Post Graduate Programme in Artificial Intelligence & Data Science From Jio Institute, Navi Mumbai

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

1. Big Data Engineering
2. Computer Vision
3. Data Structures and Algorithms
4. Data Visualization
5. Databases & Data Warehouses
6. Deep Learning
7. Human Computer Interaction
8. Introduction to Artificial Intelligence (AI)
9. Introduction to Programming
10. Machine Learning I & II
11. Machine Learning Operations
12. Natural Language Processing (NLP)
13. Optimization
14. Probability and Statistics for AI & DS
15. Responsible AI
16. Speech Processing
17. Time Series Analysis

Advanced Learning Courses

1. Advanced Topics in Big Data Engineering
2. Advanced Topics in Machine Learning
3. Computational Biology
4. Deep Learning for Computer Vision
5. Deep Learning for NLP
6. Graph Theory & Network Thinking
7. Quantum Computing

Fee Structure (INR):