The Master of Computer Applications (MCA) programme is designed in accordance with the National Education Policy (NEP) 2020 and follows a Choice Based Credit System (CBCS), Grading System, and Outcome Based Education (OBE) framework. The programme is designed to develop competent, responsible, and industry-ready computing professionals with strong technical knowledge, problem-solving abilities, analytical thinking, innovation, ethical values, and lifelong learning orientation.
 

The curriculum follows a learner-centric, multidisciplinary, and outcome-based approach that integrates fundamental and advanced computing concepts with practical learning, skill development, research, industry exposure, experiential learning, project-based learning, and emerging technology education. The programme equips students with competencies in diverse domains including Software Development, Data Science and Analytics, Artificial Intelligence and Machine Learning, Cloud Computing, Cyber Security, Web and Mobile Application Development, Database Management, and emerging digital technologies. The MCA programme prepares students to pursue careers in the IT industry, software development, technology-driven organizations, research and innovation, entrepreneurship, and higher education.
 

The curriculum includes:

• Major Core

• Research Methodology

• Major Electives

• Skill Enhancement Courses

• Soft Skills

• Vocational & Skill Enhancement Course

• Research Project

• On-Job Training

• MOOC Certifications
   

The MCA programme is structured over 2 years and 4 semesters. Students complete the prescribed 91 credits for the award of the Master of Computer Applications (MCA) degree.

 

Credit Distribution

Semester-wise Credit Distribution

• Semester I – 23 Credits

• Semester II – 26 Credits

• Semester III – 24 Credits

• Semester IV – 18 Credits

• Total – 91 Credits

The MCA degree is awarded upon successful completion of the prescribed 91 credits.

 

List of Subjects Offered:

Semester-I

• Python Programming

• Software Engineering and Project Management

• Data Structure and Algorithm

• Research Methodology

• Elective-I

• Web Technologies

• Fundamental of Cloud Computing

• Introduction to Data Science

• Lab Course on Python Programming and Data Structure

• Lab Course on Elective-I

• Mini Project

• IT Business Communication Skills

• Indian Knowledge System-I

Semester I carries 23 credits.
 

Semester-II

• Java Programming

• Advanced DBMS

• Business Statistics

• Software Testing and Quality Assurance

• Elective-II

• Advance web Development

• Cloud Computing and Management Security

• Artificial Intelligence & Machine Learning

• Elective-III

• Internet of Things

• Digital Image Processing

• Natural Language Processing

• Lab Course on Java Programming and DBMS

• Lab Course on Elective- II

• Mini Project

• Research Writing and Presentation Skills

• Indian Knowledge System-II

Semester II carries 26 credits.

 

The MCA curriculum integrates research, experiential learning, industry exposure, project-based learning, technical skill development, digital learning, emerging technologies, and multidisciplinary computing education to prepare learners for professional careers in the IT industry, software development, technology-driven entrepreneurship, research and innovation, leadership roles, and lifelong learning.