Teaching

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.