Bachelor in Computer Engineering (BE Computer)
University
Bagmati University
Duration
4 years
Fee
Rs.
Summary
A four-year undergraduate program that develops expertise in computer systems, software, networking, AI, and emerging technologies for professional careers in IT and computing.
Description:
The Bachelor in Computer Engineering (BE Computer) at Bagmati University is a four-year, eight-semester program designed to equip students with knowledge in computer programming, software engineering, networking, artificial intelligence, machine learning, cybersecurity, and emerging technologies. The curriculum emphasizes both theoretical understanding and practical applications, including hands-on projects, internships, and research. Students gain the skills to design, implement, and manage computing solutions, preparing them for careers in software development, IT infrastructure, data science, cybersecurity, and technology innovation.
Description
Curricular Structure:
| Year / Semester | Course Code | Course Title |
|---|---|---|
| Year I – Sem I | BSC411 | Mathematics I |
| BCT415 | Computer Programming | |
| BSC413 | Fundamentals of Electrical and Electronics | |
| BSC412 | Physics | |
| BCT414 | Computer Workshop | |
| BCE416 | Engineering Drawing | |
| Year I – Sem II | BSC421 | Mathematics II |
| BCT424 | Principles of Object-Oriented Programming | |
| BCT425 | Electronic Devices and Circuits | |
| BGC423 | Technical English | |
| BCT426 | Theory of Computation | |
| BSC422 | Chemistry | |
| Year II – Sem I | BSC431 | Mathematics III |
| BCT432 | Computer Graphics | |
| BCT433 | Fundamentals of Data Science | |
| BCT434 | Digital Logic and Design | |
| BCT442 | Data Structures and Algorithms | |
| Year II – Sem II | BSC441 | Probability and Statistics |
| BCT443 | Database Management System | |
| BCT444 | Digital Communication and Networking | |
| BCT445 | Microprocessor | |
| BCT446 | Operating System | |
| Year III – Sem I | BCT451 | Web and Mobile Application Programming |
| BSC442 | Numerical Computation | |
| BCT453 | Computer Architecture and Organization | |
| BCT454 | Advances in Computer Networks | |
| BCT455 | Elective I | |
| Year III – Sem II | BCT461 | Artificial Intelligence |
| BCT462 | Software Engineering | |
| BGC463 | Economics | |
| BCT464 | Cryptography & Cyber Security | |
| BSC465 | Research Methods and Project Design | |
| BCT467 | Elective II | |
| Year IV – Sem I | BCT471 | Distributed Computing |
| BCT472 | ICT Project Management | |
| BCT473 | Social Engineering and Professional Practices | |
| BCT474 | Machine Learning for Computer Vision | |
| BCT475 | Elective III | |
| BCT476 | Final Project Phase I | |
| Year IV – Sem II | BCT481 | Elective IV (Modular) |
| BCT482 | Internship (3 Months) | |
| BCT483 | Final Project Phase II |
Electives:
- Elective I: Analysis and Design of Algorithms, Principles of Programming, Parallel and Distributed Algorithms, Agile Methodologies, Pervasive Computing, Advanced Python Programming, Network and Systems Programming
- Elective II: Advanced Java Programming, Network and Systems Administration, Applied Fintech Engineering, Satellite and Radar Communication, Image Processing and Pattern Recognition, 5G Wireless Communication, Data Mining and Warehousing, Bio-Medical Instrumentation, Software-Defined Networking, Data Warehousing and Data Mining
- Elective III: Internet of Things, Large Language Models, Cloud Computing and Virtualization, Geographic Information System, Machine Vision, Embedded Systems Programming, Compiler Construction, XML Foundations, Enterprise Application Design, Advanced Data Science, Broadband Communications, Quantum Cryptography, Bioinformatics, Disaster Recovery and Business Continuity Planning
- Elective IV: Information Retrieval, Database Administration, Deep Learning, System Analysis and Design, Emerging Technologies, Quantum Computing, Software Reliability and Quality Assurance, Digital Forensics, Speech Processing, Natural Language Processing, Digital Economy, IT Security Audit, Cyber Physical System, Machine Learning and Pattern Recognition
Features
Features:
- Emphasis on software, networking, AI, cybersecurity, and emerging technologies
- Hands-on projects, research, and internship experience
- Modular electives to specialize in advanced topics
- Development of analytical, problem-solving, and technical skills
- Preparation for global IT and computing careers
Admission Process
Admission Process:
- Completion of 10+2 or equivalent in science/engineering stream
- Submission of academic transcripts and certificates
- Admission may include evaluation or interview based on college policy
Job Prospects
Job Prospects:
- Software Developer / Engineer
- AI / Machine Learning Specialist
- Data Scientist / Analyst
- Network Engineer / Systems Administrator
- Cybersecurity Specialist
- IT Project Manager
- Embedded Systems Engineer
- Cloud Computing and Virtualization Expert
- Database Administrator
- Research and Development in Emerging Technologies
No entrance requirements available
No curriculum information available
Contact the university for detailed curriculum information