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Foundational Coursework and Lab work in Statistics, Mathematics and Programming
Gaining expertise in implementing AI-ML solutions in practical scenarios
Concepts of ideation, problem-solving, product, and software design practices
Ideation to Pitch; Learn to build an entrepreneurial venture
Applying data science techniques to solve practical, real-world problems using real data sources
Cultivate leadership skills, fostering self-discovery and innovation mindset
| Introduction to Data Engineering and Data Science | Dr. Subhasis Ray |
Credits: 1
| Probability and Statistics for AI and Data Science | Dr. Nandini Kannan |
Credits: 1
| Foundations of Leadership | Dr. Dwight Jaggard |
Credits: 2
| Python Fundamentals: An Introduction to Programming | Raghav Awasty |
Credits: 1
| Data Science Lab - 1 | Dr. Srikant Srinivasan |
Credits: 1
| Data Structures and Algorithms | Dr. Sandeep Manjanna |
Credits: 1
| Mathematics for AI | Dr. Vivek Deulkar and Dr. Shashikant Pawar |
Credits: 1
| Data Mining and Advanced Data Analysis | Dr. Subhasis Ray |
Credits: 1
| Data Science Lab - 2 | Raghav Awasty |
Credits: 1
| Introduction to Artificial Intelligence | Dr. Deepak Khemani |
Credits: 1
| Fundamentals of Machine Learning | Dr. Siddharth S |
Credits: 3
| Design Thinking for Data Science & Artificial Intelligence | Dr. Jitesh Panchal |
Credits: 2
| Human Computer Interaction | Dr. Sudheendra Hangal |
Credits: 1
| Projects and Applications of Data Science | Prof. Alexander Fred Ojala |
Credits: 1.5
| Entrepreneurial Challenge Lab | Mark Searle |
Credits: 4
| Design Thinking for Data Driven Products | Dr. Sebastien Foucaud |
Credits: 1
| Designing our Lives | Dr. Rachel Dzombak |
Credits: 1
