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.
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
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.
Data Science
Machine Learning
Deep Learning
Big Data Analytics
Natural Language Processing
Computer Vision
Advanced AI
Graduates will be awarded a Master’s in Artificial Intelligence and Data Science degree with an additional certificate from Microsoft
Assessments include:
Independent research projects
Presentations
Report writing
Capstone simulation
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.
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)
Disclaimer : We suggest learners invest an additional $20 for Gen AI tools subscription alongside the program fee for modules featuring Gen AI
Associate Professor & Associate Director
With a Ph.D. and M.S. from the University of Houston, Professor (Dr.) Akshay Agrawal specializes in Numerical Methods, and Mathematical Modelling.
Associate Professor & Associate Director
Professor (Dr.) Jitendra has earned his Ph.D. in Pure Mathematics from the University of Waterloo and the University of Houston.
Assistant Professor & Assistant Director
Professor (Dr.) Jatin Anand is a distinguished mathematician with over 12 years of experience, and has earned his Ph.D. from the University of Delhi.
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.