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    Data Analytics and Actuarial Science
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    City, University of London

    Data Analytics and Actuarial Science

    City, University of London

    City, University of London

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    United Kingdom, London

    University RankQS Ranking
    352

    Key Facts

    Program Level

    Bachelor

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    G3G1, GG31

    Campuses

    Northampton Square

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesSeptember-2026
    Apply to this program

    Go to the official application for the university

    Duration 4 year(s)
    Tuition Fee
    GBP 28,000  / year
    Next Intake September-2026

    Data Analytics and Actuarial Science

    About

    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.

    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

      Requirements

      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 Program 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
      • 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 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.

      Career

      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.

      Fee Information

      Tuition Fee

      GBP 28,000 

      Application Fee

      GBP  
      City, University of London

      Data Analytics and Actuarial Science

      City, University of London

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      United Kingdom,

      London

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