find your perfect postgrad program
Search our Database of 30,000 Courses
University of Glasgow: Data Analytics
| Institution | University of Glasgow View institution profile |
|---|---|
| Department | School of Mathematics and Statistics |
| Web | glasgow.ac.uk |
| Telephone | 0141 330 4515 |
| Study type | Taught |
MSc
Summary
*We also offer a part-time online MSc in Data Analytics
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.
WHY THIS PROGRAMME
-
Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
-
The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
-
We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field.
-
The Masters in Data Analytics is accredited by the Royal Statistical Society.
-
This programme qualifies for the prestigious Data Lab Masters Scholarships, available for Scottish students.
PROGRAMME STRUCTURE
Students are required to take 10 compulsory taught courses and select 1 taught course from the optional courses in semester 2.
Semester 1 Core courses Probability (Level M) Regression Models (Level M) Statistical Inference (Level M) Database 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 (choose 1) 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)
CAREER PROSPECTS
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.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | 2.1 Hons (or non-UK equivalent) in a subject with a substantial mathematics component with at least 20% of credit bearing modules in University Level Mathematics at an average grade of pass. Note that the mathematics component must be at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow. |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
Summary
*We also offer a part-time online MSc in Data Analytics
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.
WHY THIS PROGRAMME
-
Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018, Linkedin.
-
We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field.
-
This programme qualifies for the prestigious Data Lab Masters Scholarships available for Scottish/EU students.
-
The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
-
Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
PROGRAMME STRUCTURE
Core Courses PROBABILITY (LEVEL M) STATISTICAL INFERENCE (LEVEL M) REGRESSION MODELS (LEVEL M) INTRODUCTION TO R PROGRAMMING (LEVEL M) PROGRAMMING AND SYSTEMS DEVELOPMENT (H) BAYESIAN STATISTICS (LEVEL M) ADVANCED PREDICTIVE MODELS BIG DATA ANALYTICS (LEVEL M) DATA ANALYSIS SKILLS (LEVEL M) DATA MINING
Optional Courses Choose 1 from: WEB SCIENCE (M) INFORMATION VISUALISATION (M)
Project One of: STATISTICS PROJECT AND DISSERTATION STATISTICS PROJECT AND DISSERTATION (WITH PLACEMENT)
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A first degree equivalent to a UK Upper Second Class Honours degree, normally 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). |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
The University of Glasgow is one of the UK’s most prestigious seats of learning, and the fourth oldest university in the English speaking world. Established in 1451 and recognised for its world-changing research and teaching, our people have always been at the forefront of innovation, including eight Nobel Laureates, two UK Prime Ministers, three First Ministers of Scotland, 10 Fellows of the Royal Society and 11 Fellows of the British Academy. Our past achievements inspire our current world changers.
Rankings
The University:
- is ranked 79th in the world: QS World University Rankings 2025
- is …
Not what you are looking for?
Browse other courses in Artificial intelligence or Data analysis, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here