Course Structure M.Sc. in Computer System and Knowledge Engineering

First Semester

S.N.	Course Code	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 Code	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 Code	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 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.