Mathematics and Data Science
Application deadlines: April 30
International tuition: £20,750
Domestic tuition: £8,500
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. This MSc Mathematics and Data Science is one of the first courses to link the two key areas of mathematics and data science, making it uniquely positioned to help you meet this demand. 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.
This program can be done
A minimum of a second class Honours degree, or equivalent, in either a mathematics (joint or single honours) or other numerate subject, e.g. physics. Other degrees will also be taken into account, if it can be shown that some mathematical study took place and you have taken and passed advanced mathematics modules in at least some of calculus, algebra, statistics and numerical analysis. Applicants without these formal qualifications but with significant and appropriate work/life experience are encouraged to apply. English language requirements: IELTS 6.0 with 5.5 in each skill; Pearson Test of English (Academic) 54 overall with a minimum of 51 in each sub-skill; IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing.
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
Stirling , United Kingdom