Data Analytics and Actuarial Science BSc (Hons)

Bayes students together in working area looking at a computer screen

Key information

UCAS code: G3G1 / GG31 with professional placement

Duration: 3 years / 4 years with placement

Attendance mode: Full-time

Fees: From £9,250 (more information)

Location: Northampton Square

Start of programme: September 2025

Application deadline: January 2025

Entry year: Showing course information for 2025

Develop data analysis skills that meet new challenges in the fields of finance and actuarial science

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

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
Micro-placement
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
Game Theory
Advanced Management Practice
Integrated Professional Training
Summer Internship
Financial Technology
Volunteering and Career Development

Download course specification:

Data Analytics and Actuarial Science BSc (Hons) [PDF]

Assessment methods

Examinations
Course work
Presentation

Term dates

Academic year

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

Two students woking on laptops in a study space

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.

*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.

Asia and Australasia

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).
University of Queensland

Located in the popular Australian city of Brisbane, the University of Queensland features in the top 100 of 3 of the major rankings (QS, THE and ARWU).
University of Sydney

As Australia’s first university, the University of Sydney has an excellent long-standing reputation and is also ranked best student experience in Australia.
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.

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.

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.

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).

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.

Europe

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.

Denmark

Copenhagen Business School

Copenhagen Business School often abbreviated and referred to as CBS, is a public university situated in Copenhagen. It is considered one of the most prestigious business schools in Western Europe and the world. CBS has been engaged in student mobility for decades and has a large number of partner universities all over the world. They send over 1,100 students to study at partner universities every year

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

Technische Universität München

TU Munich was named as the number one university in Germany in the QS World University Ranking 2016.
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.

Italy

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.
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.

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.

Spain

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).
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).

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.

The Americas

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.

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.

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.
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.
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).
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.
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.

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: bayes-ug-outgoing@city.ac.uk.

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.

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

Recent placements

Past placements students from the BSc Actuarial Science have found actuarial placements, and some finance placements, in organisations including banks, insurers, re-insurers and risk management specialists.

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

Find out the types of positions our Actuarial Science graduates have gone on to:

Job prospects and graduate destinations

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

Fees & funding

UK/Home fee

September 2025 entry

£9,250 per year

Tuition fees are subject to annual change.

International fee

September 2025 entry

£27,000 per year

Tuition fees are subject to annual change.

Tuition fee increases

The tuition fees indicated are for the 2025/26 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.

Scholarships & bursaries

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 2025/26 entry.

View our scholarships and funding

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)

UK qualifications

A Level: A (Maths) AA

We accept all foreign language A Level subjects, and such subjects are considered for entry even if it is the applicant’s native language.

If you are studying General Studies or Critical Thinking these subjects will not be included in any offer condition.

For A-Level applicants we also require a minimum of grade 4 (C) in GCSE English Language.

BTEC: DDD

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

OCR Cambridge Technical Level 3 Extended Diploma: DDD

For OCR Cambridge Technical applicants we also require A Level Maths grade A and a minimum of grade 4 (C) in GCSE English Language.

For candidates taking a combination of A Level/BTEC/OCR Cambridge Technical qualifications we accept the following:

BTEC/OCR Cambridge Technical Level 3 National Diploma (grades DD) with A-Level Maths A
BTEC/OCR Cambridge Technical Level 3 Subsidiary Diploma/National Extended Certificate (grade D) with two A-levels (including A-Level Maths A and a second A-Level grade A)

For combination BTEC/OCR/A-Level applicants we also require a minimum of grade 4 (C) in GCSE English Language.

Cambridge Pre-U: D3 D3 D3 (including Maths)

Plus grade 4 (C) in GCSE English Language.

IB: 35 points overall with HL 6 in Mathematics HL4/SL 5 English. Please note that we are happy to accept both Maths Analysis & Approaches and Maths Applications & Interpretations.

Access to Higher Education: Pass the course with 45 level 3 credits including minimum 30 distinction credits and the remaining 15 credits at merit or above, plus A-Level Maths A.

For Access applicants we also require a minimum of grade 4 (C) in GCSE English Language.

T Level: Distinction plus A Level Maths grade A and GCSE English grade 4 (C).

Bayes accept the following T Level pathways:

Accounting
Digital Business Services
Finance
Management and Administration
Marketing.

We do not accept any other T Level pathways.

Contextual admissions

We apply a contextual admissions process for UK undergraduate applicants who have been in care, attend a low performing school, live in an area where few students go to university, or are the first generation of their family to enter Higher Education.

Those who are eligible may receive a conditional offer with reduced entry requirements, typically up to two grades lower for A-levels and one grade for the International Baccalaureate Diploma.

International qualifications

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 willnotbe accepted.

English tests need 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
IELTS One Skill Retake: Must be taken within six weeks of previous IELTS test. Accepted for one sub test where all other components and the overall score have been met.
Language Cert International Academic ESOL: 70 overall and 70 in each component
Language Cert International ESOL: B2 Communicator (101 Listening, 38 Speaking, 101 Reading, 101 Writing)
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.

English Language Qualifications:

IGCSE English as a First Language (Syllabus 0500 & 0522): Grade C / 5 or above
IGCSE English as Second Language (Syllabus 0510 & 0511): Grade B/ 6 or above
International Baccalaureate: Grade 5 at Standard level or Grade 4 at Higher level
Trinity College (Integrated Skills): Distinction ISE II – 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.
Malaysian Certificate of Education (Sijil Pelajaran Malaysia): C+
WAEC (West African Examinations Council: C5 (from 2015 onwards)
Oxford Digital English Language Test (Digital & In person): Score 7 with at least 6 in all skills.

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.

Foundation programmes

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.

They help prepare you for study at City St Georges and you are guaranteed a place on a specific degree at City St George’s provided you meet the progression requirements.

INTO City

Together with INTO University Partnerships, City St Georges has established a purpose-built study centre near to Liverpool Street Station in the heart of London's financial district.

Combining academic study with English language support, the courses at INTO City are validated by City St George’s, which provides assurance of the quality and standards of education and means you have access to a range of City St George’s services.

Find out more at: INTO Study - Best Universities in London | City University London

Kaplan International College London

City has a longstanding partnership with Kaplan International College London. KIC London offers fantastic teaching, support and facilities, plus a great location in the popular South Bank area of the city, close to many leading attractions.

Its courses equip students with the English language level, academic skills and key subject knowledge needed for an undergraduate degree at City St George’s.

Find out more at: Kaplan International College (KIC) London | Kaplan Pathways

Student life

Study at Bayes and take advantage of all that London has to offer - from entertainment and nightlife to West End theatres, museums and world-famous shopping districts and markets.

See our Undergraduate Student Life page for further information.

Have a question about student experience at Bayes?

Talk one-on-one with a student who is currently studying at Bayes.

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Apply

Terms and conditions

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

More information about applying to Bayes

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 / GG31 with professional placement

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

Apply via UCAS | G3G1 Apply via UCAS | GG31

Contact us

Speak to one of our staff from UG's programmes teams.

Data Analytics and Actuarial Science BSc (Hons)

Key information

Overview

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

Accreditation

Why choose this course?

Course objectives

Teaching staff

Dr David Smith

Dr Jaap Spreeuw

Course content

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

Download course specification:

Assessment methods

Term dates

Academic year

Study abroad

Asia and Australasia

Australia

Queensland University of Technology

University of Queensland

University of Sydney

RMIT University

China

Renmin University of China

Shanghai Jiao Tong University

Hong Kong

Chinese University of Hong Kong