Master of Technology [M.Tech] (Computer Science) Syllabus, Course Structure and Program Schedule 2025-2026

Course Structure

M.Tech. in Computer Science course structure educate students with basic concepts in specification and analysis of program which helps in developing qualities of a good solution and various concepts consisting of algorithm development. Main objective of the course also includes simulating and evaluation of different computing systems.

Delivery method of M.Tech. in Computer Science course encompasses of classroom lectures, practical sessions, seminars, guest lectures, internships and research programs. The marks of the students are based on their performances in Theory exams, Industrial training, Seminar /viva-voce, Dissertation and Teaching assignment/ Lab work.

Syllabus

Subjects included in the syllabus cover variants of computer science engineering like Advanced Operating System, Distributed systems and a number of elective subjects like software project and project management.

Assessment is done on the basis of internal and external exams with a weightage of 30% and 70% respectively.

An overview of M.Tech. in Computer Science courses and topics covered in is given below:

Name of the Subject	Topics	Objective
Cryptography and Network Security	Principles of Security and Basic Cryptographic techniques Symmetric Key Cryptography Asymmetric Key Cryptographic Digital Envelope Public-Key Infrastructure (PKI) Authentication Security in layers and domains Electronic transactions	The objective of this course is to make students understand the principles of security and Cryptographic techniques.
Theoretical Foundations of Computer Science	Regular expressions and finite Automata Regular & Non regular languages Context-free grammars Pushdown Automata Context-free and Non-Context-free languages Turing Machines Graph Theory	The goal of this subject is to teach students about the theoretical aspects of computer science course.
Systems Programming & Operating Systems	Overview Various kinds of language translators The Flow of Compilation process Overview of operating systems Deadlock Memory Management File Management & I/O System	The objective of this course is to make students aware about various types of operating systems.
Computer Organization & Architecture	Digital computer components Memory hierarchy, Addressing modes Pipelining concepts in CPU design Performance evaluation	This subject helps students in learning about the various components of computers and their organization.
Data Structure & Algorithm	Algorithm Data Structure Array String Link List Stack and Queue Recursion Tables and Information Retrieval Searching Sorting Tree Graph Files	This subject helps students gain knowledge about various types of data structures and information retrieval.
Advanced Database Management System	Distributed Database Introduction Query Optimization & Concurrency Control Introduction of Data Warehousing Data Marts Online Analytical Processing Developing a Data Warehousing Data Mining Association Rules Clustering Techniques Decision Trees Web Mining Temporal Data mining	The objective of this subject is to make students understand about data mining and warehousing.
Industrial Training	6 weeks training	This training is mandatory for the students pursuing this course.
Thesis	Submission of research paper	The students pursuing this course have to submit a thesis at the end of the last semester.