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Fees Details
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Course Details
The Master of Science (MSc) in Data Science at IIIT Hyderabad is a two-year online master’s degree programme. Offered through the Division of Flexible Learning, the programme is designed to equip learners with strong research foundations and real-world applications in Artificial Intelligence and Data Science.
Delivered in an online, flexible, and self-paced format, online MSc Data Science at IIIT Hyderabad allows students to complete the degree in two-four years, depending on their pace. The programme is apt for working professionals and graduates who seek careers such as Data Scientist, ML Engineer, AI Specialist, and Data Analyst.
Programme Offerings
- UGC-entitled degree programme
- 8 Terms
- Flexible completion schedule
- Rigorous theory and application
- Live online tutorial sessions
- Self-paced learning
- Proctored online exams
Eligibility Criteria
To be eligible for the IIIT Hyderabad Online MSc Data Science programme, candidates must meet the following requirements:
A Bachelor’s degree in Basic Science, Technology, Engineering, Social Sciences, Commerce, or Business.
Must have completed a basic course in programming and mathematics (calculus, linear algebra, and probability theory).
Admission Details
Candidates interested in pursuing the IIIT Hyderabad Online MSc in Data Science programme can apply for admission online. They need to follow all the instructions to submit their application online. There is no entrance test or interview. The final decision for admission rests with the IIIT Hyderabad admissions committee.
Application Details
Here is the step-by-step process for admission to IIIT Hyderabad Online MSc Data Science:
Visit the official website - dfl.iiit.ac.in/programs/degree/msc/ds
Create an account on the official admission portal to Sign Up
Fill and submit the online application form
After approval, pay the admission fee online to confirm your seat
The Syllabus
The Online MSc Data Science syllabus at IIIT Hyderabad is structured across eight terms over two years. The curriculum covers credit-based courses and elective specialisations. Students can choose five electives from the elective courses based on their career goals and interests. The detailed IIIT Hyderabad Online MSc Data Science syllabus is given below:
Term 1: Foundation Courses
Math for Data Science I: Basics
Python Core and Applied Concepts for Reliable Data Science Workflows
Term 2: Data Structures & Systems
Data Structures and Algorithms
Computer Systems
Term 3: Database & Software Systems
Database Management Systems
Software Systems
Term 4: Advanced Algorithms & AI
Algorithm Analysis and Design
Statistical Methods in AI
Term 5: Data Analytics & Advanced Math
Data Analytics
Maths of Data Science II: Advanced Topics
Term 6: Optimization & First Elective
Optimization Methods
Data Science Elective 1
Term 7: Specialization Electives
Data Science Elective 2
Data Science Elective 3
Term 8: Final Specializations
Data Science Elective 4
Data Science Elective 5
Electives
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
Evaluation Process
The Division of Flexible Learning, IIIT Hyderabad conducts online, proctored examinations for Online MSc Data Science students. Exams are offered multiple times per year. Students must score an average 60 percent in course assignments and minimum 40 percent score in final examination.
IIIT Hyderabad Frequently Asked Questions (FAQ's)
Online MSc in Data Science at IIIT Hyderabad is a UGC-entitled degree.
Students must complete 80 credits across 16 courses to successfully complete the programme.
The IIIT Hyderabad MSc in Data Science programme can be completed in two-four years, depending on students’ pace.
No, there is no entrance exam. The final decision for admission is done by the IIIT Hyderabad admissions committee.
Classes for the IIIT Hyderabad MSc Data Science programme are delivered via live online tutorial sessions with IIIT faculty, instructors, or industry experts.