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.
Yet, there is a recognised shortage of qualified analysts, both in the UK and globally, to make the most of this data and to meet the demands of industry. 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.
This course is one of the first courses to link these two key areas, making it uniquely positioned to help you meet this demand. The course focusses on the application rather than pure theory of mathematics and is assessed primarily through coursework, developing those skills which are in high demand by the data industry.
The course will provide you with a strong foundation in the mathematical analysis of data-driven systems and help you develop your computing skills, from programming Python and R, to advanced techniques including Artificial Intelligence and Machine Learning, to applying the techniques you learn on a large scale. You will learn the techniques used to approach data and build models using computational analysis and understand the mathematics underpinning these techniques.
You can exit at the end of 6 months with PgCert Mathematics and Data Science.
You can exit at the end of 9 months with PgDip Mathematics and Data Science.
A minimum of a second-class Honours degree, or equivalent, in a numerate subject, e.g. mathematics, physics, engineering, economics; along with some evidence of a mathematical background, such as having taken and passed mathematics modules in at least some of calculus, algebra, statistics and numerical analysis.
If you don’t currently meet the academic requirements for this course, INTO University of Stirling offers a variety of preparation programmes that can earn you the qualifications and skills you need for direct entry.
Part time (day)