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Master of Computer Applications


The programme stands as a pinnacle of academic excellence, meticulously designed to meet and exceed the dynamic standards set by the industry. This programme provides students with a robust foundation in mathematics, fostering algorithmic thinking, and honing problem-solving skills through the lens of cutting-edge technology. The overarching goal is to empower students with a skill set that transcends traditional boundaries, allowing them to thrive in a rapidly evolving professional landscape.

Offering a curated selection of specializations, the programme enables students to tailor their academic journey to align with their passions and career aspirations. The choices include Large Language Models, Data Science, and theoretical computer science, with the added flexibility of incorporating electives from various schools, providing a well-rounded and interdisciplinary education. At the heart of our program lies a distinctive pedagogical approach, emphasizing project-based learning from Industry Leaders, ensuring that students not only grasp theoretical concepts but also gain practical insights that are crucial for success in their chosen fields.

A standout feature of this programme is the opportunity for students to delve deeper into their chosen areas of interest. With the option to specialize in streams such as Generative AI, Theoretical Computer Science, or Data Science, students can tailor their learning experience to align with their unique interests and career goals. Furthermore, starting from the 3rd semester, we encourage and facilitate a research track for students keen on contributing to the ever-expanding frontiers of knowledge.


Two Years / Four Semesters

Commence of the course

Course Duration

Two Years

Mode of Study


Passed BCA/ Bachelor Degree in Computer Science Engineering or equivalent Degree or passed B.Sc./ B. Com./ B.A. with Mathematics at l0+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University).

Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.


Generative AI
General MCA
Game Development
Data Science

Key Features

Advanced problem-solving and programming skills.

In-depth domain knowledge.

Effective communication and presentation proficiency.

Algorithmic expertise and proof of concept development across diverse technological domains.

Knowledge creation and innovation.

Societal problem-solving with technology.

Contribution to sustainable development goals (SDGs).

Programme Structure

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