The Master of Computer Applications (MCA) is a two-year (full-time) postgraduate program designed to equip students with advanced knowledge of computer science, software development, and IT management.
The curriculum focuses on programming, database management, cloud computing, artificial intelligence, cybersecurity, and web technologies. With a strong emphasis on practical learning, projects, and internships, MCA prepares students for dynamic careers in the IT and software industry. The program includes specialized subjects like AI & ML, Data Science, BlockChain, DevOps, and many more to cater the latest technological advancements. This program is ideal for those aspiring to build expertise in software engineering, system management, and emerging technologies. With placement assistance and industrial visits, MCA graduates enjoy excellent job prospects in the thriving tech ecosystem.
BCA
B.Sc. in IT / CS
BE/ B.Tech in IT or CS
B.Com with Statistics
The admission is based on merit.
A Master of Computer Applications (MCA) degree opens up a wide range of career opportunities in the rapidly growing IT industry. Graduates can work as software developers, data scientists, cloud engineers, cybersecurity analysts, and AI/ML specialists in top multinational companies and startups. With expertise in programming, database management, networking, and software engineering, MCA professionals are in high demand across various sectors, including banking, healthcare, e-commerce, and fintech. Many MCA graduates secure positions in leading IT firms with competitive salary packages.
Government organizations, research institutions, and public sector units (PSUs) also offer opportunities for MCA degree holders. Those interested in leadership roles can pursue IT project management, business analysis, or entrepreneurship. Further career growth is possible through certifications in cloud computing, AI, BlockChain, or DevOps, which enhance skills and job prospects. Some graduates opt for higher studies like Ph.D., M.Tech, or MBA in IT management to specialize further. Freelancing and remote work opportunities are also abundant, providing flexibility and global exposure. Overall, MCA graduates have diverse career paths, excellent job prospects, and opportunities for continuous growth in the ever-evolving tech industry.
The Master of Computer Applications (MCA) program stands out with its industry-aligned curriculum, focusing on the latest technologies like Artificial Intelligence, Machine Learning, Cybersecurity, Cloud Computing, and Data Science. Designed for practical learning, it includes projects, hackathons, internships, and hands-on coding sessions to enhance real-world problem-solving skills. With placement assistance, industrial visits with IT firms and expert faculty from both academia and industry, the program ensures excellent career opportunities. Specialized tracks allow learners to focus on BlockChain, Full-Stack Development, DevOps, and more, aligning with evolving tech trends. The program also fosters entrepreneurship and innovation. The program is a gateway to a successful and dynamic career in the IT industry.
| Code | Subject | Credits | |||
| Lecture | Tutorial | Practical | Total | ||
| 25MCA101T | Mathematical Foundations for Computing | 3 | 1 | 0 | 4 |
| 25MCA102T | OOP Concepts with JAVA | 3 | 0 | 0 | 3 |
| 25MCA102P | OOP Concepts with JAVA – Practical | 0 | 0 | 1 | 1 |
| 25MCA103T | Foundations of Algorithms and Data Structures | 3 | 0 | 0 | 3 |
| 25MCA103P | Foundations of Algorithms and Data Structures – Practical | 0 | 0 | 1 | 1 |
| 25MCA104T | Relational Database Management System | 3 | 0 | 0 | 3 |
| 25MCA104P | Relational Database Management System – Practical | 0 | 0 | 1 | 1 |
| 25MCA105T | Fundamentals of Operating System | 3 | 0 | 0 | 3 |
| 25MCA105P | Fundamentals of Operating System- Practical | 0 | 0 | 1 | 1 |
| Code | Subject | Credits | |||
| Lecture | Tutorial | Practical | Total | ||
| 25MCA201T | Software Development Principles | 3 | 1 | 0 | 4 |
| 25MCA202T | Computer Networks and Data Communication | 3 | 0 | 0 | 3 |
| 25MCA202P | Computer Networks and Data Communication – Practical | 0 | 0 | 1 | 1 |
| 25MCA203T | Fundamentals of Python Programming | 3 | 0 | 0 | 3 |
| 25MCA203P | Fundamentals of Python Programming – Practical | 0 | 0 | 1 | 1 |
| 25MCA204T | Web Development Fundamentals | 3 | 0 | 0 | 3 |
| 25MCA204P | Web Development Fundamentals – Practical | 0 | 0 | 1 | 1 |
| Elective-I | 3 | 0 | 1 | 4 | |
| Code | Subject |
| 25MCA205AT | Fundamental Principles of Cyber Security |
| 25MCA205AP | Fundamental Principles of Cyber Security – Practical |
| 25MCA205BT | Fundamentals of Data Science |
| 25MCA205BP | Fundamentals of Data Science – Practical |
| 25MCA205CT | Automated Software Testing |
| 25MCA205CP | Automated Software Testing – Practical |
| 25MCA205DT | Basics of Internet of Things |
| 25MCA205DP | Basics of Internet of Things – Practical |
| 25MCA205ET | Web Development using PHP |
| 25MCA205EP | Web Development using PHP – Practical |
| Code | Subject | Credits | |||
| Lecture | Tutorial | Practical | Total | ||
| 25MCA301T | Fundamentals of Machine Learning | 3 | 0 | 0 | 3 |
| 25MCA301P | Fundamentals of Machine Learning – Practical | 0 | 0 | 1 | 1 |
| 25MCA302T | Flutter Application Development | 3 | 0 | 0 | 3 |
| 25MCA302P | Flutter Application Development – Practical | 0 | 0 | 1 | 1 |
| 25MCA303T | DevOps Engineering | 3 | 0 | 0 | 3 |
| 25MCA303P | DevOps Engineering – Practical | 0 | 0 | 1 | 1 |
| Elective – II | 3 | 0 | 1 | 4 | |
| Elective – III | 3 | 0 | 1 | 4 | |
| Code | Subject |
| 25MCA304AT | Image Recognition and Processing |
| 25MCA304AP | Image Recognition and Processing – Practical |
| 25MCA304BT | Introduction to Cloud Computing |
| 25MCA304BP | Introduction to Cloud Computing – Practical |
| 25MCA304CT | Data Analytics and Business Intelligence |
| 25MCA304CP | Data Analytics and Business Intelligence – Practical |
| 25MCA304DT | Big Data Engineering |
| 25MCA304DP | Big Data Engineering – Practical |
| 25MCA304ET | Full Stack Web Development |
| 25MCA304EP | Full Stack Web Development – Practical |
| Code | Subject |
| 25MCA305AT | Neural Networks and Deep Learning |
| 25MCA305AP | Neural Networks and Deep Learning – Practical |
| 25MCA305BT | Mobile Testing & Automation |
| 25MCA305BP | Mobile Testing & Automation – Practical |
| 25MCA305CT | Web Applications using NodeJs and ReactJs |
| 25MCA305CP | Web Applications using NodeJs and ReactJs – Practical |
| 25MCA305DT | Principles of Distributed Computing |
| 25MCA305DP | Principles of Distributed Computing – Practical |
| 25MCA305ET | Fundamentals of BlockChain Technology |
| 25MCA305EP | Fundamentals of BlockChain Technology – Practical |
| Code | Subject | Credits | |||
| Lecture | Tutorial | Practical | Total | ||
| 25MCA401IP | Industrial Project | 0 | 0 | 0 | 24 |