
Program Details
Develop complex parts and assemblies using precision manufacturing techniques, including metal-based additive manufacturing.
Leverage Industrial IoT to design, implement, and manage smart manufacturing systems.
Assess potential risks and recommend effective cyber security measures for digital factories.
Analyze challenges in adopting digital technologies and formulate strategies to transform them into growth opportunities.
Hands-On Experience: Learners gain hands-on experience through virtual simulations and remote labs, supported by tools such as DFMA, MATLAB, VCNC, and IoT-based labs.
Annual Conclave: Offers opportunities to network, share insights, and learn from leading industry professionals and academicians.
MIT Alumni Network: On successful completion, participants join the prestigious MIT Alumni community, gaining access to a global network of professionals.
Industry-Ready Skills: Equips engineering professionals with the skills required for employment in industries such as automotive, heavy engineering, equipment manufacturing, and precision engineering.
Strong Emphasis Areas: Places strong emphasis on additive manufacturing, digital manufacturing, and the application of artificial intelligence in manufacturing.

Lab Work
World-class laboratories give learning a practical dimension.
Lab Work
World-class laboratories give learning a practical dimension.










Our meaningful collaborations with industry leaders and global universities enhance your career opportunities and higher education pathways.


Admissions Path
Merit List
Merit list based on MET score or PGCUET score.
Admission Criteria
Provisional Admission is offered to shortlisted candidates based on merit and vacancy.
Program Eligibility
You must successfully complete BE/BTech in the relevant branch from a recognized university with a minimum of 50% aggregate marks.
If you have qualified GATE under the General Category, you will be given additional weightage.
You must appear for the Manipal Entrance Test (MET)/PGCUET 2026 and obtain the required cut-off score.
Curriculum and Fees
First year coursework is focused on covering subjects such as CAD/CAM for Additive Manufacturing, Advanced Manufacturing Processes, Digital Product Design and Manufacturing, Digital Twin in Manufacturing, Industrial IoT and Haptics, Virtual Manufacturing and Rapid Prototyping and Finite Element Methods in Digital Manufacturing, along with electives in areas like Precision Engineering, AI for Manufacturing, and Robotics. Practical training is supported through labs including IoT, Advanced Materials Testing, Manufacturing Control and Automation, Additive Manufacturing, Robotics, and Flexible Manufacturing Systems.
Program Duration
Total Program fees
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Total Program fees
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