Data Analytics and Actuarial Science

BSc (Hons)

As advances in data and risk management transform finance and actuarial science, develop data analysis skills that meet new challenges. Join the faculty ranked 4th in the world for Actuarial and Risk Management Research*.

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Entry year

Start date

September 2024

Duration

3 years

Duration with placement

4 years

Application deadline

Jan 2024

Campus

Northampton Square

UCAS Code

G3G1 / GG31 with professional placement

Overview

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.

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

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 also be able to demonstrate your skills and your ability to communicate your findings in your final year project.

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

*Global Research Rankings of Actuarial Science and Risk Management & Insurance 2021

Course Directors

Dr David Smith

Senior Lecturer in Actuarial Science

Dr Jaap Spreeuw

Senior Lecturer in Actuarial Science

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Structure

What will I learn?

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.

Core modules:

Introduction to Actuarial Methods and Career Planning
This module raises awareness of your career options within and outside of the actuarial profession. To achieve this aim, the module examines the use of actuarial methods to solve financial problems and provides an introduction to the industries that actuaries work in.
Mathematics for Actuarial Science
This module will initially consolidate your mathematical knowledge to ensure all students have the same basic understanding no matter what their educational background. In the second term we will cover more advanced mathematical topics. The mathematics course is designed to give you the tools needed to solve the problems in the other modules.
Probability and Statistics 1
The probability and statistics module will assume that students will arrive with no knowledge of probability or statistics. The module will start with basic concepts such as summary statistics and basic probability and will develop these concepts to more advanced topics such as confidence intervals, hypothesis testing, regression and probability distributions. This module forms part of the CS1 course of the IFoA.
Finance and Investment Mathematics
This module will focus on the concept of valuing future monetary payments in terms of present values to allow a comparison of different income streams which is critical in any financial decision making. In this module we will consider all payments to be guaranteed. We will also look at linking amounts to various inflation indices. This module covers part of the CM1 course of the IFoA.
Introduction to Economics
To be able to understand the possible changes in the financial world, students need to study economics. This module assumes no prior knowledge and will cover both micro and macro economics over the year. This module covers the CB2 course of the IFoA.
Introduction to Excel and Statistical Packages
This module introduces you to the statistical package Minitab and Excel workbooks, There will also be additional information on the statistical package R but this will not be examined. The lectures and practical sessions are scheduled in such a way that you are able to use the IT tools presented in this module to solve problems generated by concepts introduced in other modules on the programme.
Introduction to VBA for Excel
This module aims to Provide you with an introduction to programming in VBA for Excel, to the level where you can write macros and user-defined functions to assist in carrying out analytical tasks. It will also explain the reasons for technical standards of documentation and give instruction in how to apply them in practice.

Core modules:

Calculus and Linear Algebra (Mathematics 2)
This module will cover more advanced techniques in calculus and linear algebra that will be used in your other modules on the degree.
Probability and Statistics 2
This module will continue your development in the areas of probability and statistics. In particular, we will be combining ideas from your first year mathematics module to allow more complex situations to be modelled. This module forms the second part of the CS1 of the IFoA.
Stochastic Modelling
This module will allow you to study ways to model uncertainty for a selection of probabilistic events. The techniques you learn here can be applied to a number of different situations and will be developed further in more advanced modules. This module covers part of the CS2 course of the IFoA.
Fundamentals of Finance
This module will introduce you to the various financial instruments and markets that exist allowing you to be able to develop solutions to financial risk questions. This module covers the first part of the CB1 course of the IFoA (the second part is covered in financial reporting).
Python, R and Data Structures
In this module you will be introduced to Python and R, two of the most popular languages in the area of data science, statistics, and visualisations.
Python, R and Databases
Develop and deepen your knowledge of Python and R and get an introduction to databases and SQL in this module which will strengthen your data analysis skills.

