Data Analytics and Actuarial Science

Program Overview

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Key information

UCAS code: G3G1 / GG31 with professional placement

Duration: 3 years / 4 years with placement

Attendance mode: Full-time

Fees: from £9,535 (more information)

Location: Clerkenwell campus

Start of programme: September 2025

Application deadline: January 2025

Entry year: Showing course information for 2025

Overview

Data Analytics and Actuarial Science BSc (Hons) Who is it for?

If you love mathematics, especially modelling and probability, and you are interested in the use of coding, data and IT to solve real-world problems, then you will find this course ideal for you.

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.

Accreditation

In order to qualify as an actuary, you will be required to pass the professional examinations of the Institute and Faculty of Actuaries. Specific modules in all three years of the BSc Data Analytics and Actuarial Science degree give you the opportunity to earn exemptions from six of the seven core principles stage subjects.

Why choose this course?

Join the faculty ranked 4th in the world for Actuarial and Risk Management Research (Global Research Rankings of Actuarial Science and Risk Management & Insurance 2021)

Bayes Business School is ranked 3rd best in London, 6th in the UK, 23rd in Europe (Financial Times European Business School ranking 2021)

Course objectives

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.

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

Teaching staff

Course directors:

Dr David Smith

Senior Lecturer in Actuarial Science, Course Director Undergraduate

Dr Jaap Spreeuw

Senior Lecturer in Actuarial Science

Course content

This course will:

• Develop your knowledge and understanding of data analytics, actuarial science, statistics, mathematics, finance and related disciplines
• Develop your ability to communicate your knowledge and understanding effectively
• Develop your understanding of the roles of mathematical and statistical calculation, analysis and judgement in financial risk management and actuarial science
• Develop your ability to make reasoned judgements, frame appropriate questions and draw independent conclusions
• Equip you with the skills required to work professionally in fields related to statistics, finance, risk management, actuarial science, and general management
• Prepare you to enter postgraduate study in actuarial science or related disciplines.

You also have a number of electives to choose from like our Mentoring & Coaching for Leadership module.

Course structure

Year 1

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

Year 2

Core modules

• Calculus and Linear Algebra (Mathematics 2)
• Probability and Statistics 2
• Stochastic Modelling
• Fundamentals of Finance
• Python, R and Data Structures
• Python, R and Databases

Elective modules

• Contingencies
• Decision Analysis
• Financial Economics
• Financial Reporting
• Risk Analysis & Modelling
• Derivatives, Trading & Hedging
• Micro-placement
• Financial Econometrics

Year 3

Core modules

• Statistical Modelling
• Probabilistic Modelling
• AI and Machine Learning
• Data Visualisation
• Final Year Project

Elective modules

• Extreme Event Statistics
• Operational Research
• Advanced Financial Economics
• Survival Models
• Statistical Reasoning, Communication and Ethics
• Advanced Contingencies
• Investment
• General Insurance
• Fixed Income Portfolio Management
• Technical Analysis
• Advanced Econometrics & Forecasting
• Asset-Liability Management
• Game Theory
• Advanced Management Practice
• Integrated Professional Training
• Summer Internship
• Financial Technology
• Volunteering and Career Development

Study abroad

Bayes Business School gives you the opportunity to spend a term or a year studying abroad at one of our partner institutions, which are located around the world in Australia, Europe, Asia and the Americas.

Placements

Work Placements at Bayes

A key part of a Bayes degree is the opportunity to gain professional work experience. BSc Data Analytics and Actuarial Science students are eligible to undertake a one-year paid work placement during the third year of a four-year sandwich degree programme.

The practical experience of a professional placement, (typically 9-12 months duration) in addition to strong academic achievement, gives graduates a distinctive edge in the job market.

Careers

This degree prepares you for a career in data analytics, risk management, actuarial science or financial analysis. You’ll also have data science analysis and communication skills invaluable for a career in general management

Fees & funding

UK/Home fee

2025 entry

£9,535 per year

Tuition fees are subject to annual change.

International fee

2025 entry

£27,000 per year

Tuition fees are subject to annual change.

Entry requirements

Standard home offer

• A Level

A (Maths) AA

Grade 4 (C) in GCSE English Language.

• International Baccalaureate (IB)

35 points

overall, with minimum 6 in Higher Level Maths and either HL4 or SL5 in English.

• BTEC

DD

Plus A Level Maths grade A and GCSE English Language grade 4 (C)

English language requirements

• IELTS (Academic, UKVI or IELTS Indicator): 6.5 overall with no less than 6.0 in any sub test
• Language Cert International Academic ESOL: 70 overall and 70 in each component
• TOEFL (Test centre or iBT Special Home Edition): 90 overall (21 Writing, 23 Reading, 23 Speaking, 21 Listening)
• Pearson Test of English (PTE) Academic: 62 overall with minimum of 62 in each sub test
• Cambridge English Advanced (also known as Certificate in Advanced English): Grade C with 176 overall and minimum 176 in each component
• Cambridge English Proficiency (also known as Certificate of Proficiency in English): Pass qualification (all grades accepted)
• Oxford Test of English: 140 overall with minimum 140 in each sub test.

Foundation and preparatory courses

• UK students

If you do not meet the qualification criteria for this course, you may still meet the criteria for our Actuarial Science Foundation course. The Foundation course is a one-year full-time programme that provides an entry route to the BSc Actuarial Science course.

• Foundation courses for International students

Don’t meet our entry requirements? Study a international foundation course with one of our two partner institutions. These courses are specifically designed for international students who do not meet our required academic and English language requirements for direct entry.