This track is designed for students to gain experience in modelling, analysing, and solving complex decision-making situations. The track is suitable for careers in the emerging field of data-driven decision making, using tools and techniques in both the descriptive domain (statistics and predictive analytics) and the prescriptive domain (optimisation and reinforcement learning). Understanding multi-player behaviours (social network evolution and game theory) is also valuable when developing such applications as energy pricing systems, trading platforms, and resource-sharing systems.

Required Courses