Elective modules

Contingencies
Decision Analysis
Financial Economics
Financial Reporting
Risk Analysis & Modelling
Derivatives, Trading & Hedging
Corporate Risk Management
Financial Econometrics

Core modules:

Statistical Modelling
This module will provide a further continuation in your development in the areas of probability and statistics. In particular, we give you an introduction to several advanced statistical techniques as applied in the actuarial field. This module completes the CS1 course of the IFoA.
Probabilistic Modelling
This module builds further on your knowledge of probability theory and stochastic modelling. It introduces some advanced models that are or can be applied in actuarial work. This module completes the CS2 course of the IFoA.
AI and Machine Learning
This module will introduce you to the rapidly evolving topics of AI and machine learning from an actuarial point of view, making use of your knowledge of the Python and R programming languages gained in Year 2.
Data Visualisation
This module introduces you to modern trends in the display of data. You’ll discover how to use appropriate packages to produce displays which are truly informative, clearly understandable, memorable and striking.
Final Year Project
Your dissertation is your chance to demonstrate your mastery of data analytical skills. During this vital and substantial part of your final year we encourage you to produce independent research and apply your critical skills to select the most appropriate methods of investigation and analysis. That knowledge, combined with your ability to make and present robust conclusions from your research findings, will also form the basis of discussions with prospective employers.

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
Fin Tech
Financial Econometrics

Download the relevant programme specification

Assessment methods

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.

Percentage of the course assessed by coursework

The balance of assessment by examination, practical examination and assessment by coursework will to some extent depend on the optional modules you choose.

The approximate percentage of the course assessment, based on 2023/24 entry is as follows:

Year 1

65% written, 35% coursework

Year 2

58% written, 42% coursework

Year 3

43% written, 57% coursework.

Overall workload

Most contact hours take the form of lectures. A number of tutorials, exercise classes and surgery hours are scheduled during the first year, the number decreasing as you progress and you become more able to direct your own learning.

Approximate study time based on 2019/20 entry is as follows

Year 1

29% scheduled learning, 71% independent learning

Year 2

22% scheduled learning, 78% independent learning

Year 3

19% scheduled learning, 81% independent learning.

Term dates

Academic year

For a full breakdown of the current and forthcoming academic year view our term dates page.

Application

How to apply

All applications should be made through UCAS, the Universities and Colleges Admissions Service. Applications are made via Apply, UCAS's online application system.

UCAS Institution code: C60 (Bayes Business School and City, University of London)
UCAS Course code: G3G1

You can find more information at UCAS and in the UCAS Handbook.

Apply now

Find out more information about applying to Bayes.

Terms and conditions

Students applying to study at Bayes Business School are subject to City, University of London's terms and conditions.

Entry requirements

Below is a list of countries with information on each about which qualifications we accept.

English language requirements

Information for international and EU applicants

For international applicants requiring a Student Route visa we accept any of the below English language proficiency qualifications at the grades listed.

Please note, the Official Certificate must be awarded OR the qualification must be verifiable online. Statement of Results will not be accepted.

The English Language qualification or test needs to have been taken no longer than two years from the date that the CAS is generated.

English Language Tests:

IELTS (Academic, UKVI or IELTS Indicator): 6.5 overall with no less than 6.0 in any sub test.
Language Cert International ESOL: Language Cert B2 Communicator High Pass
TOEFL (Test centre or iBT Special Home Edition): 92 overall (24 Writing, 23 Reading, 22 Speaking, 21 Listening)
Pearson Test of English (PTE) Academic: 59 overall with minimum of 59 in each sub test
Cambridge English Advanced (also known as Certificate in Advanced English): Grade C (180 overall) at CEFR Level C1 with minimum 170 in each sub test
Cambridge English Proficiency (also known as Certificate of Proficiency in English): Pass qualification (all grades accepted)
Oxford Test of English 130 overall with minimum 120 in each sub test

English Language Qualifications:

IGCSE: English as a First Language (Syllabus 0500 & 0522) or English as Second Language (Syllabus 0510 & 0511) at Grade B or above
International Baccalaureate: Grade 5 at Standard level or Grade 4 at Higher level
Trinity College (Integrated Skills): ISE III – pass in each area
INTO City Pre-sessional English: 6.5 overall with no less than 6.0 in any sub test (NB. Must be the 6 or 8 week Bayes-specific course)
Hong Kong Diploma of Secondary Education (HKDSE): English Language Examination grade 4 or above
GCSE English Language Grade C/5 or above but 1) Qualifications must be issued by Ofqual, SQA, Qualifications Wales or CCEA regulated body in the UK; 2) Education must be undertaken in a UK school.
A Level English Language Grade C or above but 1) Qualifications must be issued by Ofqual, SQA, Qualifications Wales or CCEA regulated body in the UK; 2) Education must be undertaken in a UK school.
Vitnemal English grade 5
French Baccalaureat: 14/20 in English
Malaysian GCE O Level (SPM-1119 syllabus only): grade A

