23 March 2026

MTech Syllabus and Subjects: Core, Electives & Specialisation-Wise Curriculum Guide

Table of Contents

MTech Syllabus
Syllabus of MTech Specialisations
MTech Mechanical Engineering Syllabus
Final Thoughts
FAQs

Master of Technology (MTech) is a postgraduate engineering degree course that helps you develop advanced technical skills, exposure to research, and critical analytical skills.

The programme also focuses on practical learning that ensures you acquire comprehensive knowledge in your respective specialisation.

The MTech programme offers high-growth career opportunities in industry, research, and academia through structured coursework, in-house laboratory sessions, industrial visits, and intensive project work.

The syllabus is well-structured and offers a balanced combination of core subjects and MTech elective subjects. It combines theoretical background and practical training with research opportunities, development of technical skills, and a dissertation or major project in the final year.

Such an in-depth framework allows you to be highly specialised and, at the same time, gain industry-related skills. This blog aims to cover the MTech syllabus in a detailed manner:

M Tech Syllabus

The MTech syllabus is usually categorised into two broad areas: core subjects and elective subjects.

The MTech core subjects are compulsory subjects that are set to develop excellent conceptual knowledge and technical skills in the selected field. These M Tech subjects form the academic backbone of the programme.

The MTech elective subjects, on the other hand, offer flexibility. These subjects enable you to venture into specialised fields, depending on your interests, career objectives and industry trends.

The list of M Tech all subjects can differ, depending on the specialisation you have chosen, such as Computer Science, Civil Engineering or Artificial Intelligence.

Syllabus of MTech Specialisations

Each MTech specialisation offers a unique combination of theoretical knowledge and practical exposure. The MTech syllabus is designed to align with the technical demands of the specific field.

The section below outlines the M Tech subjects included in the syllabus across some of the engineering specialisations. However, please note that the actual curriculum may vary, depending on the institution you are applying to.

MTech Mechanical Engineering Syllabus

Semester-I	Semester-II
Core Subjects
Advanced Engineering Mathematics	Numerical Control of Machine Tools
Operational Management	Non-traditional and Modern Machining
Principles of Machining Process	Robotics
Computer Graphics and CAE	Robotics and Mechatronics Lab
Machining Technology Lab	Seminar II
CAD/CAM Lab
Seminar I
Elective Subjects
Hydraulics and Pneumatics	Reverse Engineering and Rapid Prototyping
Ergonomics and Work System Design	Mechatronics
Statistical Process Control	Holonic Manufacturing Systems
	Reliability
	Quality Function Deployment
	Business Process Reengineering
Semester-III	Semester-IV
Core Subjects
Pre-submission Defense of Dissertation	Dissertation (Completion)
Dissertation Progress	Post-submission Defense of Dissertation
	Comprehensive Exam (Viva-Voce)

MTech Civil Engineering Syllabus

Semester-I	Semester-II
Core Subjects
Building Materials for Sustainable Development	Construction Project Management
Advanced Design of Concrete Structures	Advanced Design of Water and Wastewater Treatment Units
Advanced Concrete Technology	Quality And Safety Management in Construction
Structural Engineering Lab	Construction Management Software Laboratory
Computer Aided Design Lab	Physico-Chemical Treatment Process Lab
Transdisciplinary Project Centric Learning-I	Transdisciplinary Project Centric Learning-II
Elective Subjects
Structural Health Monitoring	Fuzzy Logic Applications In Civil Engineering
Environmental Engineering Applications of GIS and Remote Sensing	Solid Waste and Hazardous Waste Management
Intelligent Transportation Systems	Engineering Earth Sciences
Formwork Design and Practice	Design of Hydraulic Structures
Advanced Wastewater Engineering and Sludge Analysis	Industrial Waste Management
Advanced Ground Improvement Techniques	Urban Mass Transport Systems
Thermo-Chemical Heat Transfer	Fire Driven Flows
Organisational Behaviour*	Human Resource Management*
Ideation, Creativity and Innovation for Startups	Marketing, Finance and Business Models For New Ventures
Semester-III	Semester-IV
Core Subjects
Dissertation Phase -I	Dissertation Phase II
Internship	PCL II - Research and Entrepreneurship Project
Transdisciplinary Project Centric Learning-III
Elective Subjects
Structural Safety and Reliability
Sustainable Water and Waste Management
Road Safety And Management
Urban Water Resource Management
Repair And Rehabilitation Of Structures
Pavement Analysis And Design
Fire Protection
Finance For Non-Finance Professionals*
Entrepreneurship*

*These are usually offered as open electives, and can vary based on the institution you are applying at.

