Masters of Computer science and Information Technology (M.Sc CSIT)

Table of Content.

Note

You can click the semester subject to search notes, old questions, syllabus, etc.

The Master of Science in Computer Science and Information Technology (M Sc. CSIT) curriculum is designed by closely following the courses practiced in accredited international universities, subject to the condition that the intake students are mostly from Bachelor of Science in Computer Science and Information Technology (B.Sc. CSIT) program of Tribhuvan University (TU). In addition to the standard core and elective Computer Science and Information Technology courses, the program offers several courses that provide knowledge for both research and development in computer science and information technology areas. 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 courses in design and implementation of computer software systems, foundation in the theoretical model of computer science, and a functional background of computer hardware. All graduate students are required to complete at least 57 credit hours and they may complete maximum of 63 credit hours. Institute of Science and Technology (IOST) is running this program since 2001. The previous curriculum was designed by focusing the curriculum of B.Sc. Computer Science (3-years) program of TU and after the introduction of B.Sc.CSIT (4-years) program in TU, this program has been redesigned specially focusing the B.Sc.CSIT (4-years) curriculum.

Objectives

The main objective of M.Sc. CSIT is to provide students depth knowledge and skill research and development areas in computer science and information technology including design, theory, programming and application of computers.

However, the main objectives of the M.Sc. CSIT program can be enlisted as:

  • To offer intensive knowledge in the theory, design, programming, and application of computers.
  • Providing an in-depth understanding of and experience with computer systems.
  • Developing creative and analytical skills that provide a basis for technological problem-solving.
  • Equipping students with the technical knowledge required for IT professionals to handle multitasking situations and to assess and develop computer-based solutions.
  • Imparting knowledge of computer and programming logic environment in IT.
  • Knowledge of advanced IT applications in different business sectors.
  • To equip students with the technical knowledge required for an IT professional to handle multi-tasking and multiprogramming situations and to assess and develop computer-based solutions.
  • To provide necessary knowledge in the field of functional knowledge of hardware system and the and necessary knowledge of computer software system.

Eligibility

The student who want to enroll the M.Sc. CSIT Program must have completed B.Sc. CSIT degree offered by TU or its equivalent. Prospective students can apply for admission by submitting a completed form as required by the general rule of the university. The students for admission are selected based on the scores in the entrance test conducted by the admitting college. The program also admits students having Bachelor of Engineering (B.E.) degree Computer, Electronics and Communication, and Electrical.

Semester 1

Subjects Credit Hours Full Marks
Advanced Computer Architecture 3 75
Algorithmic Mathematics 3 75
Parallel and Distributed Computing 3 75
Neural Networks 3 75
Seminar I 3 75

Semester 2

Subjects Credit Hours Full Marks
Systems Proming 3 75
Data Warehousing and Data Mining 3 75
Advanced Database Concepts 3 100
Computational Geometry 3 75
Machine Learning 3 75

Semester 3

Subjects Credit Hours Full Marks
Multimedia Computing 3 75
Remote Sensing and GIS 3 75
Image Processing and Pattern Recognition 3 75
Embedded Systems 3 75
Fuzzy Systems 3 75

Semester 4

Subjects Credit Hours Full Marks
e-Government 3 75
Cloud Computing 3 75
Information and Coding Theory 3 75
Dissertation 3 200
Genetic Algorithms 3 75
back to top button
error: Please be respectful of copyright. Unauthorized use is prohibited.