City, University of London

Course Introduction

The BSc (Hons) Data Analytics and Actuarial Science degree* is delivered by Cass Business School, one of Europe’s leading business schools. Part of City, University of London, Sir John Cass Business School is ranked amongst the top 5 business schools in the UK (FT European Business School Rankings 2018).

Actuarial science involves the application of quantitative skills to problems in finance that normally involve risk or uncertainty, whilst data analytics involves using coding, data and the latest advances in information technology to solve real-world problems. If you are fascinated by both and have a passion and talent for mathematics, particularly modelling and probability, the Data Analytics and Actuarial Science degree might be the ideal course for you.

Traditionally, actuaries have used data to solve problems in the financial risk area. However, the world of finance is being transformed by two major trends – the increase in the volume and types of data and the focus on risk management. This means some problems are now best solved using different data analysis techniques.

This course prepares you for these new challenges. You will explore the traditional actuarial approach to risk management but you’ll also learn about some of the newest areas of data science, including artificial intelligence and machine learning, and their practical application to finance and insurance. Our in-depth teaching of the state-of-the-art Python and R programming languages – highly sought after in the global data science industry – is a flagship feature of this course.

As well as developing your understanding of mathematics, probability, statistics, economics and IT, you’ll also look into probability modelling, data analysis and the financial markets. You’ll also be able to demonstrate your skills and your ability to communicate your findings in your final year project.

As you would expect, the Data Analytics and Actuarial Science undergraduate course sets you up for a career in actuarial science. However, the course will also prepare you for a career in the wider fields of data analysis and risk management, or in investment management or financial analysis.

Many of our lecturers are qualified actuaries and data analysts and have worked in the finance and IT sectors and continue to consult for corporate organisations, so you will benefit from their first-hand knowledge and business experience. As we place a high value on teaching both theory and application, you will emerge from your degree with a good understanding of how to use your newly acquired knowledge in the workplace.

A key part of this degree is the opportunity to gain professional work experience or a period of study abroad. All first year Data Analytics and Actuarial Science students are eligible to apply for the Micro-Placements Programme which offers you the opportunity to apply for a 3-5 week summer placement, exposing you to a real-life business environment at a London-based employer.

Students are also eligible to apply for a one-year paid work placement during the third year of a four-year sandwich degree course. Cass students enjoy a wide range of opportunities in business areas such as insurance and risk management, actuarial investment pricing and capital management. Recent placements include: the Association of British Insurers, Aviva/Friends Life, Prudential and Legal & General.

Students can alternatively apply to spend one year studying abroad during the third year of a four-year sandwich degree course. Students can apply to study at a business school at one of our prestigious partner universities, including the University of Waterloo, Canada; and the Chinese University of Hong Kong. Studying abroad enables students to expand their international network of contacts, develop a wider perspective in the worlds of actuarial science and finance and enhance their career prospects.

Course Modules

Year 1 core modules:

- Introduction to Actuarial Methods

- Mathematics for Actuarial Science

- Applications of Information Technology

- Introduction to Economics

- Probability and Statistics

- Finance and Investment Mathematics

- Career Planning and Applications for Actuaries

Year 2 core modules:

- Calculus and Linear Algebra (Mathematics 2)

- Probability and Statistics

- Stochastic Modelling

- Fundamentals of Finance

- Python, R and Data Structures

- Python, R and Databases

Year 3 core modules:

- Statistical Modelling

- Probabilistic Modelling

- AI and Machine Learning

- Data Visualisation

- Final Year Project

Start Date:

09/2020

Duration & Attendance Qualification Tuition fees Fee type
3 years
Full Time
Bachelor of Science (with Honours) - BSc (Hons) Other Fees