Probability & Statistics​

Probability & Statistics focuses on the study of randomness, uncertainty, and data-driven reasoning. This area covers fundamental concepts such as probability theory, statistical inference, stochastic processes, data analysis, and computational statistics. Students are equipped with analytical tools to model real-world phenomena, interpret data, and draw reliable conclusions, forming a strong foundation for both theoretical exploration and applied research.

In this area, learners develop skills relevant to a wide range of fields, including finance, economics, engineering, public policy, and scientific research. Through coursework, practical projects, and research opportunities, students gain experience in designing experiments, analyzing datasets, and building predictive models. This specialization prepares graduates to contribute effectively in data-intensive environments and adapt to emerging challenges in the era of big data and decision science.