Master of Computer Application
University
Tribhuwan University
Duration
2 years
Fee
Rs.
Summary
Two-year, four-semester graduate program focused on advanced computing, software engineering, data systems, and applied research. Intake limited to 30 students at Patan Multiple Campus.
Professional computing program emphasizing problem-solving, system design, analytics, software development, and applied research. Curriculum blends theory with project-based work. Electives extend specialization into AI, cloud computing, cybersecurity, forensics, big data, managerial domains, and digital transformation. Program structure designed for students targeting roles in computing, digital systems, data-driven industries, and secure systems engineering.
Description
Curricular Structure (Table)
Year 1 – Semester 1
| Code | Course | Credits | Theory | Practical |
|---|---|---|---|---|
| MCA501 | Discrete Structure | 3 | 3 | 2 |
| MCA502 | Advanced Operating System | 3 | 3 | 2 |
| MCA503 | Advanced DBMS | 3 | 3 | 2 |
| MCA504 | Programming Logic & Techniques using Python | 3 | 3 | 2 |
| MCA505 | Research Methodology | 3 | 3 | 2 |
| MCA506 | Technical Writing | 1 | – | 2 |
| Total | 16 |
Year 1 – Semester 2
| Code | Course | Credits | Theory | Practical |
|---|---|---|---|---|
| MCA551 | Algorithm Analysis & Design | 3 | 3 | 2 |
| MCA552 | Object Oriented Software Engineering | 3 | 3 | 2 |
| MCA553 | Internet & Web Programming | 3 | 3 | 2 |
| MCA554 | Project I | 3 | – | 6 |
| MCA555 | Academic Writing I | 1 | – | 2 |
| Elective I | – | 3 | – | – |
| Total | 16 |
Elective I Options: Digital Humanity, Digital Marketing, Knowledge Management, E-Governance
Year 2 – Semester 3
| Code | Course | Credits | Theory | Practical |
|---|---|---|---|---|
| MCA601 | Cryptography & Network Security | 3 | 3 | 2 |
| MCA602 | Data Mining & Data Warehousing | 3 | 3 | 2 |
| MCA603 | Project II | 3 | – | 6 |
| MCA604 | Academic Writing II | 1 | – | 2 |
| Elective II | – | 3 | – | – |
| Elective III | – | 3 | – | – |
| Total | 16 |
Elective II/III Options: Big Data, Managerial Economics, Virtualization & Cloud, Image Processing, AI, Digital Forensics, GIS/RS, Data Science
Year 2 – Semester 4
| Code | Course | Credits | Theory | Practical |
|---|---|---|---|---|
| MCA651/652 | Dissertation / Project III | 9 | – | 15 |
| Elective IV | – | 3 | – | – |
| Elective V | – | 3 | – | – |
| Total | 15 |
Elective IV/V Options: Machine Learning, IoT, IS Audit, NLP, IT Infrastructure Management, Quantum Computing, BI, UI/UX Design
Features
Features
• English-medium instruction.
• 80% attendance requirement.
• Emphasis on practical workload through three major projects.
• Electives enabling specialization tracks.
• Research-oriented capstone/dissertation.
• 63-credit, intensive, cohort-based structure.
• Limited enrollment for focused learning.
Admission Process
Admission Process (Points)
• Eligibility verification based on bachelor's discipline and minimum grade requirement.
• Entrance exam conducted by FOHSS Dean’s Office.
• Merit-based ranking.
• Admission offered according to seat availability.
Job Prospects
Software engineer
• System analyst
• Database engineer
• Network security analyst
• Cloud engineer
• Data analyst
• Business intelligence engineer
• AI engineer
• Web engineer
• IT officer
• Digital forensics analyst
• Cybersecurity technician
• DevOps assistant
• Cloud-ops assistant
No entrance requirements available
No curriculum information available
Contact the university for detailed curriculum information