Master of Science in Computer Science and Information Technology (M.Sc. Computer Science and Information Technology)

Master Of Science In Computer Science And Information Technology (M.Sc. Computer Science And Information Technology)

Affiliated to: Tribhuvan University

About Course

  • Course Title : Master Of Science In Computer Science And Information Technology (M.Sc. Computer Science And Information Technology)
  • Category/Level : Masters
  • Course Duration (months) : 24 months
  • Cost Range (NPR) :
  • Affiliated to : Tribhuvan University
Course Description:

The M. Sc. Computer Science and Information Technology curriculum is designed by closely following the courses practiced in accredited international universities, subject to the condition that the intake students are mostly from B. Sc. Computer Science program at Tribhuvan University. In addition to the standard core and elective computer science courses, the program offers service courses to meet the need of high technology application. The foundation and core courses are designed to meet the graduate program requirement, and the service courses are designed to meet the need of fast changing computer technology and application. Students enrolled in the graduate program are required to take course in design and implementation of computer software systems, foundation in the theoretical model of computer science, and functional background of computer hardware. All graduation students are required to complete minimum of 54 credit hours of computer science courses.

The objective of the M. Sc. Computer Science program at Tribhuvan University is to offer intensive course in the design, theory, programming and application of computers. The courses are designed to admit student who have completed B. Sc. CSIT  program of Tribhuvan University or its equivalent.

Hours of Instruction:
1. Working Days: 70 days in a semester.
2. Class hour:
i. 3 credit hours with theory and lab is equivalent to 3 lecture hours and 3*4 lab hours = 15 working hours per week.
ii. 3 credit hours with theory-only course is equivalent to 3 lecture hours and 3*2 assignment hours = 9 working hours per week.

Assignment hours include library work, home work, problem solving session, literature searching on the web, etc. 3. Attendance: 70 percent in each paper in compulsory.

Examination:
Institute of Science and Technology, Tribhuvan University will conduct the final examination at the end of each semester. 80% weightage will be given to the final examination and 20% for the internal assessment to be conducted by the concerned department.

Evaluation:
Pass marks:
Theory - 50 %v Practical – 50 %v A student having passed his/her 4 semesters (2 years) of study will be graded as follows:
• Distinction Division 80 % and above ( 4 semester’s average)
• First Division 70 % and above ( 4 semester’s average)
• Second Division 60 % and above ( 4 semester’s average)
• Third Division 50 % and above ( 4 semester’s average)

The student will have to pass separately in theory and practical examinations.

Admission info

A degree in B.Sc. in Computer Science  or curriculum equivalent to bachelor level program in computer science at Tribhuvan University, is required for admission. Students having masters degree in Science (Physics, Statistics and Mathematics) and students of four year degree in engineering can also apply for admission provided they have completed pre-requisite courses needed to enroll in the first year course of M.Sc.CSIT program. The selection for admission is based ion entrance examination and 24 students have been enrolled in a semester.

Syllabus

Semester I
> CSc 511: Discrete Structure: Theory + Tutorial
> CSc 512: Advanced Data Structure: Theory  and Lab
> CSc 513: Operating System: Theory  and lab
> CSc 571: Seminar
Elective (Any One)                 
> Csc 514: Algorithmic Mathematics: Theory  and Lab
> CSc 515: Advanced Database Design: Theory and Lab

Semester II
> CSc 521: Advanced Computer Architecture:Theory and Lab
> CSc 522: Automata Theory: Theory + Tutorial
> CSc 523: Design and Analysis of Algorithm: Theory  and Lab
> CSc 581:Seminar                 
Elective (Any One)                 
> CSc 524:Optimization Techniques: Theory + Tutorial
> CSc 525: Internet Programming: Theory and Lab
> CSc 526: Embedded System: Theory and Lab
> CSc 527: Multimedia Technology: Theory and Lab
> CSc 528: Distributed Computing: Theory and Lab
> CSc 529: Artificial Intelligence: Theory and Lab

Semester III
> CSc 631: Compiler Construction: Theory and Lab
> CSc 632: Software Engineering: Theory and Lab
> CSc 671: Seminar: 0
      Elective (Any One)                 
> CSc 633:Computational Geometry: Theory and Lab
> CSc 634:Object Oriented Analysis and Design: Theory and Lab
> CSc 635: Systems Programming: Theory + Tutorial
> CSc 636: Cryptography and Internet Security: Theory and Lab
> CSc 637: Neural Network: Theory and Lab

Semester IV
> CSc 641: Principles of Programming Languages: Theory + Tutorial
> CSc 681: Project\Dissertation
Extra Elective
> CSc 642: Graphics and Image Processing: Theory and Lab
> CSc 643: Introduction to Randomize Algorithm: Theory and Lab
> CSc 644: Evolutionary Computing and Genetic Algorithms: Theory and Lab
> CSc 645: Data Communication and Networking: Theory and Lab
> CSc 646: Scheduling Algorithms: Theory  and Lab
> CSc 647: Data Mining and Ware Housing:Theory and Lab

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