Masters Compare - Find your perfect masters course.
Masters Compare - Find your perfect masters course.
Study Details: 12 months full-time, 24 months part-time
The MSc Data Analytics is designed to create rounded data analytics problem-solvers.
The course focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates.
You'll gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.
The degree is unique by bringing together essential skills from three departments across the University in order to address the needs of a fast-growing industry. It's jointly delivered by:
Department of Management Science
Department of Mathematics & Statistics
Department of Computer & Information Sciences
MSc: Minimum second class Honours degree, or overseas equivalent (see our country pages for further information) in:
mathematics
the natural sciences
engineering
economics/finance
Applications from those with other degrees are also encouraged if you have demonstrated a good grasp of numerical/quantitative subjects.
The aim of the course is to develop graduates who can use data analytics technology, understand the statistical principles behind the technologies and understand how to apply these technologies to solve business problems.
Graduates will be able to bridge the various knowledge domains that are relevant for tackling data analytics problems as well as being able to identify emerging themes and directions within data analytics.
Graduates will display abilities across the three component disciplines. Examples of graduate employers and job roles include:
Software Development Engineer - Machine Learning at RBS
Junior Data Scientist at V.Group
Data Scientist at Solita Scandinavia
Business Analyst at Scottish Power
IT Graduate at Scottish Power
Core modules:
Big Data Fundamentals
Foundations of Statistics (10 Credits)
Data Analytics in R
Business & Decision Modelling
Optimisation for Analytics
Data Analytics in Practice
Optional modules:
Database Fundamentals
Evolutionary Computation for Finance 1
Evolutionary Computation for Finance 2
Legal, Ethical & Professional Issues for the Information Society
Fundamentals of Machine Learning for Data Analytics (10 credits)
Machine Learning for Data Analytics
Financial Econometrics
Bayesian Spatial Statistics (20 credits)
Statistical Machine Learning (10 Credits)
Data Dashboards with R Shiny (10 Credits)
Stochastic Modelling for Analytics
Business Simulation Modelling
Risk Analysis & Management
Business Information Systems
The place of useful learning The University of Strathclyde is a leading international technological university located in the heart of Glasgow – one ...
Mon 16 Mar 2026