BSc Data Sciences
Semester I |
Semester II |
Semester III |
Semester IV |
Semester V |
Semester VI |
Semester VII |
Semester VIII |
| Programming 1 | Statistical Inference | Stochastic Processes | Machine Learning | Time Series and Forecasting | Foundations of AI | Reinforcement Learning, Deep Learning | Sampling Design and Design of Experiments /Capstone |
| Probability | Programming 2 | Data Structures Numerical Methods and Algorithms | Data Dashboards and Storytelling | Corporate Finance | Elective | Gen AI and Agentic AI | Nonlinear and Dynamic Programming / Capstone |
| Linear Algebra | Linear and Integer Programming | Data Mining and Decision Trees | Econometrics 2 | Operations Management | Behavioral Economics | Building the New Venture | Valuation |
| Calculus | Differential and Difference Equations | Econometrics 1 | Microeconomics 1 | Elective | Game Theory | Managerial Decision Making | Investments |
| Professional Communication 1 | Technical Writing 1 | Professional Communication 2 | Technical Writing 2 | Environmental Science | Macroeconomics 1 | Digital Literacy, DM Dev | Elective |
| Sports/Yoga | Critical thinking, Logic | Foundations of Management 1 | Understanding India & Economy | Human Behaviour & Psychology | Indian Constitution Law | Personal Finance | International Religion |
| Foundations of Management 2 | Ethics and Value | ||||||
| Potential Electives(Data Sciences) |
Quantitative Risk Management, Supply Chain Optimization, Combinatorial Optimization, Big Data Computing, Stochastic Differential Equations, Nonlinear and Non-parametric Regression |
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