Vision
To be a center of excellence in IT education, training, and research, aiming towards carrying out advanced research and development in information and software technologies, and in leveraging IT in specific domain areas, enabling students to become innovators, researchers, developers, and entrepreneurs.
Mission
- Nurturing competent professionals with a deep understanding of emerging technologies across the entire spectrum of Information Technology.
- Providing quality education that empowers learners to build successful careers in Computer Science and fulfills the dynamic needs of the industry.
- Seeking excellence in technical education by preparing skilled and innovative entrepreneurs and researchers
- Encouraging the development of successful, ethical, and adaptable individuals who are effective problem-solvers and lifelong learners, dedicated to contribute towards society.
Regulation
Programme Educational Objectives (PEOs)
PROGRAM EDUCATIONAL OBJECTIVES (PEO)
PEO1: To apply computing skills to analyze, design, and develop innovative software products to meet the industry needs and excel as software professionals.
PEO2: To communicate and function effectively in teams across multidisciplinary fields within the global, societal, and environmental contexts.
PEO3: To exhibit professional integrity, ethics, and an understanding of responsibility to contribute technical solutions for the sustainable development of society.
PEO4: To pursue lifelong learning and do research in the computing field based on solid technical foundations.
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, such as 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 the computer science field.
Curriculum & Syllabus 2025
CURRICULUM & SYLLABUS
MINIMUM CREDITS TO BE EARNED: 90
| Hours/Week | Maximum Marks | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Category | Code | Course | L | T | P | O | C | CIA | ESE | Total |
| CC | 25CMCA11 | Mathematical Foundations of Computer Science | 4 | 1 | 0 | 2 | 4 | 40 | 60 | 100 |
| CC | 25CMCA12 | Problem Solving Techniques through C Programing | 4 | 1 | 0 | 2 | 4 | 40 | 60 | 100 |
| CC | 25CMCA13 | Operating System with Unix Architecture & Programming | 3 | 1 | 0 | 2 | 3 | 40 | 60 | 100 |
| CC | 25CMCA14 | Software Engineering Methodology | 3 | 0 | 0 | 2 | 3 | 40 | 60 | 100 |
| CC | 25CMCA15 | Advanced Database Systems | 3 | 0 | 0 | 2 | 3 | 40 | 60 | 100 |
| CC | 25CMCA16 | Data Communication and Computer Networks | 3 | 0 | 0 | 2 | 3 | 40 | 60 | 100 |
| Audit Course – 1 * | 2 | 0 | 0 | 0 | 0 | - | - | - | ||
| SEC | 25PMCA11 | Communication Skill and Personality Development Lab | 0 | 0 | 2 | 2 | 2 | 40 | 60 | 100 |
| CC LAB | 25PMCA12 | C & Data Structures Laboratory | 0 | 0 | 4 | 2 | 2 | 40 | 60 | 100 |
| CC LAB | 25PMCA13 | RDBMS Laboratory | 0 | 0 | 4 | 2 | 2 | 40 | 60 | 100 |
| Total | 22 | 3 | 10 | - | 26 | - | - | - | ||
Curriculum & Syllabus 2024
CURRICULUM & SYLLABUS
MINIMUM CREDITS TO BE EARNED: 90
| Category | Code | Course | Hours/Week | Maximum Marks | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| L | T | P | O | C | CIA | SEE | Total | |||
| CC | 24CMCA11 | Mathematical Foundations of Computer Science | 4 | 1 | 0 | 2 | 5 | 40 | 60 | 100 |
| CC | 24CMCA12 | C Programming and Data Structures | 4 | 1 | 0 | 2 | 5 | 40 | 60 | 100 |
| CC | 24CMCA13 | Relational Database Systems | 4 | 1 | 0 | 2 | 4 | 40 | 60 | 100 |
| CC | 24CMCA14 | Operating Systems | 3 | 0 | 0 | 2 | 3 | 40 | 60 | 100 |
| CC | 24CMCA15 | Software Engineering | 3 | 0 | 0 | 2 | 3 | 40 | 60 | 100 |
| SEC | 24SSKU11 S | Soft skill - I | 2 | 0 | 0 | 2 | 2 | 40 | 60 | 100 |
| CC LAB | 24PMCA11 | C Programming and Data Structures Laboratory | 0 | 0 | 4 | 2 | 2 | 40 | 60 | 100 |
| CC LAB | 24PMCA12 | Relational Database Systems Laboratory | 0 | 0 | 4 | 2 | 2 | 40 | 60 | 100 |
| Total | 20 | 3 | 8 | - | 26 | - | - | - | ||
Curriculum & Syllabus
CURRICULUM & SYLLABUS
MINIMUM CREDITS TO BE EARNED: 90
| Code No. | Code No. | Course | Hours/Week | |||
|---|---|---|---|---|---|---|
| Lecture | Tutorial | Practical | Credits | |||
| CORE | 22CMCA11 | 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 - I | 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 |
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.
Innovations by the Faculty in Teaching and Learning
The Master of Computer Applications (MCA) Department continuously strives to enhance the quality of education by adopting innovative teaching and learning methodologies. Faculty members actively integrate modern pedagogical practices such as project-based learning, experiential learning, coding practice sessions, and ICT-enabled teaching tools to create a dynamic and student-centered learning environment. Real-time case studies, industry-oriented projects, and hands-on programming exercises enable students to apply theoretical concepts to practical situations, thereby strengthening their analytical and problem-solving abilities.
These innovative initiatives promote critical thinking, creativity, and collaborative learning among students while encouraging active participation in the learning process. By continuously upgrading teaching strategies and incorporating emerging technologies, the department ensures that students acquire industry-relevant skills and remain well-prepared to meet the evolving demands of the IT industry.
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