source of bringing out globally competent pioneering computing professionals,
researchers, innovators and entrepreneurs.

Programme Educational Objectives (PEOs)

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

PEO1: To learn the formal and real time applications using the computer programming and the design principle.

PEO2: To experience their software skills with their creative design, develop team culture and to have effective communication in their work.

PEO3: To empower and inculcate entrepreneurship and managerial skills among the students in finding innovative solutions to the real-world problems in collaboration with industry and professional societies.

PEO4: Students exhibit effective work ethics and be able to adapt to the challenges of a dynamic job environment and publish their research finding in indexed conferences and Journals

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

PROGRAM OUTCOME (PO)

PO1: Computational Knowledge: Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems
and requirements.

PO2:Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching Substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

PO3: Design /Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate 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 Computing 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, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.

PO6: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.

PO7: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual Development as a computing professional.

PO8: Project management and finance: Demonstrate knowledge and understanding of the computing 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.

PO9: Communication Efficacy: Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.

PO10: Societal and Environmental Concern: Understand and assess societal, environmental, health, safety, legal, and cultural
issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.

PROGRAMME SPECIFIC OUTCOME (PSO)

PSO1: Be well versed in the various software and logical skills like Java Programming, Python Programming, Database concepts etc.

PSO2: Be competent in the fundamentals of software and hardware concepts and the emerging technologies in networks, recent trends in computer science field.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 90

Code No.	Code No.	Course		Hours/Week
			Lecture	Tutorial	Practical	Credits
CORE	2CMCA11	Mathematical Foundations of Computer Science	4	1	0	5
CORE	22CMCA12	C Programming and Data Structures	4	1	0	5
CORE	22CMCA13	Relational Database Systems	4	0	0	4
CORE	22CMCA14	Operating Systems	3	0	0	3
CORE	22CMCA15	Software Engineering	3	0	0	3
SEC		Soft skill/Personality Development	2	0	0	2
CORE	22PMCA11	C Programming and Data Structures Laboratory	0	0	4	2
CORE	22PMCA12	Relational Database Systems Laboratory	0	0	4	2
			20	2	8	26

View full course curriculum

Eligibility Criteria

Program	Program Duration (Year)	Eligibility	Criteria for Merit
MCA - 2 years	2 Years (4 Semesters)	BCA / Bachelor’s Degree in Computer Science Engineering or Equivalent degree (or) B.Sc. / B.Com. / B.A./ B.B.A with Mathematics at +2 Level or at Graduation Level (with additional bridge Course as per the norms of the concerned University)	Merit based on Vels Entrance examination score and Merit based on percentage of marks secured in the qualifying examination

Career Prospects

CAREER PROSPECTS

Software Developer
Database Engineer
Web Designer
Cloud Architect
Data Scientist

Data Analyst
Chief Information Officer
Computer Programmer
Computer Scientist

Computer Systems Analyst
Database Administration
Information Systems Manager
Web Developer

Alumni Testimonials

I would describe the Vels University as exciting and dynamic. The best thing about being a student here is the number of additional opportunities that are available. I was initially attracted here by the college’s reputation, and my career goals. The best thing about the degree is having the freedom to think of an idea and test its practical application. I feel extremely lucky to be in an environment that allows me to conduct projects on what interests me the most, so in all my time here I have felt grateful.

Mr. Vignesh.T (MCA), 2018-2020

Software Engineer ,ADF Data Science.

Fee Structure

Tuition Fee 2023 - 2024 (Per Sem)	Other Fee (Per Sem)	Total Fee (Per Sem)
40,000	33,000	73,000

Faculty of the Department

S.NO.	Name of the employee	Educational Qualification	Area of Specialization	Total Teaching experience	Designation	No. of Publication	Vidwan ID
1	Dr.Magesh Kumar	MCA ., Ph.D	Image Processing	25 Years	Director
2	Dr.Priya Anand.R	MCA., M.Phil.,Ph.D.,	Data Mining, Information Security , Big Data	23 years 6 months	Professor and Head	75	234291
3	Dr.Prasanna.S	MCA., M.Phil.,Ph.D.,	Image Processing & Operating System	23 Years 3months	Professor	75	232536
4	Dr.Jayalakshmi.V	MCA., M.Phil., NET., SET., Ph.D.	Wireless Network, Image Processing & Data Mining and Big Data	23 years	Professor	70
5	Dr.Sumalatha.V	MCA.,M.Phil(CS)., Ph.D.,SET.	Machine Learning , Cloud computing, Data Science, Image Processing	17 years 1 month	Associate Professor	41	234081
6	Dr.Meenakshi.C	M.C.A., M.Phil., Ph.D.,	Artificial Intelligence - NLP, ML	18 years 1month	Associate Professor	35	182243
7	Dr.Mahalakshmi.R	M.C.A., M.Phil., Ph.D.,	Data Science, AI, ML, Deep Learning	20years 5 months	Associate Professor	8	468022
8	Dr.Nagasundaram.S	M.C.A., M.Phil., Ph.D.,	Cloud Computing, Software Engineering,	18 years 1 months	Assistant Professor	12	249872
9	Dr.Kavitha.P	M.C.A., M.Phil., B.Ed., NET., Ph.D	Image Processing , Machine Learning	10 years 7 months	Assistant Professor	12	251133
10	Dr.Lipsa Nayak	MCA., M.Phil., Ph.D	Big Data, Cloud Computing	1 year 5 months	Assistant Professor	10	467976
11	Dr.Krithika.D.R	MCA.,M.Phil.,Ph.D	Big Data Analytics, Data Science, AI, ML, Data Mining	1 year 5 months	Assistant Professor	14	431400
12	Dr.Poongodi.A	MCA., M.Phil., Ph.D	Data Mining	21 years 4 month	Assistant Professor	9	431315
13	Ms.Anu Priya.S	MCA., P.Phil.,M.Tech., (Ph.D.)	Data Mining , Machine Learning, Big Data	13 years 2 months	Assistant Professor	8	470314
14	Dr.Jayamangala.H	MCA., CS.,Ph.D	Data Science, ML	12 years 4 months	Assistant Professor	6	467973