M.Tech Mechanical Engineering (Robotics and Automation)
Programme Overview
In today's fast-paced technological environment, the M.Tech in Robotics and Automation at MIT-WPU is designed to address the rising demand for skilled professionals in this field. This programme provides a deep understanding of robotics and automation technologies, equipping students with the theoretical knowledge and practical skills required to design, develop, and manage advanced robotic systems and automated processes. Through a curriculum that includes advanced robotics, automation systems, and AI integration, students are prepared to contribute to cutting-edge advancements in artificial intelligence, machine learning, and smart manufacturing.
The programme also emphasises practical experience through hands-on laboratory work, real-world projects, and industry internships, ensuring that graduates are industry-ready. By focusing on innovation and adaptability in the era of Industry 4.0, the M.Tech in Robotics and Automation at MIT-WPU aims to produce experts who will drive technological transformation and shape the future of various industries.
Major Tracks
- Robot Operating System
- Intelligent Robotic Systems
- Robot System Reliability and Safety
- Digital Manufacturing System
- Advances in Mobile Robots and AGV
Duration & Fees
Duration
2 Years
Applications Open for 2026
Fee Per Year
₹ 2,25,000
Scholarship
| GATE Score | MIT-WPU Stipend per month | Workload / Teaching Assistantship in MIT-WPU |
|---|---|---|
| Eligible General Category GATE Score for stipend as per AICTE norms | ₹ 12,500/- (For the entire duration of the programme) | 8 hours workload per week |
| GATE Score 15 and up-to Eligible General Category cut-off | ₹ 8,000/- (For first year only) | 6 hours workload per week |
| GATE Score 10 to 14.99 | ₹ 6,000/- (For first year only) | 4 hours workload per week |
Note:
- During Working Hours, M.Tech Students will be considered for 'on campus job' as per Policy
- Stipend will be effective only after receiving complete fees for the first year.
- In case student is receiving any government scholarship/stipend, University stipend will not be applicable.
Terms & Conditions Apply:
- All Scholarships are awarded on a First Come First Serve basis. All Scholarships are awarded as fee adjustments.
- To continue the scholarship for the entire duration of the programme, a minimum level of the academic score has to be maintained at an 8 CGPA across all semesters, attendance is to be maintained at a minimum of 80 percent, with no live backlogs in any subject/programme and no semester break, and there should be no disciplinary action against the student.
For more detailed information visit our website: https://mitwpu.edu.in/scholarships
Eligibility
Minimum 50% aggregate score in graduation (4 years) of relevant Engineering Branch from UGC approved University or its equivalent (at least 45% marks, in case of Reserved Class category candidate belonging to Maharashtra State only)
AND
GATE Qualified (Obtained a positive score in GATE 2025 / 2024 / 2023) /MIT-WPU CET 2025 /PERA CET 2025
OR
Sponsored Candidate (Need 2 years of work experience after graduation, in a field related to graduation).
Selection Process
The Selection process for this Programme is based on the merit of MIT-WPU CET 2025 score/ PERA CET 2025 score or GATE 2025/ 2024/ 2023 score & Personal Interaction conducted by MIT-WPU. For admission under sponsored category, candidates should have a minimum two years of full time work experience in a registered firm/ company/ industry/ educational and/or research institute / any Government Department or Government Autonomous Organisation in the relevant field in which admission is sought. Sponsorship Certificate is mandatory for the admission. (The exact date and time of the online Examination and Personal Interaction will be communicated to the candidate once scheduled.) *Note: MIT-WPU retains the right to make changes to any published schedule. Any other criterion declared from time to time by the appropriate authority as defined under the Act.
Programme Highlights
- Integrated Mechanical Engineering Expertise : Apply advanced mechanical engineering knowledge and tools with a multi-disciplinary approach to tackle real-world challenges in robotics and automation.
- Leadership and Professional Growth : Prepare to lead in professional settings, with opportunities to engage in research, innovation, or entrepreneurship within the field.
- Ethical and Collaborative Learning : Foster ethical values, teamwork, and a commitment to lifelong learning, ensuring a well-rounded educational experience that supports both personal and professional development.
- Hands-On Experience : Gain practical experience through cutting-edge laboratory work, real-world projects, and industry internships to enhance your technical skills and readiness for the industry.
- Innovative Curriculum : Benefit from a curriculum that integrates the latest advancements in robotics, AI, and automation technologies, aligning with Industry 4.0 trends and demands.
Programme Structure
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
I |
PC | Advanced Mathematics | 3 |
| I | PC | Fundamentals in Robotics | 4 |
| I | PC | Advanced Industrial Automation | 4 |
| I | PC | Control System in Robotics & Automation | 4 |
| I | PC | Research Methodology for Mechanical Engineers | 4 |
| I | PC | Robotics Lab | 1 |
| I | UC | Scientific Studies of Mind, Matter, Spirit and Consciousness | 2 |
| I | UC | Yoga - I | 1 |
| Total Credits | 23 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
II |
PC | Analysis and Synthesis of Mechanisms | 4 |
| II | PC | Artificial Intelligence and Machine Learning | 3 |
| II | PC | Internet of Things for Mechatronics | 4 |
| II | PE | Program Elective-I | 4 |
| II | PE | Program Elective-II | 4 |
| II | PR | Seminar | 2 |
| II | UC | Peace Building: Global Initiatives | 2 |
| Total Credits | 23 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
III |
PC | Machine Vision System | 4 |
| III | PE | Program Elective-III | 4 |
| III | PE | Program Elective-IV | 4 |
| III | PR | Research Project - I | 8 |
| Total Credits | 20 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
IV |
PR | Internship | 4 |
| IV | PR | Research Project - II | 12 |
| Total Credits | 16 | ||
| Semester | Course Type | Course Name/Course Title |
|---|---|---|
|
II |
PE - I | Robot Operating System |
| II | PE - I | Intelligent Robotic Systems |
| II | PE - I | Robot System Reliability and Safety |
| II | PE - I | Digital Manufacturing System |
| II | PE - II | Advances in Mobile Robots and AGV |
| II | PE - II | Medical Robots |
| II | PE - II | Drone Technology |
| II | PE - II | Robotics in Healthcare & Agriculture |
| III | PE - III | Computer Aided Engineering |
| III | PE - III | Advanced Mechanical Vibration |
| III | PE - III | Soft Robotics |
| III | PE - III | Industrial Engineering & Management |
| III | PE - IV | Embedded System Design and RTOS |
| III | PE - IV | Industry 5.0 and Emerging Technologies |
| III | PE - IV | Modern Control Panel |
| III | PE - IV | Autotronics |
Career Prospects
Robotics Engineer
Automation Engineer
Control Systems Engineer
Mechatronics Engineer
AI and Machine Learning Engineer
Research and Development Engineer
Field Service Engineer
Product Development Engineer
System Integration Engineer
Technical Sales Engineer
Programme Outcomes
- An ability to apply knowledge of mathematics, science, and engineering for the solution of complex Mechanical engineering problems.
- An ability to identify, formulate and analyse complex engineering problems leading to substantiated conclusions through reviewing literature and applying first principles of mathematics, natural sciences and engineering sciences.
- An ability to obtain a feasible solution to complex Mechanical engineering problems through design of a system, component or process to meet desired needs within realistic constraints such as economic, environmental, health, safety and sustainability.
- An ability to conduct investigations of complex problems.
- An ability to use techniques, skills and modern engineering tools for modelling and simulation of complex engineering activities.
- An ability to apply contextual knowledge for the assessment of health, safety, societal and regulatory issues relevant to the engineering practice.
- An ability to understand the impact of engineering solutions in a global, economic, environmental and societal context and need for sustainable development.
- An ability to become a responsible professional following ethical principles and norms of the engineering practice.
- An ability to function effectively in the professional environment as an individual and as a member or leader of multidisciplinary teams.
- An ability to communicate effectively on complex engineering activities with the engineering community and society at large.
- An ability to apply engineering and management principles in multidisciplinary projects.
- Recognition of the need for, and an ability to engage in life−long learning to keep abreast with the emerging technologies.
FAQs
Students gain expertise in robot kinematics, machine learning, control systems, and industrial automation. The programme provides hands-on experience with programming industrial robots and designing automated systems.
Graduates can work as Robotics Engineers, Automation Specialists, or System Integration Engineers in manufacturing, automotive, and process industries. Many also pursue roles in research labs and AI-driven robotics startups.
The curriculum combines traditional mechanical principles with cutting-edge robotics technology and AI applications. Students learn to design, programme, and maintain advanced robotic systems while understanding their mechanical fundamentals.
Students work in advanced robotics laboratories and undergo industrial training with automation companies. The programme includes hands-on projects involving robot programming, PLC systems, and automated manufacturing cells.
Students can explore research in collaborative robotics, autonomous systems, industrial IoT, and smart manufacturing. The programme supports research projects in emerging areas like soft robotics and bio-inspired automation systems.
admissions@mitwpu.edu.in
