Master of Computer Applications

The MCA Programme started in the year 2001 with an in-take of 60 students. It has dedicated and specialized faculty members in different areas of Computer Applications with rich experience in academics, industry and research. The department has well equipped and spacious laboratories with modern computer equipments.


To excel in the field of Computer Applications, to meet the emerging needs of the industry, society and beyond.


M1: Quality Education : To build technologically competent individuals for industry and entrepreneurial ventures by providing infrastructure and human resources.

M2: Analytical Skill : To impart need based education to meet the requirements of the industry and society.

M3: Research and Development : To prepare students for higher education and research oriented activities.

PEO 1 : Excel in professional career and/or higher education by acquiring knowledge in mathematical, computing and engineering principles.

PEO 2 : Analyze real life problems, design computing systems appropriate to its solutions that are technically sound, economically feasible and socially acceptable.

PEO 3 : Exhibit professionalism, ethical attitude, communication skills, team work in their profession and adapt to current trends by engaging in life long learning.

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. 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 clear instructions.
11. 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.
12. 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.

I . Ability to design and develop computing systems using concepts of Mathematics, Computer Engineering and other related disciplines to meet customers’ business objectives.
II . Ability to test and analyze the quality of various subsystems and to integrate them in order to evolve a larger computing system.
III . Be acquainted with the contemporary issues, latest trends in technological development and thereby innovate new ideas and solutions to existing problems.


2 years

No. of Semesters:

4 Semesters


A pass in a recognized Bachelor´s degree of minimum 3 years duration (B.Sc- CS, B.Sc-IT & BCA)

Curriculum & Syllabus:

2017 Regulation

Scope for Higher Studies:

  • M.Phil & Ph.D.


Short-Term &
Value-Added Courses Organized
Seminars, Conferences
Workshops Organized