M.Tech in Information Technology
Advanced intelligence-driven computing for research, innovation, and complex problem solving.
Program Overview
The M.Tech in Information Technology provides advanced study in intelligent computing, data-driven systems, and software architectures. It emphasizes research, analytical depth, and system-level thinking to address complex computational challenges across diverse technology-driven domains.
Students gain expertise in intelligent algorithms, data modeling, system design, and advanced analytics, along with proficiency in modern computing tools, research methodologies, and scalable technology frameworks for solving real-world problems.
At a Glance
Duration
2 Years
Semesters
4 Semesters
Scholarship
Available
Eligibility
Qualification
B.E./B.Tech.
Branch Required
Minimum Score
55% aggregate
Entrance Exams
Program Highlights
Research-Oriented Curriculum
Emphasizes analytical depth, experimentation, and problem-driven learning
Advanced Computing Labs
Access modern tools, platforms, and high-performance computing resources
Interdisciplinary Focus
Integrates intelligence, data, security, and software systems
Innovation Exposure
Encourages research publications, patents, and technology entrepreneurship
Syllabus
The curriculum progresses from advanced computing foundations to intelligent systems, data analytics, and secure architectures, culminating in research-driven projects that integrate theory, experimentation, and real-world problem solving.
Major Specialization Tracks
Students may select a specialization to develop deep expertise. Elective subjects will be based on the chosen track.
Artificial Intelligence
Intelligent algorithms, learning models, and cognitive computing systems
Data Analytics
Large-scale data processing, modeling, and analytical decision systems
Cybersecurity
Secure computing architectures, threat analysis, and risk mitigation
Cloud Computing
Distributed systems, virtualization, and scalable infrastructure design
Software Systems
Advanced software architecture, quality engineering, and system optimization
Program Outcomes
- Design intelligent computing systems using advanced algorithms and data models
- Develop scalable software solutions for complex technological environments
- Analyze large datasets to extract actionable insights and patterns
- Evaluate and implement secure, efficient, and optimized IT architectures
Career Pathways
Graduates are equipped to work with top-tier tech companies and startups in a wide range of roles.