This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.
2.1 Hons (or non-UK equivalent) in a degree with a substantial Mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow) with at least 20% of credit bearing modules in 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
Core courses:
Biostatistics (Level M)
Probability (Level M)
Regression Models (Level M)
Statistical Inference (Level M)
Introduction to statistical programming in R and Python
Semester 2
Core courses:
Bayesian Statistics (Level M)
Data Analysis Skills (Level M)
Data Mining and Machine Learning
Advanced Predictive Models
Optional courses:
Design of Experiments (Level M)
Environmental and Ecological Statistics (Level M)
Functional Data Analysis (Level M)
Spatial Statistics (Level M)
Statistical Genetics (Level M)
Time Series (Level M)
Project (summer):
Statistics Project and Dissertation
A history of securing bright futures. The University of Glasgow established in 1451 is the fourth-oldest university in the English-speaking world, and...