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IIT Gandhinagar opens admissions for e-Masters in Machine Learning applications for engineers

PUBLISHED: LAST UPDATE:

IIT Gandhinagar introduces a flexible e-Masters in Machine Learning for engineers, enhancing skills through interactive sessions. Apply by June 5, 2025.

Machine learning

The Indian Institute of Technology Gandhinagar (IITGN) has launched an e-Masters Degree Programme in Applications of Machine Learning in Engineering, aimed at equipping engineering and technology professionals with advanced knowledge and practical skills in integrating machine learning into core engineering practices.

This two-year, flexible learning programme is tailored for working professionals, offering 100% live interactive sessions during evenings and weekends, alongside self-paced learning modules. The curriculum covers six modules over 12 to 14 weeks each, amounting to 52 credits. Small batch sizes, mentorship, career development support, and a short-term campus residency are key features of the course. Participants will also gain IITGN alumni status upon completion.

Eligibility Criteria and Application Process

Applicants must hold at least 55% marks or a 5.5 CGPA/CPI in one of the following qualifications: a four-year BTech/BS degree in a relevant Engineering or Technology field, a five-year Integrated MSc, or a five-year MCA, MSc, or BS-MS degree (or equivalent). Additionally, applicants must have studied mathematics at the Grade 12 level.

Interested candidates should visit sites.iitgn.ac.in/iitgnx/applications-of-machine-learning-in-engineering/, fill out the online application form, upload required documents (including academic certificates and proof of mathematics at the +2 level), and pay an application fee of Rs 1,000. The deadline for submission is June 5, 2025.

Fee Structure for the e-Masters Programme

The total cost of the programme is Rs 9,30,000. Selected candidates must pay a registration fee of Rs 1,50,000 within two weeks of selection. The remaining Rs 7,80,000 in tuition fees is to be paid in six instalments.

This initiative reflects IITGN’s continued focus on bridging the gap between traditional engineering and modern computational technologies.

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