Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 12 months full-time
Data is becoming an ever increasing part of modern life, yet the talent to extract information and value from complex data is scarce. This Masters will provide you with a thorough grounding in state-of-the art methods for learning from data, both in terms of statistical modelling and computation. You will also gain practical hands-on experience in carrying out various data-driven analytical projects. Previous study of Statistics or Computing Science is not required.
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.
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.
Semester 1
Core courses:
Probability (Level M)
Regression Models (Level M)
Statistical Inference (Level M)
Databases and Data Analytics (M)
Introduction to statistical programming in R and Python
Semester 2
Core courses:
Advanced Predictive Models
Bayesian Statistics (Level M)
Big Data Analytics (Level M)
Data Analysis Skills (Level M)
Data Mining and Machine Learning
Optional courses:
Information Visualisation (M)
Environmental and Ecological Statistics (Level M)
Spatial Statistics (Level M)
Statistical Genetics (Level M)
Functional Data Analysis (Level M)
Design of Experiments (Level M)
Project (summer)
One of:
Statistics Project and Dissertation
Statistics Project and Dissertation (with Placement)
A history of securing bright futures. The University of Glasgow established in 1451 is the fourth-oldest university in the English-speaking world, and...
