Program Overview

Mathematics and data science are closely connected. Data science methodologies are built on mathematical principles. Understanding them is crucial for aspiring data scientists (source: Institute of Data 2023).

The demand for graduates in this field is growing rapidly fuelled by advances in technology and the increasing importance of data (Data Science Jobs, 2025). Employers seek individuals with computing skills to manage data and mathematical skills to analyse it. This involves identifying patterns, building models, and making predictions.

Our Masters degree in Mathematics and Data Science  emphasises the practical application of mathematics for data science. You’ll develop skills that are highly sought after in the data industry.

Gain practical maths and data science experience

On our Mathematics and Data Science MSc, you get the opportunity to work with academics on  commercially relevant research projects. You can also take part in projects with industry or technology providers. Past projects include:

• Intergen: Data driven forecasting of UK electricity market imbalances
• Natwest: Building enterprise scale machine learning ops - model monitoring toolkits
• Scottish National Investment Bank: The decarbonisation of heat in Scotland
• SportScotland Institute of Sport: Analysis of swimming race data
• Streamba Ltd: Assessing methods for robust data preparation of heterogeneous sources
• Eden Court Highlands: Live audience analysis
• National Records of Scotland: Seasonal adjustment of mortality
• BBC World Service: Analysis of shifts in political/public opinion using time series analysis and natural language processing tools