Gain deep expertise in the theory and methods of statistical inference, probability, and data analysis.
Overview
Important dates
Courses cover probability theory and Bayesian statistics, as well as high-dimensional statistics, machine learning, and big data. This specialisation is relevant across every field where data needs to be understood rather than just processed. It focuses on modern statistical theory, probability, and data analysis. It offers an excellent foundation for roles in many industries, from healthcare to finance, technology, and logistics.
You can work with various topics such as:
• Statistical modelling and inference.
• Experimental design and data collection strategies.
• Analysis of large and complex datasets.
• Machine learning and predictive modelling.
You will gain advanced competence in statistical analysis, uncertainty quantification, data-driven decision-making, and predictive modelling.
Programmes
Mathematics, Statistics and Data Science, MSc
Requirements
The requirements for the Master's programme Mathematics, Statistics and Data Science apply to this specialisation.
How to select a specialisation
You may choose this specialisation after you have been admitted and enrolled. Only one specialisation can be selected.