MSc Advanced Statistics

2.1 Hons (or non-UK equivalent) in A degree with substantial Mathematics and Statistics components with at least 20 credit bearing modules in Statistics and University Level Mathematics at an average grade of pass.

Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. This programme opens up a multitude of career opportunities and/or boosts your career trajectory.

Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD. Recent graduates have been employed by Lloyds Banking Group, Equifax, Kohler, Moodys and Globality.

Semester 1
Optional courses:

Advanced Bayesian Methods (Level M)
Biostatistics (Level M)
Flexible Regression (Level M)
Linear Mixed Models (Level M)
Multivariate Methods (Level M)
Principles of Probability and Statistics (Level M)
Stochastic Processes (Level M)
Introduction to statistical programming in R and Python

Semester 2
Core courses:

Data Analysis Skills (Level M)

Optional courses:

Bayesian Statistics (Level M)
Design of Experiments (Level M)
Environmental and Ecological Statistics (Level M)
Functional Data Analysis (Level M)
Spatial Statistics (Level M)
Statistical Genetics (Level M)
Advanced Predictive Models

Project (summer):

Advanced Statistics Project and Dissertation