MSc Computer System and Knowledge Engineering

Overview

Duration

Discipline

Level

Affiliation

Last Updated

Eligibility Criteria

The candidate pursuing the admission must hold Bachelor’s Degree in Computer/Electronics and Communication Engineering or its equivalent from recognized institutions. The candidate shall appear in the admission test(entrance examination).

Top Colleges Offering MSc Computer System and Knowledge Engineering under Tribhuvan University (TU)

Pulchowk Campus

Tribhuvan University (TU)Pulchowk, Lalitpur

Curriculum Structure

First Semester

S.N.	Course Title	Credit	Internal	External	Total
1	Algorithmic Mathematics	4	40	60	100
2	Computer Systems	4	40	60	100
3	Knowledge Engineering	4	40	60	100
4	Operation Research	4	40	60	100
	Total	16

Second Semester

S.N.	Course Title	Credit	Internal	External	Total
1	Information Security and audit	4	40	60	100
2	Cloud Computing	4	40	60	100
3	Elective 1	4	40	60	100
4	Elective 2	4	40	60	100
	Total	16

Third Semester

S.N.	Course Title	Credit	Internal	External	Total
1	Project	4	40	60	100
2	Elective 3	4	40	60	100
3	Elective 4	4	40	60	100
	Total	12

Fourth Semester

S.N.	Course Code	Course Title	Credit	Internal	External	Total
1		Thesis	16	40	60	100

Elective Courses

Elective courses will be offered as per the availability of resource persons. The lists of elective are as follows:

Image Processing
Neural Networks
Machine Learning and Pattern Recognition
Semantic Web Technologies and Applications
Advanced Database Systems
Advanced Switching and Routing for Enterprise Networks
Agile Computing
Big data Applications and Analytics
Smart Systems: Algorithms & Tools
Speech and Language Processing
Client/Server Distributed Systems
Advanced Data Mining
Natural Language Processing
Next Generation Internet Technologies
Information Retrieval
Bioinformatics
Digital Color and Imaging Technologies
etc.

Course Outcome

Understand advanced computer system architecture
Learn knowledge representation and reasoning
Design intelligent and expert systems
Apply AI and machine learning techniques
Work with big data and data mining tools
Develop software for knowledge-based applications
Use algorithms for decision support systems
Conduct research in intelligent computing
Integrate system design with knowledge engineering
Prepare for roles in AI, R&D, and system development

More About This Program

The course is designed to equip students with specialized knowledge in computer systems and knowledge engineering, particularly from the perspective of hardware and software development. It focuses on the design, development, and programming of computer systems, with a strong emphasis on embedded hardware and distributed software systems.

Knowledge engineering, a key component of the program, involves embedding human expertise into computer systems to solve complex problems. It primarily deals with building, maintaining, and advancing knowledge-based systems. This field encompasses areas such as artificial intelligence, databases, data mining, expert systems, decision support systems, and information systems. Additionally, knowledge engineering is closely connected to mathematical logic and is deeply integrated with cognitive science and socio-cognitive engineering, where knowledge is shaped by collective human reasoning and structured based on our understanding of how logic and thought processes function.