+91 79 2395 2196/97, 7069021574 iitgnx@iitgn.ac.in

Executive Masters in

Applications of Machine Learning in Engineering

Bridging Data and Discovery: Machine Learning-Driven Science and Engineering

 

Application Deadline 25 September 2025

Applications opened on March 24, 2025!

Executive Masters in Applications of Machine Learning in Engineering

The Executive Masters in Applications of Machine Learning in Engineering program at the Indian Institute of Technology, Gandhinagar, is a forward-thinking initiative designed to empower professionals in the era of intelligent automation and data-driven decision-making. What sets this program apart is its interdisciplinary inclusivity—designed for professionals from engineering, manufacturing, energy, infrastructure, healthcare, and beyond. Whether you are looking to optimize industrial processes, enhance predictive maintenance, or develop AI-powered engineering solutions, this program provides the technical expertise, practical insights, and strategic mindset needed to lead in an increasingly AI-driven world. Elevate your career with machine learning applications in engineering. Join us at IIT Gandhinagar.

IIT Gandhinagar invites applications to Executive Masters program in Applications of Machine Learning in Engineering starting in October 2025.

Program structure

The Executive Masters degree program structure is as below:

Program Duration: 2 years
Number of Credits: 52 credits
Modules: There are six modules in the program.
Module Duration: Each module lasts for 12-14 weeks.

Eligibility

  • Minimum of 55% marks/5.5 CGPA/CPI (on a 10-point scale) in BTech (4-year program) / BS (4-year program) in a relevant field of Engineering and Technology / Integrated Master of Science (5-year programmes)  
    OR
    MCA / M.Sc./BS-MS (5-year programme) or equivalent with a minimum of 55% marks/5.5 CGPA/CPI (on a 10-point scale)  in a relevant field
  • Mathematics in grade 12 is mandatory.

Program fee

Application fee ₹1000 (to be paid during application submission)
Fee structure for candidates enrolling in the program

Details Amount (in INR)

Registration Fee

To be paid within 2 weeks of the selection.

₹ 1,50,000

Tuition Fee

(Paid in 6 installments)

₹ 7,80,000
Total Fees ₹ 9,30,000

Education loan avail from leading banks and NBFCs

Important Dates

Application Deadline

10 August 2025

25 September 2025

Notification Email to Candidates Within 1 week of the interview
Pre-registration 27th Sep 2025
Orientation Session 4th Oct 2025
Classes Start Week of 5th Oct 2025

For further information, you may email us at admission@iitgn.ac.in or iitgnx@iitgn.ac.in
Contact us + 91 79 2395 2196/97, 7069021574

Mathematical Methods for Data Science

Probability and statistics

Programming for Data Science

Dimensionality reduction and transforms

Writing

Optimization for data science and machine learning

Machine learning and data analysis

Leadership

Data-driven dynamical systems

Advanced data-driven modeling and control

Reduced order models

Project-I

Physics-informed machine learning

Project-II

Skill Set

  • Mathematical & Statistical Foundations
  • Programming & Computational Tools
  • Machine Learning Techniques
  • Dimensionality Reduction & Transformations
  • Optimization & Control Systems
  • Physics-Informed ML & Scientific Computing
  • Big Data & Scalable Computing

Tools & Technologies Covered

  • Programming Languages: Python, R
  • Libraries & Frameworks: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
  • Data Visualization: Matplotlib, Seaborn, Plotly
  • Optimization Libraries: SciPy, CVXPY
  • Control Systems Tools: MATLAB, Simulink
  • Machine Learning Frameworks: Keras, PyTorch, TensorFlow

Learning Format

  • Live Interactive Online Sessions
  • Accessible Recorded Lectures (For Revision and Missed Classes)
  • Learn from industry leaders and domain experts through exclusive guest sessions.
  • Weekend/Evening classes to accommodate professional commitments.
  • Continuous assessments through quizzes, assignments, and exams.
  • Optional on-campus experience at IIT Gandhinagar for immersive learning.