About the Program

The Master’s in Artificial Intelligence and Data Science from O.P. Jindal Global University is designed to equip the next generation of tech leaders with advanced knowledge in AI and data analytics. The curriculum is crafted and delivered by esteemed faculty through a blend of recorded lectures and live sessions, focusing on real-world applications.

  • Acquire a diverse range of skills in AI and Data Science with experiential projects.
  • Specialize in areas such as Machine Learning, Deep Learning, Big Data Analytics, and more.
  • Understand complex data-driven domains both tactically and strategically.
  • Develop problem-solving skills tailored to AI and data challenges.
  • Utilize advanced analytics tools to drive better decision-making.

Programme Overview

Degree: Master’s in Artificial Intelligence and Data Science from the prestigious O.P. Jindal Global University (JGU), internationally ranked and nationally recognized as an Institution of Eminence

Skill Development: Gain expertise to jumpstart your career and position yourself for future tech roles

Alumni Network: Become a JGU alumnus and benefit from ongoing engagement and networking opportunities across academia, policy, and industry

Key Highlights Of Programme

cohort based model

Course Structure

Duration: 12 months divided into 3 trimesters.
Credits: Total of 60 credits.
Trimester Breakdown:
Trimester 1: Core foundational courses.
Trimester 2: Advanced AI and data science courses.
Trimester 3: Specialization courses and capstone project.
Learning Approach: Each course includes recorded content complemented by live sessions focusing on case studies and applications.

degree nomenclature

Skills you’ll acquire

Data Science
Machine Learning
Deep Learning
Big Data Analytics
Natural Language Processing
Computer Vision
Advanced AI

assesament structure

Degree Nomenclature

Graduates will be awarded a Master’s in Artificial Intelligence and Data Science degree with an additional certificate from Microsoft

assesament structure
course structure

Assessment Structure

Assessments include:
Independent research projects
Presentations
Report writing
Capstone simulation

course structure

Eligibility Criteria

Educational Qualification: Bachelor’s degree in any discipline from a recognized university.

Entrance Examination:

Candidates with a graduation score above 50% are exempted from the entrance exam. Candidates with less than 50% must take a 30-minute online entrance exam. The test link is provided after application submission.

Programme Curriculum

3 terms - 20 credits each - 1 Year Program

Sr No. Subject Credits
1 Mastering the Building Blocks of Data Science - Probability and Statistics 4
2 Mastering the Building Blocks of Machine Learning - Linear Algebra 4
3 Building Expertise in Python Programming for Data Science and Machine Learning 4
4 Generating Meaningful Insights in Data 4
5 Building Familiarity with Universal Python Libraries for Data Science and Machine Learning 4
6 Complementary Microsoft Course - 1

Sr No. Subject Credits
1 Unravelling Machine Learning Fundamentals 4
2 Demystifying Deep Learning and its Applications 4
3 Conducting Analytics at Large Scale on Big Data 4
4 Building Familiarity with Popular Analytics Tools such as Excel, Power BI, and Tableau 4
5 Mastering the Structured Management of Databases 4
6 Complementary Microsoft Course - 2

Sr No. Subject Credits
1 Mastering Classical Machine Learning Models 4
2 Building Familiarity with Modern ML & AI Technologies for Businesses 4
3 Complementary Microsoft Course - 3
4 Business Domain Based Capstone Project 12

Programme Fee

Total Fees : ₹2,75,000 (inclusive of all taxes)

Key Highlights:
  • Pay ₹10,000 to block your seat.
  • 12 Months No Cost EMI Also Available
  • Certificate of completion for complimentary Microsoft courses

Disclaimer : We suggest learners invest an additional $20 for Gen AI tools subscription alongside the program fee for modules featuring Gen AI

who should enroll

Who Should Enroll

  • Individuals aiming to develop advanced AI and Data Science skills.
  • Professionals seeking to transition into tech-driven roles.
  • Candidates looking to enhance their career opportunities with a specialized master’s degree.
  • Those interested in understanding and applying AI solutions across various industries.
who should enroll

Faculty Profiles

Admission Procedure

admission procedure

Frequently Asked Questions (FAQ)


Individuals aiming to develop advanced AI and Data Science skills, professionals seeking to transition into tech-driven roles, candidates looking to enhance their career opportunities with a specialized master’s degree, and those interested in understanding and applying AI solutions across various industries.


- Bachelor’s degree in any discipline with minimum 50% aggregate score from a recognized university.

- Candidates with less than 50% must take a 30-minute online entrance exam. The test link is provided after application submission.


Application Submission: Fill out the online application form.

Entrance Examination: If applicable, take the 30-minute online entrance exam.

Shortlisting: Candidates are shortlisted based on eligibility and entrance exam scores.

Seat Blocking: Pay the seat-blocking fee upon selection.


Post successful completion of this programme, graduates will be awarded a Master’s in Artificial Intelligence and Data Science degree with an additional certificate from Microsoft.