MSc Mathematics and Data Science
The MSc combines Mathematics with technology from Big Data and analytics, giving you a practical application in financial, business and medical systems, as well as the tools for studying data networks.
- Award Masters / MSc, Postgraduate Diploma, Postgraduate Certificate
- Start date October or February
- Duration MSc full-time: 12 months, MSc part-time: 24 months
- Mode of study Part-time, Full-time, Campus based, Stand-alone modules
The field of Data Science has seen rapid growth in recent years, with vast amounts of data now being generated by major companies and service providers.
At the same time, it’s recognised that there’s a shortage of qualified analysts, both in the UK and globally, to make the most of this data. Crucially, there’s now a shortage of mathematics graduates with the data analysis skills needed to meet the demands of industry.
The COVID-19 pandemic has shown the importance of combining Data Science and Mathematics, with
The course will provide you with a solid foundation in the mathematical analysis of data-driven systems and help you develop your computing skills to apply the techniques you learn on a large scale. You’ll learn the techniques used to approach data using computational analysis and understand the mathematics underpinning these techniques.
Stirling is a member of The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It facilitates industry involvement and collaboration, and provides funding and resources for students.
The aim of the course is to teach you the techniques for approaching data sets using computational analysis, and to help you understand the mathematics underpinning these techniques.
On successful completion of the MSc Mathematics and Data Science, you'll be able to:
- analyse and solve real-world problems using different mathematical approaches
- expand mathematical methods to approach more complex problems
- analyse small and large-scale data sets using mathematical and computational approaches
- apply the research skills and self-learning approaches relevant to data science
- evaluate different approaches to analysing a problem
- demonstrate skills in data analytics and machine learning
The course features a long summer project, generally in partnership with a company or technology provider.
If you’re interested in studying a module from this course, the Postgraduate Certificate or the Postgraduate Diploma then please email Graduate Admissions to discuss your course of study.
Our team of academics in the department of Computing Science and Mathematics investigate novel and effective approaches to dynamic and uncertain real-world problems in complex systems and environments. They explore the interdisciplinary connections between computer science, mathematics, life sciences, social sciences and management.
We work collaboratively with a number of organisations, including The Data Lab (Scotland’s Data Science Innovation Centre, which supports students with funding, networking and routes to employment) and the Scottish Informatics and Computing Science Alliance (SICSA), to ensure our students have the best platform to succeed.
- 90% of our research is 'Internationally Excellent' with top 5% judged as 'World-leading' (Research Excellence Framework (REF) 2014)