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.

Yet, there is a recognised shortage of qualified analysts, both in the UK and globally, to make the most of this data. In particular, the demand is for graduates who can both manage the data (the computing skills), and analyse the data to extract patterns, build models and make predictions (the mathematics skills). It is only with these analytical skills can the full value of data be extracted.

The COVID-19 pandemic has shown the importance of combining Data Science and Mathematics, with governments around the world being guided by predictions from mathematical models. Our MSc is one of the first courses to link these two key areas, making it uniquely positioned to help you meet this demand. 

The course will provide you with a strong foundation in the mathematical analysis of data-driven systems and help you develop your computing skills, including Artificial Intelligence and Machine Learning, 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. The key outcome of this course is to ensure you are confident in your skills before you contunue your career.

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.

Placements/ Study abroad

The course features a long summer project, generally in partnership with a company or technology provider.

Career

Graduates from a data science course find employment as:

• R&D data scientist
• digital analytics engineer
• data engineer
• data scientist
• machine learning engineer
• machine learning data scientist
• data solution architect
• machine learning developer
• data scientist in a research field such as genomic, cognitive, clinical and healthcare