“Predict tomorrow with the power of data.”
Educational Objective
This subject equips students with modern computational skills for analyzing large datasets and predicting outcomes. It serves as a bridge between mathematics, computer science, and social applications.
Focus Areas
Learners explore how data shapes decision-making, policy design, and business strategy through hands-on modeling and interpretation.
Expected Learning Outcomes
- Data analysis and machine learning foundations.
- Predictive modeling and pattern recognition.
- Forecasting, regression, and classification methods.
- Data ethics, bias, and digital responsibility.
- Capstone data project based on real datasets.
