Masters of Technology in Information Technology Engineering Syllabus
M.Tech in IT Engineering is a two-year program focusing on advanced software development, AI, machine learning, and cybersecurity. The curriculum includes core and elective subjects with practical exposure through projects. It prepares graduates for roles in emerging technologies and IT industries.
Semester 1
Subject Code
Subject Name
1
Advanced Data Structures and Algorithms
2
Computer Networks
3
Database Management Systems
4
Advanced Operating Systems
5
Mathematical Foundations for Computer Science
6
Research Methodology
7
Elective I (e.g., Cloud Computing, Digital Signal Processing)
Semester 2
Subject Code
Subject Name
1
Software Engineering and Project Management
2
Advanced Computer Architecture
3
Artificial Intelligence (AI)
4
Data Science and Big Data Analytics
5
Cryptography and Network Security
6
Elective II (e.g., Internet of Things, Data Visualization)
7
Laboratory/Project Work
Semester 3
Subject Code
Subject Name
1
Machine Learning
2
Cloud Computing and Virtualization
3
Cybersecurity and Ethical Hacking
4
Mobile Computing and Wireless Networks
5
Elective III (e.g., Blockchain, Natural Language Processing)
6
Seminar (on an emerging topic)
7
Laboratory/Project Work
Semester 4
Subject Code
Subject Name
1
Advanced Topics in Artificial Intelligence and Machine Learning
2
Distributed Systems
3
Enterprise Architecture and Design
4
Capstone Project/Thesis
5
Elective IV (e.g., Augmented Reality, Software Defined Networking)
Elective Options (Commonly Offered)
Cloud Computing
Data Analytics and Visualization
Natural Language Processing
Blockchain Technology
Cyber Physical Systems
IoT (Internet of Things)
Digital Signal Processing
Software Defined Networking (SDN)
Augmented Reality (AR)
Project Work & Dissertation
In the final semester, students complete a capstone project or thesis, which provides practical experience in solving real-world problems using advanced IT technologies. This project integrates the concepts learned throughout the course, preparing students for industry or research roles.
