Syllabus
MTech Syllabus and Subjects
MTech is generally a two-year postgraduate programme divided into four semesters. The curriculum combines advanced theoretical study with laboratory sessions, specialised electives and research-based project work.
The MTech syllabus varies by specialisation and institution. Students typically study advanced subjects in their chosen field and complete a dissertation, thesis or industry-oriented project. The duration and requirements of this work depend on the programme structure.
The following table presents an indicative overview of subjects across MTech specialisations:
| Specialisation | Core Subjects |
|---|---|
| Civil Engineering | Advanced Structural Analysis; Advanced Foundation Engineering; Construction Project Management |
| Mechanical Engineering | Advanced Fluid Mechanics; Computer-Aided Design; Advanced Thermodynamics |
| Electrical Engineering | Advanced Power System Analysis; Modern Control Theory; Advanced Electrical Machines |
| Artificial Intelligence and Machine Learning | Advanced Machine Learning; Deep Learning; Natural Language Processing |
| Computer Science Engineering | Advanced Algorithms; Distributed Systems; Advanced Computer Architecture |
| Data Science | Big Data Analytics; Statistical Data Analysis; Data Mining and Warehousing |
| Cybersecurity and Information Security | Advanced Cryptography; Network Security; Cyber Forensics and Incident Response |
Electives, laboratory work and research projects help students develop specialised technical knowledge and practical problem-solving skills. Students should review their chosen institution’s syllabus for the complete subject list and semester-wise structure.