Online Masters of Science Degree in
Data Science
At IIIT Hyderabad, the MSc in Data Science program combines deep research foundations with real-world applications in AI and Data Science, preparing you for future opportunities.
6000 | 12000 USD
Program Outcomes
- Master both theoretical foundations and practical applications in Data Science
- Acquire proficiency in Machine Learning, Statistical Analysis and AI techniques
- Experience with industry-standard tools: Python, Jupyter, GitHub and cloud platforms
- Work with real-world datasets and case studies and build practical solutions
- Prepare yourself for in-demand roles like Data Scientist, ML Engineer, AI Specialist, and Data Analyst
Why This Program?
Degree from one of India's Leading Universities
Receive a degree certificate from one of India's leading research universities.
Skills recognized by Industry
Gain skills that are in high demand across various tech industries and startups.
Flexible completion schedule
Plan your own pace to finish your degree in upto 4 years.
Rigorous theory and application
Master both theoretical computer science concepts and practical AI applications.
Live online tutorial sessions
Engage in direct Q&A sessions with IIITH Faculty, Instructors or Industry Experts.
Online forum and TA office hours for peer learning
Engage in collaborative learning with fellow students through online forum and TA office hours.
Remote, Self-Paced and Flexible
Normal Pace
2 Courses per Term
You may complete the program in 2 years following the standard term-wise mapping with 4 terms annually...
Self-Paced Learning
Flexible Timeline
.. or study at your own pace while ensuring all 16 courses are completed within the 4-year maximum duration.
Proctored Online Exams
Secure & Convenient
All exams are proctored and conducted online, offered multiple times per year to accommodate different schedules.
Multiple Exam Attempts
Improve Your Grades
Retake final exams till you clear courses or improve grades with additional fees.
Homework Requirements
- Complete all assigned homework with minimum 60% total score before taking final exam
- No deadline for homework submission - work at your own pace
- Resubmit assignments anytime to improve scores
Course Completion
- Average 60% in course assignments
- Minimum 40% score in final exam
- Complete all prerequisite courses before taking a course
Program Curriculum
Note: Actual topics and activities might differ slightly based on instructor preferences and pedagogical requirements.
Foundation Courses
Data Structures & Systems
Database & Software Systems
Advanced Algorithms & AI
Data Analytics & Advanced Math
Optimization & First Elective
Specialization Electives
Final Specializations
Electives
You may choose 5 electives from the following elective courses to customize your learning path based on your career goals and interests.
Note: Additional elective courses may be added as and when available.
Eligibility Criteria
Who can apply?
Anyone with a Bachelor's degree in Basic Science, Technology, Engineering, Social Sciences, Commerce or Business.
Prerequisites
Completed basic course in programming and mathematics (calculus, linear algebra and probability theory).
Program Faculty

Prof. Suryajith Chillara
Assistant Professor, Ph.D (Chennai Mathematical Institute)
Research: Computational Complexity Theory, and Algorithmic Coding Theory.

Prof. Girish Varma
Assistant Professor, Ph.D (TIFR Mumbai)
Research: Complexity Theory, Combinatorics, Computer Vision, Machine Learning

Prof. Abhishek Kr Singh
Assistant Professor Ph.D (TIFR, Mumbai)
Research: Formal methods, Programming languages, Software engineering, and Trustworthy AI.

Prof. Kishore Kothapalli
Professor, Dean Academics, Ph.D (John Hopkins University)
Research: Multicore and many core algorithms, distributed algorithms

Prof. Vikram Pudi
Professor, Ph.D (IISc Bangalore)
Research: Data mining, artificial intelligence, database systems

Prof. Ankit Gangwal
Assistant Professor, Ph.D (University of Padua)
Research: Blockchain, Cryptography, Privacy, and Security

Prof. Karthik Vaidhyanathan
Assistant Professor, Ph.D (Gran Sasso Science Institute, Italy)
Research: Software Architecture, Self-adaptive systems, SE4AI, AI4SE

Prof. Tejas Bodas
Assistant Professor, Ph.D (IIT Bombay)
Research: Operations research, Machine learning, Optimization

Prof. Kshitij Gajjar
Assistant Professor Ph.D (TIFR, Mumbai)
Research: Algorithms, graph theory, complexity, combinatorics
Program Fee Structure
Transparent and competitive fee structure for the complete program
Fee Type (Mnemonic) | Policy | Indian (excl. GST) | Indian (incl. GST) | SAARC | International |
---|---|---|---|---|---|
Admission Fee (A) | Pay when accepting admission (deductible from tuition fee) | ₹25,000 | ₹29,500 | USD 375 | USD 750 |
Tuition Fee (T8) | Pay for next 8 terms | ₹4,00,000 | ₹4,72,000 | USD 6,000 | USD 12,000 |
Tuition Fee (T4) | Pay for next 4 terms | ₹2,20,000 | ₹2,59,600 | USD 3,300 | USD 6,600 |
Tuition Fee (T2) | Pay for next 2 terms | ₹1,15,000 | ₹1,35,700 | USD 1,725 | USD 2,450 |
Tuition Fee (T1) | Pay for next 1 term | ₹60,000 | ₹70,800 | USD 900 | USD 1,800 |
Programme Status Fees
Program status fee accrues each term for which a student is not enrolled
Number of Un-enrolled Contiguous Terms | Indian (excl. GST) | Indian (incl. GST) | SAARC | International |
---|---|---|---|---|
1-4 | ₹2,000 | ₹2,360 | USD 30 | USD 60 |
5-8 | ₹3,000 | ₹3,540 | USD 45 | USD 90 |
9-12 | ₹4,000 | ₹4,720 | USD 60 | USD 120 |
13-16 | ₹5,000 | ₹5,900 | USD 75 | USD 150 |
Re-exam & Assignment Re-submission Fees
Fee Type | Policy | Indian (excl. GST) | Indian (incl. GST) | SAARC (USD) | International (USD) |
---|---|---|---|---|---|
Re-Exam (E) | Pay before taking the exam | ₹2,500 | ₹2,950 | USD 40 | USD 80 |
Assignment Re-submission (H) | Pay before submitting the assignment | ₹1,000 | ₹1,180 | USD 20 | USD 40 |
SAARC countries include: Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, Pakistan, and Sri Lanka.
Refund Policy
Timeline | Refund % |
---|---|
On or before 29th September 2025 | 100% |
30th September 2025 - 14th October 2025 | 90% |
15th October 2025 - 29th October 2025 | 80% |
30th October 2025 - 13th November 2025 | 50% |
From 14th November 2025 | No refund |
Processing fee: ₹1,000 for Indian, 25 USD for SAARC and 50 USD for International Students for all refunds
Important Dates
Mark your calendar for these key milestones
Event | Date |
---|---|
Program Announcement | 8-Sep-25 |
Applications Open | 15-Sep-25 |
Applications Close | 14-Oct-25, 5 PM IST |
Admission Fee Payment Deadline | 14-Oct-25 |
Last Date of Admission | 14-Oct-25 |
Orientation Session | 1-Nov-25 |
1st Term Start Date | 3-Nov-25 |
How to Apply
Step 1
Sign Up
Visit sign up page and create your account.
Step 2
Submit Application
Visit application site, complete form and submit.
Step 3
Pay Admission Fee
After your application is approved, visit payment website and pay fees.
Frequently Asked Questions
Find answers to the most common queries about the IIITH Online M.Sc. in Data Science.
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