Aspirants seeking admission to the program should meet the following criteria as
- A four-year undergraduate degree or its equivalent (or a postgraduate degree if the undergraduate degree is of three years) in the field of Engineering/Science/ Mathematics and Statistics with minimum 50 per cent or equivalent CGPA.
- A strong foundation in Mathematics, Statistics and Computer Science along with programming experience.
- Submit a valid CAT/GATE/GMAT/GRE score or appear for Jio Institute Entrance Test (JET).
- Preference shall be given to candidates with relevant experience
Course Highlights:
- In this one-year full-time residential programme students will embark on a journey that explores the fascinating realm of cutting-edge AI technologies that are reshaping industries, revolutionizing decision-making, and transforming the way we interact with data/information.
- The curriculum is comprehensive and rigorous that covers courses from the foundational to the advanced level by covering key concepts and technologies of Artificial Intelligence and Data Science (AI&DS).
- The various courses in the programme are taught by renowned research-oriented faculty and industry practitioners from India and from around the world to prepare students as future-ready full-stack data scientists and AI architects.
- The programme aims to instil strong theoretical foundations as well as the know-how to create practical solutions for enterprises and society.
- Students learn to convert business problems and workflows into AI&DS products and solutions across multiple verticals/industries enriched by exposure to real-life AI&DS applications through capstone projects as well as lectures from industry veterans.
- Throughout this programme, students are exposed to hands-on exercises, practical projects, and quizzes to reinforce their learning.
Mandatory Core & Foundation Courses
- Big Data Engineering
- Computer Vision
- Data Structures and Algorithms
- Data Visualization
- Databases & Data Warehouses
- Deep Learning
- Human Computer Interaction
- Introduction to Artificial Intelligence (AI)
- Introduction to Programming
- Machine Learning I & II
- Machine Learning Operations
- Natural Language Processing (NLP)
- Optimization
- Probability and Statistics for AI & DS
- Responsible AI
- Speech Processing
- Time Series Analysis
Advanced Learning Courses
- Advanced Topics in Big Data Engineering
- Advanced Topics in Machine Learning
- Computational Biology
- Deep Learning for Computer Vision
- Deep Learning for NLP
- Graph Theory & Network Thinking
- Quantum Computing
Fee Structure (INR):
Application Fee |
Particulars |
Amount |
GST |
Amount (incl. GST) |
Remarks |
Application Fee |
2,119 |
381 |
2,500 |
To be paid at the time of submission of online application form (Non-refundable) |
Programme Fee |
Particulars |
Components |
Amount |
GST |
Amount (incl. GST) |
Remarks |
Admission Fee |
- |
21,186 |
3,814 |
25,000 |
Payable on receipt of Provisional Admission Offer |
Fees for 1st and 2nd Quarter
|
Tuition Fee |
233,051 |
41,949 |
275,000 |
Payable on receipt of Final Admission Offer.
|
Hostel Charges |
72,054 |
8,646 |
80,700 |
Mess Fee |
66,000 |
3,300 |
69,300 |
Other Charges* |
31,780 |
5,720 |
37,500 |
Total Amount Payable as First Installment |
402,884 |
59,616 |
462,500 |
Fees for 3rd and 4th Quarter
|
Tuition Fee |
254,237 |
45,763 |
300,000 |
Payable at the start of Quarter 3
|
Hostel Charges |
72,054 |
8,646 |
80,700 |
Mess Fee |
66,000 |
3,300 |
69,300 |
Other Charges* |
31,780 |
5,720 |
37,500 |
Total Amount Payable as Second Installment |
424,070 |
63,429 |
487,500 |
Total Fee
|
848,140
|
126,859
|
975,000
|