MTech Structural Engineering Syllabus

Semester-I	Semester-II
Core Subjects
Structural Dynamics	Construction Project Management
Advanced Design Of Concrete Structures	Finite Element Method
Advanced Concrete Technology	Earthquake Resistant Structures
Structural Engineering Lab	Construction Management Software Laboratory
Computer Aided Design Lab	Structural Design Lab
Transdisciplinary Project Centric Learning-I	Transdisciplinary Project Centric Learning-II
Elective Subjects
Structural Health Monitoring	Theory and Applications of Cement Composites
Design of Tall Buildings	Design of Bridges
Stability Analysis of Structures	Plastic Analysis and Design
Formwork Design and Practice	Micro Structure Analysis of Concrete
Design Of Offshore Structures	Design of Industrial Steel Structures
Pre-Stressed and Composite Structures	Analysis and Design Of Shells And Folded Plates
Thermo-Chemical Heat Transfer	Fire Driven Flows
Organisational Behaviour	Human Resource Management
Ideation, Creativity and Innovation for Start-ups	Marketing, Finance And Business Models for New Ventures
Semester-III	Semester-IV
Core Subjects
Dissertation Phase -I	Dissertation Phase II
Internship	PCL II - Research and Entrepreneurship Project
Transdisciplinary Project Centric Learning-III
Elective Subjects
Structural Safety and Reliability
Design of Masonry Structures
Theory of Elasticity
Demolition Methods and Cutting-Edge Technology
Repair and Rehabilitation of Structures
Tunnelling Technology
Fire Protection
Finance for Non-Finance Professionals
Entrepreneurship

MTech Computer Science and Engineering Syllabus

Semester-I	Semester-II
Core Subjects
Computer Organisation & Architecture	Theoretical Foundations of Computer Science
Data Structures and Algorithms	Advanced Database Management System
Systems Programming and Operating Systems	Distributed Computer Systems
Data Structure and Algorithms Laboratory	Advanced Data Base Laboratory
Networks and System Programming Laboratory	Programming Laboratory I (Based on the Elective chosen)
	Term Paper and Seminar
Elective Subjects
Web Technology and E-Commerce	VLSI System Design
Internet Technology	Real-Time and Embedded System
Advanced Windows Programming	Cellular Automata and Its Applications
Elements of Robotics	Artificial Intelligence and Neural Network
Mobile Computing	Object Oriented Information System Design
Software Engineering and Project Management	Enterprise Computing Methodologies
	Multimedia Technology
	Digital Signal Processing
Semester-III	Semester-IV
Core Subjects
Programming Laboratory II (for the Elective chosen)	Project Work (Phase-II) and Seminar
Project Work (Phase-I)	Viva-voce
Seminar
Elective Subjects
Image Processing & Pattern Recognition
Bio-informatics
Soft Computing
Courseware Engineering
Advanced Microprocessors
Parallel Computing
Compiler Construction
Cryptography and Computer Security

MTech Data Sciences Syllabus

Semester-I	Semester-II
Core Subjects
Linear Algebra and Optimisation Techniques	Data Analytics using SQL
Visualisation Techniques using Tableau	Big Data Analytics
Machine Learning using Python	Natural Language Processing
Research Methodology	Data Analytics using SQL Lab
Python for Data Science	Fundamentals of Innovation and Venture Development in Entrepreneurship - 2
NoSQL Databases
Digital Image Processing
Elective Subjects
Python for Data Science	Cloud Web Services
NoSQL Databases	Real Time Data Processing Using Spark
Digital Image Processing	Big Data Analytics on Cloud
Inferential Statistics	Advanced Machine Learning
Time Series Analysis	Reinforcement Learning
Operations Research	Speech Processing
Semester-III	Semester-IV
Core Subjects
Project Centric Learning Phase - III	Dissertation Project
Project Phase-1	Project Centric Learning Phase – III
Elective Subjects
Deep Learning for Visual Recognition
Deep Learning for Cyber Security
Blockchain Technology
Predictive Analytics for Internet of Things
Cloud Computing and Security in the Cloud
Financial Data Analytics

