MSc in Computer System and Knowledge Engineering

Course duration

The duration of the course is two years in the semester system. The last semester is dedicated to thesis work.

Course Structure

The course consists primarily of two types of courses; the core courses deal with the fundamentals and application in different course areas whereas the elective courses deal with very specific details of the course. A student is allowed to select any relevant four courses from among the elective courses besides five core courses. The consistency of elective selection will be ensured with assistance from the faculty advisor. The course is thesis-based and the student has to take a project work of 4 credits and a thesis of 20 credits. The student works under the guidance of the faculty advisor.

Credit System

The curriculum is organized in the framework of the credit system. Each course has a certain number of credits, which indicates the weightage. The number of credits depends upon the course contact hours. Normally a course is designed for 4 hours of lecture per week. The tutorial on each course may include laboratory, simulation works and assignment works as determined by the department.

Instructional Methods

The courses comprise of Lecturer, Tutorials, and Laboratory works, and seminars, short projects as applicable. The concerned faculty would give the assignments. Reference materials including international publications, journals, handbooks, websites, related software, etc will be used extensively. The course contents are designed in such a way that the students should use considerable self-learning efforts. Innovative approaches and ideas would be encouraged.

Qualifying Criteria

To qualify for the Master of Science in Information and Communications Engineering, a student must satisfactorily complete a program of course work of at least 60 credits including an individual thesis of 20 credits.

To be eligible for admission to the M.Sc in Computer System and Knowledge Engineering, a candidate must have passed a bachelor's degree in computer/electronics and communication engineering, electrical and electronics engineering, or its equivalent from recognized institutions.

1. Have undergraduate grades significantly above average and not less than the prescribed by the faculty board of IOE, and
2. Secure minimum score, as prescribed by the Faculty Board of IOE, in the entrance test conducted by the Entrance Board of IOE (or as recommended by special entrance committee for Foreign students)

Note: Equivalence means the same kind of degree obtained from institutes other than TU and recognized by TU as the equivalent to the degree provided by TU in the same discipline.

The candidate willing to appear in the entrance examination to get enrollment into the M.Sc. program should fill and submit the Application Form online within the deadline prescribed by the Entrance Exam Board. Application forms will be available in the websites: www.ioe.edu.np/entrance or http://entrance.ioe.edu.np. The application procedures are as follows:

1. The candidate should deposit required amount as an application fee for entrance examination in Account No mentioned in the notice by submitting a specially prepared voucher often by filling applicant's name and date of birth in it. The voucher No. indicated in the voucher needs to be specified in the online application form.

2. The candidate must select the appropriate entrance stream.

3. The candidate should fill up the other required fields in the form without skipping any steps.

4. The candidate also needs to upload his/her color photograph of prescribed specification and one of the following identification documents.

• Citizenship certificate
• Passport
• Last exam admit card

If any change has to be done on the submitted information in application form, candidate has to pay extra fee to edit six or less number of normal text fields. For name, photo or ID document correction, he/she has to pay more amounts at ICTC and submit a letter of request for correction with the payment voucher

Seat/Quota distribution for M.Sc Program

Total Intake	Regular Merit	IOE Reserved	Full Fee	Sponsored
20	5	1	6	8

1. One seat in regular category and One seat in full fee category are reserved for female candidates in each program
2. One seat is reserved for IOE faculty. For IOE Reserved Quota, priority will be given to permanent IOE faculty. If there are no applicants from permanent IOE faculty, then priority will be given to faculties who have completed 5 years as a contract faculty. If there is no applicant in IOE reserve quota, it is added to Full Fee Seat. 1/4th of the sponsored quota is reserved for the Foreign students.
3. Priority for the sponsored quota will be as follows:
   1. 1st Priority: Candidates from government offices & Government Owned Organizations or Companies
   2. 2nd Priority: Other Organizations
4. If applications are not received in sponsored/foreign category, then the seat will be fulfilled as full fee category.

Master of Science in Computer Systems and Knowledge Engineering (MSCSKE) course consists primarily of two types of courses; the core courses deal with the fundamental and application in different course areas whereas the elective courses deal with very specific details of the course.

A student is allowed to select any relevant three courses from among the elective courses besides seven core courses. The consistency of elective selection will be ensured with assistance from the faculty advisor. The course is thesis-based and the student has to take a project work of 4 credits in the 2nd Semester and a thesis of 16 credits in the 4th Semester. The student works under the guidance of the faculty advisor. The detailed course structure is given in section 2 below

Course Structure

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	160	240	400

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	160	240	400

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	120	180	300

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 courses 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.