Mathematics with Data Science

About this course

Mathematics and data science are increasingly inseparable. The methods that allow organisations to extract meaning from large volumes of data, to build predictive models, and to make better decisions are mathematical at their core. Statistics, linear algebra, calculus, probability, and computational methods are the building blocks of machine learning, data analysis, and the broader toolkit of the modern data scientist. A degree that combines rigorous mathematical reasoning with practical data science skills prepares graduates for one of the most in-demand roles in the contemporary economy. At City St George's, University of London, this three-year full-time programme brings together core mathematical training with a focus on data science methods and their applications. You will study pure and applied mathematics alongside modules in statistics, programming, machine learning, and data an

Where its graduates go

The 5 largest scored destinations, covering 110% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 50% of graduatescards →
• 60 / 100Business, Research and Administrative Professionals · 10% of graduatescards →
• 55 / 100Administrative occupations · 10% of graduatescards →
• 52 / 100Finance Professionals · 30% of graduatescards →
• 48 / 100Business and public service associate professionals · 10% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).