MTech Artificial Intelligence Syllabus

Semester-I	Semester-II
Core Subjects
Mathematical Foundations for AI	Big Data Management
Machine Learning with Python	Advanced Machine Learning
Image Processing and Computer Vision	Bio-Inspired Computing
Research Methodology	Advanced Machine Learning Lab
Machine Learning with Python LAB	Fundamentals of Innovation and Venture Development Entrepreneurship 2
Image Processing and Computer Vision Lab
Fundamentals of Innovation and venture development entrepreneurship 1
Elective Subjects
Fuzzy Logic and Applications	Artificial Neural Network and Deep Learning
Inferential Statistics and Data Analysis	Data Analytics using SQL
Embedded Systems	Digital Signal Processing
Genetic Algorithm and Application	Natural Language Processing
Probabilistic Graphical Model	Data Visualisation with Tableau
Sensor Technology	AI Platforms
	Reinforcement Learning
	Chat Bot Development
	Cloud Web Services
Semester-III	Semester-IV
Core Subjects
Project Centric Learning 3	Dissertation Project
Project Phase - I	Project Centric Learning 4
Elective Subjects
Statistical Modelling for Computer Sciences
Data Engineering
Cognitive Systems
Digital Imaging Techniques and Analysis
Quantum Artificial Intelligence
Natural Language Computing
MLOps
Federated Learning

MTech Cyber Security Syllabus

Semester-I	Semester-II
Core Subjects
Cyber Security and Risk Management	Cyber Forensics
Cryptography and Network Security Protocols	Software Security
Ethical hacking	Threat Intelligence with Analytics
Research Methodology and IPR
Cryptography and Network Security Protocols Lab
Ethical hacking Lab
Fundamentals of Innovation and Venture Development in Entrepreneurship – 1
Elective Subjects
Security Architecture	Cloud Security
Web application testing (with Lab)	Database Security
Block Chain Technology	Security and Privacy for Big Data Analytics
Cyber Security Incident Response Management	Mobile, Wireless and VOIP Security
End Point Security Management	Importance of Security in E-Commerce
Cyber Laws and Security Policy	Android Security
	IoT Security
	Securing Servers
	Adaptive Security Architecture
Semester-III	Semester-IV
Core Subjects
Project Centric Learning Phase - III	Dissertation Project
Project Phase-1	Project Centric Learning Phase – III
Elective Subjects
Coding and Information Theory
Formal Methods for Security
Android Security
Wireless Networking and Security
Security in Cloud Computing
Special Topics in Cryptography
Blockchain Technology
Secure Systems Engineering
Special Topics in Cyber Security

MTech Biotechnology Syllabus

Semester-I	Semester-II
Core Subjects
Biochemistry	Genetic Engineering
Cell and Molecular Biology	Immunology
Introduction to Engineering Principles	Bioprocess Engineering and Technology
Microbiology	Downstream Processing in Biotechnology
Plant and Animal Cell Technology	Bioreactor Operations
Basics of Mathematics and Statistics	Computational Biology
Basics of Chemistry and Physics	Laboratory III: Molecular Biology and Genetic Engineering Lab
Laboratory I: Biochemistry and Analytical Techniques Lab	Laboratory IV: Immunology Lab
Laboratory II: Microbiology Lab
Semester-III	Semester-IV
Core Subjects
Bioprocess Equipment Design and Economics	Dissertation
Bioentrepreneurship
Instrumentation and Control
Intellectual Property Rights, Biosafety and Bioethics
Research Methodology and Scientific Communication Skills
Laboratory V: Downstream Processing in Biotechnology Lab
Project Proposal Preparation and Presentation
Dissertation
Elective Subjects
Bioreaction Engineering
Computational Programming
Environmental Biotechnology
Enzyme Engineering & Technology
Medical Devices
Metabolic and Systems Biology
Molecular Diagnostics
Nanobiotechnology
Production of Biotherapeutics
OMICS Technologies

