Course summary
The BSc (Hons) Data Analytics and Actuarial Science degree is delivered by Bayes Business School (formerly Cass), one of Europe’s leading business schools. Part of City, University of London, Bayes is ranked amongst the top 6 business schools in the UK*. 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. This degree can provide up to five exemptions from the Institute and Faculty of Actuaries’ examinations. 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. All Bayes undergraduate students will also choose from a range of professional experience modules so that when you graduate you are equipped with the knowledge and experience to make you an attractive candidate to employers. You will also take a career-focused module suitable for your chosen course to help you prepare for entering the job market. A key part of this degree is the opportunity to gain professional work experience or a period of study abroad. Students are eligible to apply for a one-year paid work placement during the third year of a four-year sandwich degree course. 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. *Financial Times European Business School Ranking 2022
Modules
Year one: There are no electives in the first year. Core modules:
- Introduction to actuarial methods and career planning
- Mathematics for actuarial science
- Probability and statistics 1
- Finance and investment mathematics
- Introduction to economics
- Introduction to Excel and statistical packages
- Introduction to VBA for Excel
- Calculus and linear algebra (mathematics 2)
- Fundamentals of finance
- Probability and statistics 2
- Python, R and data structures
- Python, R and databases
- Stochastic modelling
- AI and machine learning
- Data visualisation
- Final-year project
- Probabilistic modelling
- Statistical modelling.
Assessment method
You will be assessed using a variety of methods, depending on module choices including:
- Coursework
- Unseen written examinations, taking place at the end of each term (or at the end of a year, if a module is taught over two terms)
- Class tests
- Online quizzes and tests, using the Virtual Learning Environment
- Presentation
- Group projects, individual projects.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- GG31
- Institution code:
- C60
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - AAA
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDD
Access to HE Diploma - D: 30 credits M: 15 credits
Scottish Higher - AAAAB
Pearson BTEC Level 3 National Diploma (first teaching from September 2016) - DD
International Baccalaureate Diploma Programme - 35 points
Cambridge International Pre-U Certificate - Principal - D3, D3, D3
T Level - D
Please click the following link to find out more about qualification requirements for this course
https://www.bayes.city.ac.uk/study/undergraduate/courses/actuarial-science
Student Outcomes
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
EU | £24500 | Year 1 |
International | £24500 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
As a global institution, Bayes Business School aims to foster greater racial diversity in business. Therefore Bayes has launched a new scholarship for undergraduate black British students. We are offering ten scholarships for Black UK-domiciled undergraduate students from lower than average income households. Each scholarship covers the full tuition fee (at home-fee level) and a £6,000 annual stipend for three years. Scholarship holders will also be offered mentoring and support. The Bayes International Scholarship is awarded to students who achieve exceptional grades. The scholarship will be awarded as a discount in the fee amount due in the first year of their study only. City, University of London also offers scholarships for UK students who achieve exceptional grades. The scholarship will likely be awarded as a discount in the fee amount due in the first year of their study only. Please visit www.bayes.city.ac.uk/study/undergraduate/application-and-funding/scholarships for further information about scholarships including eligibility criteria. Eligibility criteria for students starting their studies in September 2024 will be updated in September 2023. Conditions are subject to annual change.
Provider information
City, University of London
Northampton Square
City of London
EC1V 0HB