eMaster's in Applications of Machine Learning in Engineering New Program of IITGNX: Check All Details

This article gives a brief description of the newly launched program of the Indian Institute of Technology, Gandhinagar. Additionally, this article gives information about the fee structure, eligibility criteria, registration dates, and the curriculum of the program.

May 23, 2025, 16:57 IST

eMaster s in Applications of Machine Learning in Engineering New Program of IITGNX

The Indian Institute of Technology, Gandhinagar’s e-Masters in Applications of Machine Learning in Engineering program is a creative effort to educate professionals for the age of intelligent automation and data-driven decision-making.

Key Highlights of eMaster’s in Applications of Machine Learning in Engineering

This newly introduced program, eMaster’s in Applications of Machine Learning in Engineering, will be of 2 years duration, along with 52 credits. The interdisciplinary participation of this curriculum, which is intended for professionals in engineering, manufacturing, energy, infrastructure, healthcare, and other fields, is what makes it unique.

This newly introduced program offers the technical know-how, real-world insights and strategic attitude required to lead in an increasingly AI-driven environment, whether your goal is to improve predictive maintenance, optimise industrial processes, or create AI-powered engineering solutions. Use machine learning applications in engineering to advance your career.

Below are some of the essential dates that an aspirant should be aware of if they wish to seek admission to this course:-

Particular	Dates
Registration Open	March 24, 2025
Registration Date	June 5, 2025
Round 2 of Application Review	May 1, 2025 to June 5, 2025
Round 2 of the Interview Process	June 6, 2025 to June 12, 2025
Round 2: Result Announcement	June 17, 2025
Start of the Program	August 18, 2025

Curriculum of eMaster’s in Applications of Machine Learning in Engineering

The Indian Institute of Technology, Gandhinagar, has provided a curriculum for the candidates to know before applying for admission to their newly launched program. This curriculum will be taught to the selected candidates over the course of 2 years and will provide a total of 52 credits.

Below is the list of the curriculum that has been designed for the newly launched eMaster’s in Applications of Machine Learning in Engineering program of IIT Gandhinagar:-

Mathematical Methods for Data Science
Programming for Data Science
Writing
Machine learning and data analysis
Data-driven dynamical systems
Reduced order models
Physics-informed machine learning
Advanced data-driven modelling and control
Leadership
Optimisation for data science and machine learning
Dimensionality reduction and transforms
Probability and statistics

Fee Structure of the New Program of IITGN-X

The eMaster’s in Applications of Machine Learning in Engineering program of the Indian Institute of Gandhinagar is offering admission to aspiring candidates with an application fee of INR 1000, while applying. IIT, Gandhinagar has also provided a brief breakdown of the fee structure which a candidate will have to pay once they get admitted to this newly introduced program.

Below is the breakdown of the fee structures as provided by the Indian Institute of Technology, Gandhinagar:-

Particulars	Fees
Registration Fee that has to be paid within two weeks of the selection of the candidate	INR 1,50,000
Tuition Fee, which has to be paid in 6 instalments	INR 7,80,000
Total Fees	INR 9,30,000

Eligibility Criteria for Admissions to the New Program

The Indian Institute of Technology, Gandhinagar, has provided a set of eligibility criteria for the candidates who seek admission to the eMaster’s in Applications of Machine Learning in Engineering program. This program will be taught in six modules, and each module will last for 12-14 weeks.

Below is the list of eligible criteria for the eMaster’s in Applications of Machine Learning in Engineering program of the Indian Institute of Technology, Gandhinagar:-

A candidate must have at least scored 55% marks in either the Bachelor of Technology, Bachelor of Science (BS) program in the related field of Engineering and Technology. And, the candidate should have scored 55% marks in the Integrated Master of Science program.
A candidate should have mandatorily taken Mathematics in class 12th.

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