MTech Electronics and Communication Engineering (VLSI and Embedded Systems Design) Syllabus

Semester-I	Semester-II
Core Subjects
Advanced VLSI Technology and Design	Embedded OS and RTOS
Advanced Embedded System	Software Technologies for Embedded Systems
Low Power VLSI Design	Embedded OS and RTOS Lab
Advanced Embedded System Lab	Software Technologies for Embedded Systems Lab
Advanced VLSI Technology and Design Lab	Research And Entrepreneurship Project 2
Research and Entrepreneurship Project 1
Elective Subjects
Bioelectronic System	Quantum and Nano-science
Embedded System Fundamentals	Error Control & Coding
AI and Neural Networks	Sensors
Advanced Digital Communication	Physical Design & Testing
	RF Circuits & Systems
	Low Power VLSI Design
	Mobile Communication
	Advanced Micro & Nano Devices
	Advanced FET Technology
Semester-III	Semester-IV
Core Subjects
Mandatory Internship (Summer)	Dissertation/ Industry Project Phase 02
Dissertation/ Industry Project Phase 01	Research and Entrepreneurship Project 4
Technical Seminar
Research and Entrepreneurship Project 3
Elective Subjects
CAD of VLSI Circuits
Digital IC Design
Microelectronics Chip Design
Semiconductor Optoelectronics

MTech Electrical and Electronics Engineering (EV Technology)

Semester-I	Semester-II
Core Subjects
Electric and Hybrid Vehicles	Electric Drive Train & Control
Advanced Power Converters & Drives	EV Batteries & Charging Systems
Advanced Control Theory	EV Motors and Control Lab
Electric Vehicle Simulation Laboratory	Vehicle Dynamics Lab
Advanced Power Converters & Drives Lab	Research and Entrepreneurship Project
Research and Entrepreneurship Project	Project-based Research Module Course 2
Project-based Research Module Course 1	Professional Skill Enhancement
Elective Subjects
Energy Storage Concepts and Applications	Special Electrical Machines and Drives
Renewable Energy Conversion Systems	Electric Vehicle Engineering and Development
Sensors and Instrumentation	Embedded Processors and Controllers
Analysis of Automotive Structures	Design of Power Electronic System
Thermal Management of Electric Vehicles	Hydrogen and Fuel Cell Technologies
Simulation and Analysis of Fluid Flow and Heat Transfer Phenomena	EV Charging Systems
	Electric and Hybrid Vehicles
	Electric Charging Systems for Electrical Vehicles
Semester-III	Semester-IV
Core Subjects
Mandatory Internship	Project Basket
Dissertation/ Industry Project Phase 01	Conference/ Paper /Patent
Technical Seminar
Elective Subjects
Advanced Engineering Materials
Forensic Engineering
Data Science for Engineers
Design Thinking
Functional Programming in Haskell
Principles of Automation
Reuse and Recycle Technology
System Modelling
Expert Systems

Final Thoughts

An MTech programme is designed to help you become industry-ready and future-focused.

With its balanced blend of core and elective subjects, you can sharpen your domain knowledge and nurture practical and innovation-driven skills.

If you are ready to build a high-growth career in engineering, explore the relevant MTech specialisations offered by JAIN (Deemed-to-be University) Faculty of Engineering and Technology.

FAQs

Q1: Which MTech course is best?

A1: The best MTech course depends on your career goals and background. Specialisations like Computer Science, Artificial Intelligence, Data Science, VLSI, and Structural Engineering are highly in demand due to the vast range of career opportunities it offers.

Q2: What courses can I pursue after M.Tech.?

A2: After MTech, you can pursue a Doctor of Philosophy (PhD), Master of Business Administration (MBA), or industry certifications in specialised domains such as AI, project management, or data analytics.

Q3: What is the overall structure of a M.Tech syllabus?

A3: The syllabus typically includes core M Tech subjects, elective subjects, lab work, seminars, and a final-year dissertation or research project.