Our non-residential, one-year program is designed for learners from all backgrounds, including those without prior experience in mathematics or programming. The curriculum ensures a smooth transition into the world of AI and data science, equipping students for both research and industry applications.
At JCDS, part of the prestigious O.P. Jindal Global University, we offer a transformative educational experience that prepares you to lead in AI and Data Science. Our Master’s program provides both foundational knowledge and advanced skills, ensuring graduates are ready for real-world challenges in an evolving digital landscape.
Dear Future Innovators,
Welcome to the Jindal Centre for Digital Sciences (JCDS), where the future of technology and data science unfolds. As the Director of JCDS, I am thrilled to introduce you to our pioneering MSc. programmes in Artificial/Algorithmic Intelligence and Data Analysis.In a world where data and technology are the cornerstones of innovation, our mission at JCDS is to provide you with an unparalleled educational experience that bridges the gap between theoretical knowledge and practical application. Our programmes are designed to equip you with the expertise needed to excel in the fast-evolving fields of Artificial intelligence and data analysis, preparing you to be at the forefront of the digital revolution.
The Master’s in Artificial Intelligence & Data Science is ideal for individuals from various backgrounds, bringing unique perspectives and goals:
With degrees in science, technology, engineering, and mathematics (STEM graduates) who want to specialize in data science and AI.
Looking to pivot into data science or AI-focused careers.
Wanting to incorporate AI into their ventures.
Looking to pursue research in data science, machine learning, and AI.
Enhancing their expertise in AI and data science for teaching.
Seeking interdisciplinary AI applications in their studies.
Course | Credits |
---|---|
Probability and Statistics for Data Science | 4 |
Linear Algebra for Data Science | 4 |
Python Programming for Data Science and Machine Learning | 4 |
Understanding Data and Data Visualisation | 4 |
Elective 1 | 4 |
Total Credits | 20 |
Course | Credits |
---|---|
Machine Learning Principles I | 4 |
Machine Learning Principles II - Neural Networks | 4 |
Generating Insights from Big Data | 4 |
Mastering Data Analytics, Visualisation, and Storytelling | 4 |
Elective 2 | 4 |
Total Credits | 20 |
Trimester | Course Name |
---|---|
Trimester 1 | Python for Data Science or Data Analysis Using SQL |
Trimester 2 | The elective not taken in Trimester 1 |
Trimester 3 | 2 of the remaining 6 courses |
# | Elective Name |
---|---|
1 | Data Storytelling |
2 | Python for Data Science |
3 | Advanced Machine Learning Algorithms |
4 | Human Decision Making and its Biases |
5 | Structured Approach to Problem Solving |
6 | Foundations of Machine Learning |
7 | Insights of Power BI |
Course | Credits |
---|---|
Elective 3 | 4 |
Elective 4 | 4 |
Research Dissertation/ Capstone Project | 12 |
Total Credits | 20 |
Fee | Amount | Due Date |
---|---|---|
Registration fee payable | INR 25,000 | To be paid upon the acceptance of the offer letter. |
Remaining fee payable | INR 2,75,000 | To be paid as per the fee structure given by the University. |
Total Cost | INR 3,00,000 | - |
WEEKEND ONLY CLASSES
Classes are scheduled exclusively on weekends, with sessions taking place on Saturdays from 6:00 PM to 10:00 PM and on Sundays from 9:00 AM to 6:00 PM.
Comprehensive Curriculum Designed for Future Leaders in AI & Data Science
Our curriculum is carefully structured to provide a strong foundation in both the theoretical and practical aspects of Artificial Intelligence and Data Science. The programme is divided into modules that build upon each other, ensuring a holistic understanding of the field.
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