An exception to the above criteria applies to Student Route visa applicants from the below majority English-speaking countries for whom we can accept a wider range of English qualifications:

Antigua and Barbuda
Australia
The Bahamas
Barbados
Belize
Canada
Dominica
Grenada
Guyana
Ireland
Jamaica
Malta
New Zealand
St Kitts and Nevis
St Lucia
St Vincent and the Grenadines
Trinidad and Tobago
United Kingdom
United States of America

Don’t meet the English language requirements? INTO City, University of London offers English language programmes to help prepare you for study at university. These intensive and flexible courses are designed to improve your English ability for entry to degree courses.

Information for home applicants

In addition to the above English language proficiency qualifications accepted for International applicants, as a Home or EU applicant we can also accept any of the below English qualifications:

GCSE: Grade C or 4
O-Level: Grade C
A-Level: Grade C
Cambridge English First (also known as Certificate of First in English): Grade A (180-190) at CEFR Level C1

Study abroad

Bayes Business School gives you the opportunity to spend a year studying at one of our partner institutions, which are located around the world including Canada, Australia and Europe.

*Please note that the partner universities available is dependent on the study abroad programme you apply for and on your degree. The list of partner universities is also subject to change.

Argentina
Universidad Argentina de la Empresa
Located in the heart of Buenos Aires, UADE has exchange agreements with 40 partner universities around the world. You will take modules from the undergraduate Global Management degree.
Australia
Queensland University of Technology
Located in the bustling city of Brisbane, QUT was the first Australian university to gain 'triple crown' accreditation (EQUIS, AMBA and AACSB).
RMIT University
Giving you the chance to study in Melbourne, Australia's 2nd largest city, RMIT is one of Australia's original educational institutions. Their well-established business school allows students to choose from a wide-range of subjects.
Austria
Vienna University of Economics and Business
WU has triple accreditation, one of only two German-speaking universities belonging to this group. They have a well-established exchange programme, with around 240 partner universities around the world.
Canada
HEC Montreal
Like Bayes, HEC Montreal is triple accredited (EQUIS, AMBA and AACSB) and was the first school in North America to achieve this. There are opportunities to study in French or English.
Smith School of Business - Queen's University
Queen's Smith School of Business has a rich history dating back to 1841 and is consistently ranked as one of Canada's leading universities. It welcomes over 300 exchange students every year from more than 40 countries.
Ivey Business School, Western University
Ranked in the top 100 for Financial Times MBA Rankings, Ivey School of Business provides a competitive combination of world-class teaching and modern facilities.
Sauder School of Business, University of British Columbia
UBC is one of Canada's leading research universities and is consistently ranked in the top 40 of the world. Located 30 minutes from the heart of down-town Vancouver it attracts students from more than 140 countries world-wide.
University of Waterloo
For 19 years in a row, Waterloo has been named Canada's most innovative university in the Maclean's annual university reputational rankings. The Department of Statistics and Actuarial Science at Waterloo is among the top academic units for statistical and actuarial science in the world and is home to over 900 undergraduate students.
Chile
Universidad de Chile
Based in the cultural city of Santiago, the Universidad de Chile is one of only 10 Latin American universities ranked among the world’s top 500. It is ranked 6^th in the QS Latin American Ranking 2016.
China
Renmin University of China
Located in Beijing, Renmin Business School is both EQUIS and AACSB accredited. Their MBA programme is ranked in the top 50 in the world by the Financial Times.
Shanghai Jiao Tong University
You will take classes from the Antai College of Economics and Management, which was the first business school in mainland China to have been triply accredited by AACSB, EQUIS and AMBA. They have Bachelor programmes in Economics and Finance.
France
ESCP Europe, Paris campus
Like Bayes, ESCP is triple accredited (EQUIS, AMBA and AACSB). The Paris campus is located in the centre of the city. The Masters in Management, from which you will take classes, is currently ranked 4^th in the Financial Times rankings (2016).
ESSEC Business School
Established in 1907, ESSEC is one of the leading institutions in Europe for business education. Their BBA was the first programme in France to receive the prestigious AACSB and EQUIS accreditations.
Germany
University of Mannheim
The University of Mannheim Business School is highly ranked and has an excellent reputation. You will be studying modules from their Bachelor degrees in Business Administration and Business Education in either German or English.
