Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year full time, 2 years part time
This programme trains the next generation of statisticians to become expert data scientists with knowledge and experience of well-established methodologies and recent advances. The syllabus combines rigorous statistical theory with hands-on practical experience applying statistical models to data from various application areas.
These entry requirements are for the 2026-27 academic year and requirements for future academic years may differ. Entry requirements for the 2027-28 academic year will be published on 1 Oct 2026.
A UK 2:1 degree, or its international equivalent, in a numerate discipline such as mathematics, engineering, computer science, physical or biological sciences, economics or business.
Your degree must have included substantial mathematics content, including calculus (including calculus of several variables), linear algebra, probability, statistics and statistical theory. Detailed information is available from the School of Mathematics website.
You can increase your chances of a successful application by exceeding the minimum programme requirements.
International qualifications
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Compulsory courses have previously included:
Bayesian Data Analysis
Bayesian Theory
Design and Sampling for Data Science
Extended Statistical Programming
Generalised Regression Models
Statistical Research Skills
Option courses
Optional courses have previously included:
Applied Machine Learning*
Biostatistics
Credit Scoring
Fundamentals of Operational Research
Fundamentals of Optimization
Incomplete Data Analysis
Large Scale Optimization for Data Science
Machine Learning in Python
Methods for Causal Inference*
Multivariate Data Analysis
Nonlinear Optimization
Python Programming
Simulation
Statistical Methodology
Stochastic Modelling
Targeted Causal Learning
Text Technologies for Data Science*
Theory of Statistical Inference
Time Series
*delivered by the School of Informatics
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