Minor in Modern Machine Learning
Join one of India's leading research-driven institute for a comprehensive 1-year online program.
Program Outcomes
- Understanding of core concepts in machine learning
- Proficiency in industry-relevant skills
- Knowledge in deep learning and large language models
- Experience with real-world problems
Six Reasons to Join This Program
Live Interaction with IIIT Faculty
Engage in direct Q&A sessions from IIIT-H professors
Skills Recognised by Industry
Gain skills that are in high demand across various industries
Fully Online and Flexible
Learn from anywhere with live interactive sessions and flexible scheduling
Rigorous Theory and Practice
Master both theoretical concepts and practical applications through carefully designed assignments
On Campus Capstone
Get a chance to be selected for a 2-month capstone project at IIIT Hyderabad campus
Peer Learning
Collaborate with fellow students in group projects and discussions
Additional Benefits
What extra value does this program offer?
Be among top 50 in your cohort and through a selection interview, get a chance to complete a 2-month capstone project, at IIIT Hyderabad campus
Access to exclusive IIIT-H campus events and learning experiences throughout the program
Opportunity to pursue advanced certificate programs after completing the minor
Pathways to join IIIT Hyderabad as a research student in the future if you excel in the program
Comprehensive Curriculum
Five terms of structured learning covering foundational to advanced machine learning concepts
Foundations of ML
Build strong fundamentals in machine learning concepts, algorithms, and mathematical foundations.
Modern ML
Explore advanced machine learning techniques, deep learning, and state-of-the-art algorithms.
Computer Vision
Master computer vision techniques, image processing, and visual recognition systems.
Natural Language Processing
Learn NLP fundamentals, text processing, and language understanding technologies.
Project / Capstone
Apply your knowledge in a comprehensive project demonstrating mastery of ML concepts.
Open to Undergraduate Students
Eligibility CriteriaWho can apply?
Undergraduate students enrolled in a degree program from a recognised university.
Discipline of Study
Enrolled in any branch of Science, Technology, or Engineering.
Prerequisites Courses
- Computer Programming
- Mathematics (covering Linear Algebra, Calculus, and Probability)
Is This Program Right for You?
This program is designed to equip you with the expertise and edge needed to thrive in today's competitive landscape
Career Focused
Eager to deepen your tech skills and unlock exciting career opportunities
Hands-on Learner
Curious about hands-on learning in emerging areas and technologies
Research Minded
Interested in exploring research possibilities and academic growth
Growth Oriented
Want to explore specialized topics and strengthen your understanding
Program Fee
Fee Structure
| One-time Plan | Course-wise Plan | |||
|---|---|---|---|---|
| Nationality | Category | 4 courses + Online Capstone | Per Course | Online Capstone |
| Indian | Regular | ₹40,000 | ₹11,000 | ₹6,000 |
| Women | ₹36,000 | ₹9,900 | ₹5,400 | |
| Transgender | ₹36,000 | ₹9,900 | ₹5,400 | |
| Economically Weaker Section (EWS) | ₹36,000 | ₹9,900 | ₹5,400 | |
| Persons with Disabilities (PwD) | ₹36,000 | ₹9,900 | ₹5,400 | |
| International | Regular | $1400 (USD) | Not Applicable | |
Fee related Policies
- If a student is selected and chooses to do an on-campus capstone project, the student is required to pay an additional fee of ₹5,000.
- Accommodation will not be provided by IIIT Hyderabad during the capstone project.
- On-campus capstone is not available for international and non-resident Indian students.
- Enrolling for the capstone project requires completion of all 4 courses.
- All applicant categories are as per the Government of India guidelines.
- All prices are inclusive of Goods and Service Tax (GST).
- Below is our refund policy:
Processing fee: ₹1,000 for all refundsTimeline Refund Percentage 15 days or more before the last date of admission 100% Less than 15 days before the last date of admission 90% 15 days or more after the last date of admission 80% 30 days or less, but more than 15 days after the last date of admission 50% After 30 days from the last date of admission No refund
Important Dates
Mark your calendar for these key milestones
| Event | Date |
|---|---|
| Program Announcement | July 18, 2025 |
| First Date of Applications | July 26, 2025 |
| Last Date of Applications | August 21, 2025 |
| Fee Payment Deadline | 3 working days from application acceptance intimation |
| Last Date of Admission | August 22, 2025 |
| Orientation Session | August 23, 2025 |
| Program Start Date | August 25, 2025 |
| Program Completion | August 21, 2026 |
Frequently Asked Questions
Get answers to common questions about the program