Technische Universität München
TU Munich was named as the number one university in Germany in the QS World University Ranking 2016.
Hong Kong
Chinese University of Hong Kong
CUHK was ranked the most innovative university in Hong Kong in 2016 (Reuters). The 137 hectare campus overlooking Tolo Harbour houses a range of facilities such as world-class libraries, art museums, music halls, a swimming pool, sports fields, tennis courts, squash courts, a water sports centre and gymnasiums.
University of Hong Kong
HKU is consistently ranked in the top 50 world universities (Times Higher Education World University Rankings). You will be studying at their Faculty of Business and Economics.
Hong Kong University of Science & Technology
HKUST is ranked 4^th in the QS Asian University Rankings 2016. HKUST Business School was the first school in Asia to be awarded dual accreditation by AACSB and EQUIS. It offers 11 undergraduate business programmes.
Italy
LUISS Guido Carli
LUISS Guido Carli is a private Italian university located in the heart of Rome. They are currently EQUIS and AMBA accredited and Luiss was actually the first Italian institution to have all its management programs accredited by EQUIS back in 2015, from the bachelor's degree program to the Master in Business Administration, as well as additional master's, specialization, doctoral, and business training programs. We are also currently ranked 59th in the QS ranking for Business and Management and our Master in Management is ranked 1st by the Financial Times based on career progress.
Bocconi University
Based in Milan, Bocconi is a triple accredited school (EQUIS, AMBA and AACSB) and is ranked 6th in the Financial Times European Business Schools Ranking 2016.
Norway
BI Norwegian School of Management
BI is the only Norwegian university with triple accreditation and has student exchange agreements with more than 200 institutions in 45 different countries.
Singapore
National University of Singapore
NUS is ranked 1st in the QS Asian University Rankings 2016 and is one of the top 25 world ranked universities (Times Higher Education World University Rankings). More than 1,000 exchange students visit NUS each year.
Nanyang Technological University
Nanyang is ranked 54^th in the Times Higher Education's World University Rankings. You will have the chance to study at one of Asia's most prestigious universities in the heart of Singapore.
Singapore Management University
SMU was founded in 2000 by the government of Singapore, modelling itself on an American style university structure. SMU has over 180 exchange partner universities around the world.
South Korea
Seoul National University
SNU was founded in 1946 as the first national university of Korea. SNU Business School was also the first business school in Korea to be certified by the Associate to Advanced Collegiate Schools of Business (AACSB).
Spain
IE Business School
Situated in the heart of Madrid's financial district, IE Business School is ranked 1^st in Spain and 5^th in Europe (FT European Business School rankings 2015).
ESADE Business School
The school is located in Europe’s most international city and Spain’s second largest city, Barcelona. Like Bayes, ESADE is triple accredited (EQUIS, AMBA and AACSB).
The Netherlands
Rotterdam School of Management, Erasmus University
RSM is consistently ranked in the top 10 business schools in Europe and has 'triple crown' accreditation (AACSB, AMBA and EQUIS). You will study all modules in English.
USA
Emory University, Atlanta
Located near downtown Atlanta, Emory University Goizueta Business School's BBA programme is currently ranked No. 15 by both Bloomberg BusinessWeek and U.S. News & World Report.
McCombs School of Business, University of Texas at Austin
One of the largest business schools in the US, McCombs is ranked the 6^th undergraduate business programme in the 2017 US News and World Reporting Ranking.
Robert H. Smith School of Business, University of Maryland
Located in College Park, eight miles from The White House and downtown Washington, D.C. you will be studying at the Robert H. Smith School of Business whose undergraduate programme was ranked number 19 in the USA (2016 U.S. News & World Report).
Ross School of Business, University of Michigan
The Ross School of Business has one of the top undergraduate business programmes in the USA, ranked #4 (US News & World Report, 2016). You will take modules from their Bachelor in Business Administration.
McIntire School of Commerce, University of Virginia
The McIntire School of Commerce is regarded as one of the best business schools in America. Their UG programme is #5 in the USA (Bloomberg Business Week, 2016). They are partnered with a select number of business schools around the world, with Bayes being one of them.
Vietnam
RMIT Vietnam Campus
Living and studying at RMIT Saigon South campus in Ho Chi Minh City will give you great opportunities to get immersed into a dynamic, multicultural and intriguing city.

