Executive Masters in
Applications of Machine Learning in Engineering
Bridging Data and Discovery: Machine Learning-Driven Science and Engineering
Access the Executive Masters class website [AMLE-2025] for enrolled students.
ADMISSIONS OPEN- BATCH 2
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.
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 instalments) Module 1 Module 2 Module 3 Module 4 Module 5 Module 6 Total |
₹1,30,000 ₹1,40,000 ₹1,50,000 ₹1,20,000 ₹1,20,000 ₹1,20,000 ₹7,80,000 |
| Total Fees | ₹9,30,000 |
Education loan avail from leading banks and NBFCs
Important Dates
|
Important Notifications |
Dates |
|
Application Portal Opens |
1 May 2026 |
|
Application Portal Closes |
30 Nov 2026 |
|
Round 1: Application Review |
1 May – 15 June 2026 |
|
Round 1: Interview Process |
16 June – 20 June 2026 |
|
Round 1: Result Announcement |
25 June 2026 |
|
Round 2: Application Review |
16 June – 31 July 2026 |
|
Round 2: Interview Process |
3 August –7 August 2026 |
|
Round 2: Result Announcement |
14 August 2026 |
|
Round 3: Application Review |
1 August – 30 October 2026 |
|
Round 3: Interview Process |
2 Nov – 7 Nov 2026 |
|
Round 3: Result Announcement |
13 Nov 2026 |
|
Final round: Application Review |
1 Nov- 30 Nov 2026 |
|
Final round: Interview Process |
1 Dec- 8 Dec 2026 |
|
Final round: Result Announcement |
15 Dec 2026 |
|
Session Commencement |
4 January 2027 |
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.