The M.Tech program in Manufacturing Technology & Automation offers advanced specialization in robotics and digital manufacturing, equipping students with in-depth knowledge and practical skills in modern manufacturing systems. The program covers advanced manufacturing processes, computer-integrated manufacturing, robotics, and smart production technologies.
The curriculum integrates core mechanical engineering principles with emerging trends, including Industry 4.0, digital manufacturing, industrial automation, and data-driven production systems. Emphasis is placed on developing competencies in intelligent manufacturing, process optimization, and the application of automation technologies in modern industries.
Through research projects, industry interaction, and state-of-the-art laboratory facilities, students gain hands-on experience and the ability to address real-world manufacturing challenges. The program fosters analytical thinking, innovation, and technical expertise required for advanced manufacturing environments.
Graduates are well prepared for leadership roles in manufacturing industries, robotics and automation sectors, consultancy, research and development, and academia, contributing to the development of efficient, innovative, and intelligent manufacturing systems.
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Scholarships and teaching/research assistantships are available for deserving meritorious students. Minimum requirement for scholarships is a score of 75% and above in the Qualifying exam. Each scholarship application will be evaluated by the Scholarship Committee. The scholarships are given on an annual basis. To continue the scholarships after the first year, the student will have to maintain a minimum prescribed academic performance during the course of the programme.
Assistantships require students to commit minimum of 8 hours of work per week outside regular academic work, assisting professors on teaching or research projects. Typically an assistantship could pay a stipend of Rs. 12000 per month depending on the type and quality of work undertaken.
Continuation of assistantship during each semester is contingent upon satisfactory academic performance and satisfactory performance in the discharge of responsibilities assigned under the scheme.
| Semester I |
|---|
| Computational Methods and Optimization Techniques |
| Advanced Manufacturing Processes |
| Advanced Materials and Processing |
| Industrial Automation and Robotics |
| Program Elective I (Annexure - I) |
| Computational Methods and Optimization Techniques Lab |
| Advanced Manufacturing Lab |
| Introduction to Intellectual Property |
| Semester II - Course Name |
|---|
| Industrial Instrumentation and Control |
| Research Methodology |
| Digital Manufacturing |
| Quality Engineering in Manufacturing |
| Program Elective II (Annexure - II) |
| Advanced Welding Lab |
| CAD/CAM/CIM Lab |
| Scientific Paper Writing |
| Semester III - Course Name |
|---|
| Industrial / Research Internship |
| Dissertation-I |
| Semester IV - Course Name |
|---|
| Dissertation-II |
| Semester II - Course Name |
|---|
| Engineering Mathematics-II |
| Applied Chemistry |
| Semester II - Course Name |
|---|
| Engineering Mathematics-II |
| Applied Chemistry |
Accomplish vertical expertise in chosen discipline and enhance ability to function in multidisciplinary domains.
Ability and aptitude to exercise research intelligence in investigations/innovations and to communicate the findings in a clear, concise manner.
Develop and apply knowledge of engineering and management principles to manage a project in a multidisciplinary environment.
Gain knowledge of ethical principles and commit to professional ethics.
Ability to identify appropriate resources and learn independently for projects, research etc. using online resources.
PSO 1: Apply advanced knowledge and skills in the latest manufacturing technologies and automation systems to solve complex engineering problems.
PSO 2: Utilize research-based knowledge, including design of experiments, data analysis, interpretation, and modern IT tools, to enhance manufacturing processes and innovations.
PSO 3: Design and implement automated mechanical systems or processes that meet functional requirements while considering constraints like safety, health, and manufacturability.