Sandwich year

You can spend a year of your degree course studying at one of our partner institutions, between your second and final year of study. This would add a year to your degree so you would complete your degree in four years.

All the above listed partner universities are available to this degree, however if you wish to take Actuarial Science modules abroad you will need to apply to University of Waterloo, Canada.

Student Exchange Team

Our dedicated Student Exchange Team are available to offer advice to students who wish to explore their study abroad options. They will also support students throughout the application process and during their study abroad year or term. To contact them, email: [email protected].

Placements

Work Placements at Bayes

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. Find out more about Work Placements and Summer Internships at Bayes.

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

The experience of working for a leading institution gives you practical experience that can be invaluable in terms of your future career. It will enable you to increase your confidence and maturity, expand your network of contacts, and acquire the skills and competencies sought by graduate employers. Together that gives you a competitive edge in the graduate market.

The BSc Data Analytics and Actuarial Science and BSc Finance with Actuarial Science pathways are new for 2019/2020. As a guide, past placements students from the BSc Actuarial Science have mainly found actuarial placements, and some finance placements, in organisations including banks, insurers, re-insurers and risk management specialists.

We’re proud of the close relationships we’ve built with a diverse range of companies who recognise our reputation, achievements and the success of our graduates, and know that Bayes students can add significant value to their workforce. Our dedicated Placement team are in regular contact with these companies and many more. We can’t guarantee work placements, but they will support you to find a placement and ensure you are work ready.

This additional year is a recognised part of the degree programme and will be endorsed on your final degree certificate, although it is not credited and will not count towards your degree classification.

Support from the Placements Team

A dedicated placements team will support you through the placements process. The team advertise a number of work placement and summer internships annually, and invite businesses to Bayes to meet with you and discuss the roles available. The team offers 1-2-1 advice on CV's and covering letters, as well as organising workshops to help you enhance your skills and competencies with applications and interviews. Also the team support students throughout your placement year including offering advice, guidance and monitoring your progress.

Micro-Placements

The Micro-Placements Programme provides you with an opportunity to take on exciting projects and gain real life experience without adding an extra year to your studies. You can enhance your core employability skills and explore different career options.

Micro-Placements don’t need a lengthy commitment. They are between 2 and 5 weeks long and can be full-time or part-time according to your schedule. They take place in the summer break between June and August, an ideal time to gain work experience as it will not interfere with your studies.

Fees

                        UK
                        £9,250* per year
                        
                        Tuition fees are subject to annual change
                    
                            EU
                            £24,500
                            
                            Tuition fees are subject to annual change
                        
                        International
                        £24,500
                        
                        Tuition fees are subject to annual change

UK students

*Fees for students commencing study in 2024/25 are £9,250 for each year of study.

EU and Non-EU international students

** Fees for students commencing study in 2024/25 are £24,500 for each year of study.

The tuition fees indicated are for the 2024/25 academic year only. Fees for each subsequent year of study are subject to an annual increase to take account of City's increased costs of delivering educational services. This increase will be 5% for each subsequent year of study. You should expect your fee to increase by this amount and budget accordingly.

Funding

There are a variety of funding options for all levels of study, including loans, grants and scholarships. Find out more about funding and financing your time at City here.
Each year, Bayes Business School, City, University of London and generous donors create opportunities for students to fully fund or part fund their studies. Find out more about scholarships and loans.
Fee waivers may be available for this course
Means tested support may be available for 2024/25 entry.

Career pathways

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. Find out the types of positions our graduates have gone on to work in here.

Alumni stories

Hear from our alumni. Discover the real experiences of learning at Bayes and how Bayes helped to boost our graduates' careers.

Read all stories

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 five of the seven core principles stage subjects.

Data Analytics and Actuarial Science

Overview

Who is it for?

Objectives

Course Directors

Have a question about student experience at Bayes?

Structure

What will I learn?

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

Corporate Risk Management

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

Fin Tech

Financial Econometrics

Assessment methods

Percentage of the course assessed by coursework

Year 1

Year 2

Year 3

Overall workload

Year 1

Year 2

Year 3

Term dates

Academic year

Application

How to apply

Terms and conditions

Entry requirements

Australia

Austria

Belgium

Bulgaria

Canada

Caribbean (CAPE)

China

Croatia

Cyprus