MCA (AICTE Approved)

The Master of Computer Applications (MCA) programme is a professional postgraduate degree designed to equip students with advanced knowledge and practical skills in computer science, software development, and modern information technologies. The programme focuses on building strong technical expertise along with problem-solving, analytical thinking, and project management skills required in the rapidly evolving IT industry. The curriculum covers a wide range of subjects including programming languages, database management systems, software engineering, web technologies, mobile application development, cloud computing, artificial intelligence, data analytics, cybersecurity, networking, and machine learning. Students are also exposed to real-world projects, internships, seminars, and industry-oriented training to enhance practical learning and employability. The MCA programme aims to prepare graduates for diverse career opportunities in software companies, multinational corporations, startups, government organizations, educational institutions, and research sectors. Graduates can pursue careers as Software Developers, System Analysts, Web Developers, Data Analysts, Cybersecurity Specialists, Cloud Engineers, Database Administrators, IT Consultants, and Project Managers. With a strong academic foundation and industry-focused training, the programme enables students to adapt to emerging technologies and become competent professionals capable of contributing effectively to the digital world.

Candidates seeking admission to the MCA programme should have passed any recognized Bachelor’s Degree examination of minimum three years duration with Mathematics at 10+2 level or at graduation level. Applicants must have secured the minimum marks prescribed by the University/Government from time to time. Admission shall be subject to the rules and regulations of the University and the Government. Reservation policies and eligibility relaxations for eligible categories will be applicable as per prevailing norms.

Admissions to the MCA programme are conducted as per the norms prescribed by the Government of Kerala and the Controller of Entrance Examinations. • 50% of seats are allotted through the centralized allotment process conducted by LBS Centre/Government of Kerala based on the entrance examination. • The remaining 50% seats are filled by CPAS based on the merit list prepared from the marks obtained in the entrance examination conducted by the Government of Kerala. • Candidates must qualify the entrance examination and satisfy the eligibility conditions prescribed by the Government, University, and regulatory authorities from time to time. • Reservation policies and applicable relaxations for eligible categories shall be followed as per prevailing Government norms. • No additional fee is levied for admissions conducted under the CPAS merit quota.

Fee structure is as per Government and University norms. • Total Fee: ₹31390 (First Semester, at the time of admission) • Tuition Fee: ₹21,000 for second semester • Tuition Fee: ₹22990 for Third semester • Tuition Fee: ₹21,000 for Fourth semester • Additional special/university fees applicable as per University and Government norms Approximate total programme fee: ₹96380

Graduates of the MCA programme can pursue a wide range of career opportunities in the IT and software industry. The programme prepares students for roles such as Software Developer, Web Developer, Mobile Application Developer, System Analyst, Database Administrator, Network Administrator, Cybersecurity Specialist, Cloud Engineer, Data Analyst, UI/UX Developer, Software Tester, and IT Consultant. Students can find employment opportunities in software companies, multinational corporations, startups, financial institutions, educational organizations, government departments, research institutions, and technology service firms. The programme also provides a strong foundation for higher studies, research, entrepreneurship, and emerging technology domains including Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing.