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Analyze and apply the acquired knowledge in engineering principles, automation technologies and artificial intelligence to model and develop sustainable, green & efficient automation systems for various manufacturing processes/Industries
| Course Code | Type | Course | L T P | Cr |
| 24MU601 | FC | Digital Manufacturing | 3 0 0 | 3 |
| 24MU602 | FC | Mechatronics System Design | 3 0 3 | 4 |
| 24MU603 | SC | AI and Machine Learning | 2 0 3 | 3 |
| 24MU604 | SC | Additive Manufacturing | 2 0 0 | 2 |
| 24MU605 | SC | Sustainable Manufacturing | 3 0 0 | 3 |
| 24MU606 | FC | Programming for Automation | 1 0 3 | 2 |
| 24MU681 | SC | Automation Lab | 0 0 3 | 1 |
| 22AVP103 | HU | Mastery Over Mind | 1 0 2 | 2 |
| 23HU601 | HU | Career Competency I* | 0 0 3 | P/F |
| Credits | 20 | |||
| * Non-credit course | ||||
| Course Code | Type | Course | L T P | Cr |
| 24MU611 | SC | Process Control and Automation | 3 0 3 | 4 |
| 24MU612 | SC | Robotics and Autonomous Systems | 3 0 3 | 4 |
| 24MU613 | SC | IIoT and Digital Twin | 2 0 3 | 3 |
| E* | Elective I | 3 0 0 | 3 | |
| E* | Elective II | 3 0 0 | 3 | |
| E* | Elective III | 3 0 0 | 3 | |
| 23HU611 | HU | Career Competency II | 0 0 3 | 1 |
| 24RM603 | Research Methodology | P/F | ||
| Credits | 21 | |||
| *Can opt for NPTEL/ Swayam courses with prior approval from the Department | ||||
| Course Code | Type | Course | L T P | Cr |
| 24MU798 | Dissertation Phase I | 10 | ||
| Credits | 10 | |||
| Course Code | Type | Course | L T P | Cr |
| 24MU799 | Dissertation Phase II | 16 | ||
| Credits | 16 | |||
Total credits: 67
| Course Code | Course | L T P | Cr |
| Stream 1: Automation Technologies | |||
| 24MU631 | Virtual and Augmented Reality | 2 0 3 | 3 |
| 24MU632 | Real-Time Operating Systems | 3 0 0 | 3 |
| 24MU633 | Machine Vision Systems | 3 0 0 | 3 |
| 24MU634 | Mobile Robotics | 2 0 3 | 3 |
| 24MU635 | Cyber-Physical Systems | 3 0 3 | 3 |
| 24MU636 | Smart Sensors | 3 0 0 | 3 |
| 24MU637 | Automotive Automation | 3 0 0 | 3 |
| Stream 2: AI in Manufacturing | |||
| 24MU641 | Explainable AI for Manufacturing | 3 0 0 | 3 |
| 24MU642 | Deep Reinforcement Learning | 3 0 0 | 3 |
| 24MU643 | Big Data Analytics for Manufacturing | 3 0 0 | 3 |
| 24MU644 | Cyber Security in Manufacturing | 3 0 0 | 3 |
| 24MU645 | Cloud Computing | 3 0 0 | 3 |
| Stream 3: Manufacturing and Management | |||
| 24MU651 | Advanced Manufacturing Processes | 3 0 0 | 3 |
| 24MU652 | Intelligent Manufacturing Systems | 3 0 0 | 3 |
| 24MU653 | Modeling and Simulation of Manufacturing Systems | 2 0 3 | 3 |
| 24MU654 | Optimization Techniques in Engineering | 2 0 3 | 3 |
| 24MU655 | Product Life Cycle Management | 3 0 0 | 3 |
| 24MU656 | Logistics and Supply Chain Management | 3 0 0 | 3 |
| 24MU657 | Reliability Engineering | 3 0 0 | 3 |
| 24MU658 | Advances in Materials Science and Characterization | 3 0 0 | 3 |
| 24MU659 | Lean Manufacturing | 3 0 0 | 3 |
Automation Technologies
AI and ML for Manufacturing
Manufacturing and Management
International Opportunities: Student Exchange Programs/ Study Abroad Programs/ Dual Degree Programs/Research Internship Programs
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The PG program grooms a novice Mechanical Engineering graduate to become a knowledgeable and confident professional who can contribute to academia and industry alike. Two years in Amrita as a M. Tech student were phenomenal for me. It increased and refined my core knowledge and helped to achieve the best employee award for implementing the automation solutions
Excellent learning infrastructure, career guidance and training, research opportunities and highly qualified and motivated faculty are the notable positives from Amrita during my 2 years of Masters program
Master’s program at Amrita helped me to enrich my knowledge and skills as required by the Industry. Learning environment, facilities for research and the faculty at Amrita are truly commendable.
Amrita Vishwa Vidyapeetham is impressive innumerous aspects- in terms of the beautiful campus, multitudes of activities taking place all round, a serene atmosphere in the evening time. It offers opportunities for most any interest one puts mind into academics, it has some excellent faculty that inspire with their passion in their field. During the course additional workshops do offer insights into general developments in the field
The experience at Amrita was enriching in terms of technical skills and research training, which provided an opportunity to launch my carrier very successfully. Teachers are interested in students well being and they always make sure that every hour is educative and informative. The Manufacturing Engineering program offered at Amrita is highly industry oriented and intense in nature. The course enhanced my understanding of both the design and manufacturing processes that are employed in the industry today
Mr. Sabiq, a post graduate student from this PG program has received an opportunity to study at University of Porto, Portugal. He was selected to go to University of Porto through the Merging Voices Erasmus+ Program. He has completed a project titled, ‘Uncertainty Simulation in Lot Sizing and Scheduling with Parallel Machines’.
The top reasons to choose Amrita for your career
Email: mtech@amrita.edu
