Overview
Master of Science (by Research) and Ph.D. in Computer Science and Engineering are research-based programs that require students to push the frontiers of human knowledge through a thesis on a topic of their choice. The discipline hosts researchers who work on a wide range of areas such as Theoretical Computer Science, Intelligent and Collaborative Systems, Data Science, and Computer Systems.
Following are the broad areas in which research scholars are currently trained.
Theoretical Computer Science – Combinatorics, Graph Theory, Algorithms, Data Structures, Type Theory, Logic and Complexity Theory.
Computer Systems – Computer Architecture, CAD for VLSI, Compilers and Programming Languages, Cyber Security, IoT, Distributed systems, High performance computing.
Artificial Intelligence and Machine Learning – Bayesian learning, Deep Learning, Reinforcement Learning, Kernel Learning, Privacy Aware Learning.
Useful links
For admission portal click here.
For regulations and ordinances on both the programs, see the following.
- MS-Ph.D Regulations (Jan 2021 Batch and Prior)
- MS-Ph.D Regulations (July 2021 Batch Onwards)
- Information regarding guidelines for participation in conference/workshop, see here.
- MS and PhD synopsis and thesis templates, see here and here respectively.