Master of Science in Computer Science and Engineering by Research

About the Program

The Master of Science programme in Computer Science and Engineering imparts the knowledge, skills and attitude to contribute to world class research in the area of computer science. Master of Science students are expected to publish their work in leading international journals and conferences pertaining to their area of research. Research programmes leading to Master of Science/Ph.D. degrees are the main thrust in the institute. These programmes attract students from all corners of the country, in addition to some international students.

The research programmes have a limited amount of course work, essentially to prepare the student to carry out research, and to develop adequate breadth in the subject area. The main emphasis is on the research work leading to a thesis. This involves delving in depth into a research topic and includes grasping, evaluating and refining ideas, mathematical rigor, problem formulation, literature survey, implementation (programming) and performance evaluation. Typically students decide on their research area and faculty advisor within the first year while doing course work. Thereafter, the steps involved are: finishing course work (to build research background and breadth) and thesis defense.

Course duration

Flexible (Minimum: 3 semesters minimum; Maximum: 6 semesters for regular and 8 semesters for part-time). Typical duration varies between 2-3 years.


B.E/B.Tech/M.E/M Tech all branches, M.Sc, MCA, MA (Maths). 


Breadth/Depth Requirements: A student should demonstrate the knowledge of the basic courses in at least 4 stream areas and must take an advanced course in a minimum of 3 stream areas. Typically, a student takes 3 elective courses in each of the first two semesters, and thereafter is expected to focus on thesis work. At most 4 credits can be converted to project / independent study credits in lieu of courses.


Sample elective courses typically offered in the institute include:

  • Artificial Intelligence
  • Introduction to NLP
  • NLP Semantics
  • Machine Translation & Information Extraction
  • Multi Agent Systems
  • Speech Processing
  • Distributed DBMS
  • Web Data & Knowledge Management
  • Data Warehousing & Data Mining
  • Advanced Database Systems
  • Digital Image Processing
  • Computer Graphics
  • Computer Vision
  • Multimedia Systems
  • Pattern Recognition
  • Advanced Signal & Image Processing
  • Soft Computing
  • Machine Learning
  • Advanced Computer Graphics
  • Digital Communications
  • Digital Signal Processing
  • Telecommunications
  • Adaptive Signal Processing
  • Cryptography and Network Security
  • Performance Evaluation of Computer Systems
  • Principles of Programming Languages
  • Programming Language Processors
  • Embedded Systems
  • VLSI Algorithms
  • Digital Design with VHDL
  • Analog and Mixed Signal Design
  • Computer Architecture
  • Advanced Embedded Systems
  • Embedded Systems for Robotics
  • Numerical Methods
  • Theory of Computation
  • Advanced Algorithms
  • Spatial Databases


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Admission procedure



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Page last updated on April, 2023