Data Analytics and Actuarial Science

About this course

Data analytics and actuarial science is a combination that addresses two of the most important quantitative disciplines in contemporary professional life. Data analytics is concerned with how large, complex datasets are collected, processed, analysed, and interpreted to support decision-making, using statistical, computational, and machine learning methods to extract insight from information. Actuarial science applies rigorous mathematical and statistical methods to the measurement and management of financial risk, particularly in insurance, pensions, and finance, and is one of the most precisely defined and highly regarded quantitative professions. At City St George's, University of London, this three-year programme is delivered by Bayes Business School, formerly known as Cass and ranked among the leading business schools in the UK and Europe. The combination of Bayes's strong quantita

Where its graduates go

The 5 largest scored destinations, covering 85% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 15% of graduatescards →
• 68 / 100Customer service occupations · 5% of graduatescards →
• 60 / 100Business, Research and Administrative Professionals · 20% of graduatescards →
• 55 / 100Administrative occupations · 10% of graduatescards →
• 52 / 100Finance Professionals · 35% 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).