MSc Stochastic Modelling & Computational Data Science
Our MSc programme starting in 2019/20 features two streams:
Computational Data Science and Engineering
For students interested in the computational aspects of data science and in-depth analysis of its engineering application, from computational imaging, to robotics, and telecommunications.
Semester 1
- Statistical Machine Learning
- Statistical Models
- Information Theory and Communications
- Sampling and Computational Imaging
Semester 2
- Bayesian Inference and Computation Methods
- Scalable Inference and Deep Learning
- Multi-Disciplinary Group Project
- Critical Analysis and Research Preparation
Stochastic Modelling and Data Science
For students interested in the statistical foundation of data science with examples of its applications in actuarial science, climate science, financial mathematics, energy and engineering.
Semester 1
- Statistical Machine Learning
- Statistical Models
- Probabilistic Methods
- Application Targeted Optional Course
Semester 2
- Bayesian Inference and Computation Methods
- Statistical Models
- Research and Industry Topics
- Application Targeted Optional Course
For more information, visit the official Heriot-Watt page.