UGC-Entitled Masters Degree Program

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.

8 Terms
In 2-4 years
2 - 4 Years
Self-paced
₹ 4 Lakhs*
SAARC | International
6000 | 12000 USD
80 Credits
16 courses

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
Applications Closed on October 13th, 2025

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.

Term 1
Year 1, Term 1
10 Credits

Foundation Courses

Math for Data Science I: Basics
5 Credits • Core
Python Core and Applied Concepts for Reliable Data Science Workflows
5 Credits • Core
Term 2
Year 1, Term 2
10 Credits

Data Structures & Systems

Data Structures and Algorithms
5 Credits • Core
Computer Systems
5 Credits • Core
Term 3
Year 1, Term 3
10 Credits

Database & Software Systems

Database Management Systems
5 Credits • Core
Software Systems
5 Credits • Core
Term 4
Year 1, Term 4
10 Credits

Advanced Algorithms & AI

Algorithm Analysis and Design
5 Credits • Core
Statistical Methods in AI
5 Credits • Core
Term 5
Year 2, Term 1
10 Credits

Data Analytics & Advanced Math

Data Analytics
5 Credits • Core
Maths of Data Science II: Advanced Topics
5 Credits • Core
Term 6
Year 2, Term 2
10 Credits

Optimization & First Elective

Optimization Methods
5 Credits • Core
Data Science Elective 1
5 Credits • Elective
Term 7
Year 2, Term 3
10 Credits

Specialization Electives

Data Science Elective 2
5 Credits • Elective
Data Science Elective 3
5 Credits • Elective
Term 8
Year 2, Term 4
10 Credits

Final Specializations

Data Science Elective 4
5 Credits • Elective
Data Science Elective 5
5 Credits • Elective

Electives

You may choose 5 electives from the following elective courses to customize your learning path based on your career goals and interests.

Computer Vision
Reinforcement Learning
Generative Models
Spatial Informatics
Introduction to NLP
Algorithms for Data Science
Speech Signal Processing
Data Visualization
Human-Computer Interaction for Data Science

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).

The final decision for admission rests with the IIIT Hyderabad admissions committee.

Program Faculty

Prof. Suryajith Chillara portrait

Prof. Suryajith Chillara

Assistant Professor, Ph.D (Chennai Mathematical Institute)

Research: Computational Complexity Theory, and Algorithmic Coding Theory.

Prof. Girish Varma portrait

Prof. Girish Varma

Assistant Professor, Ph.D (TIFR Mumbai)

Research: Complexity Theory, Combinatorics, Computer Vision, Machine Learning

Prof. Abhishek Kr Singh portrait

Prof. Abhishek Kr Singh

Assistant Professor Ph.D (TIFR, Mumbai)

Research: Formal methods, Programming languages, Software engineering, and Trustworthy AI.

Prof. Kishore Kothapalli portrait

Prof. Kishore Kothapalli

Professor, Dean Academics, Ph.D (John Hopkins University)

Research: Multicore and many core algorithms, distributed algorithms

Prof. Vikram Pudi portrait

Prof. Vikram Pudi

Professor, Ph.D (IISc Bangalore)

Research: Data mining, artificial intelligence, database systems

Prof. Ankit Gangwal portrait

Prof. Ankit Gangwal

Assistant Professor, Ph.D (University of Padua)

Research: Blockchain, Cryptography, Privacy, and Security

Prof. Karthik Vaidhyanathan portrait

Prof. Karthik Vaidhyanathan

Assistant Professor, Ph.D (Gran Sasso Science Institute, Italy)

Research: Software Architecture, Self-adaptive systems, SE4AI, AI4SE

Prof. Tejas Bodas portrait

Prof. Tejas Bodas

Assistant Professor, Ph.D (IIT Bombay)

Research: Operations research, Machine learning, Optimization

Prof. Kshitij Gajjar portrait

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)PolicyIndian (excl. GST)Indian (incl. GST)SAARCInternational
Admission Fee (A)Pay when accepting admission (deductible from tuition fee)₹25,000₹29,500USD 375USD 750
Tuition Fee (T8)Pay for next 8 terms₹4,00,000₹4,72,000USD 6,000USD 12,000
Tuition Fee (T4)Pay for next 4 terms₹2,20,000₹2,59,600USD 3,300USD 6,600
Tuition Fee (T2)Pay for next 2 terms₹1,15,000₹1,35,700USD 1,725USD 2,450
Tuition Fee (T1)Pay for next 1 term₹60,000₹70,800USD 900USD 1,800
GST (18%) is applicable for all fees for Indian Nationals

Programme Status Fees

Program status fee accrues each term for which a student is not enrolled

Number of Un-enrolled Contiguous TermsIndian (excl. GST)Indian (incl. GST)SAARCInternational
1-4₹2,000₹2,360USD 30USD 60
5-8₹3,000₹3,540USD 45USD 90
9-12₹4,000₹4,720USD 60USD 120
13-16₹5,000₹5,900USD 75USD 150

Re-exam & Assignment Re-submission Fees

Fee TypePolicyIndian (excl. GST)Indian (incl. GST)SAARC (USD)International (USD)
Re-Exam (E)Pay before taking the exam₹2,500₹2,950USD 40USD 80
Assignment Re-submission (H) Pay before submitting the assignment₹1,000₹1,180USD 20USD 40

SAARC countries include: Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, Pakistan, and Sri Lanka.

Refund Policy

TimelineRefund %
On or before 29th September 2025100%
30th September 2025 - 14th October 202590%
15th October 2025 - 29th October 202580%
30th October 2025 - 13th November 202550%
From 14th November 2025No 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

EventDate
Program Announcement8-Sep-25
Applications Open15-Sep-25
Applications Close14-Oct-25, 5 PM IST
Admission Fee Payment Deadline14-Oct-25
Last Date of Admission14-Oct-25
Orientation Session1-Nov-25
1st Term Start Date3-Nov-25

How to Apply

3 Simple Steps

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.

Accreditations & Rankings

IIIT Hyderabad and its programs are recognized and accredited by top national and international bodies, ensuring the highest standards of quality and credibility.

NAAC A++ logo NAAC A++
UGC Entitled logo UGC Entitled
AICTE logo AICTE
NIRF logo NIRF
IIIT Hyderabad logo IIIT Hyderabad
UGC Entitled | NAAC A++ | NIRF Ranked | AICTE Approved

Frequently Asked Questions

Find answers to the most common queries about the IIITH Online M.Sc. in Data Science.

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