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Actuarial Management with Data Science at Heriot-Watt University - UCAS

Course options

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Course summary

Data Science (machine learning) uses computer algorithms to build models of the future. Our MSc in Actuarial Management with Data Science will enable you to develop the skills to build and apply such models in an actuarial context. In addition, the degree is fully accredited with the Institute and Faculty of Actuaries in the UK for actuarial subjects: CP1, CP2, CP3, SP2, SP4, SP5, SP6 and SP9. Studying subject SP9 leads to the internationally recognised Certified Enterprise Risk Actuary (CERA) qualification. These subjects cover a variety of areas including life insurance, risk management, investment, derivatives, pensions, communication and modelling. Combining your choice of these with your development in machine learning skills will prepare you well for the modern world. You choose the combination that works for you. Completing this degree gets you close to qualification as an actuary, with only one or two exams left to complete after leaving university. It typically speeds up your qualification by one or two years. Customise your learning Becoming an Actuary in the UK: As an actuary, you specialize in risk management, often within the insurance sector. To qualify as an actuary in the UK, you must pass a series of exams administered by the Institute and Faculty of Actuaries (IFoA). First Set of Exams (Mathematical Material): The first set of exams includes CB1, CB2, CM1, CM2, CS1, and CS2. These exams cover subjects such as accounts, economics, financial/actuarial mathematics, and applied statistics. You can take accredited BSc and MSc programmes in Actuarial Science at Heriot-Watt University. The MSc in Actuarial Science provides a quicker route to exemptions, taking just one year to complete. Second Set of Exams (Real-Life Application): The second set of exams focuses on applying mathematical knowledge in real-life scenarios. These exams include CP1, CP2, CP3, SP2, SP4, SP5, SP6, and SP9, all administered by IFoA. You can prepare for these practical challenges through Heriot-Watt University's MSc in Actuarial Management. Alternatively, there is an MSc in Actuarial Management with Data Science, which equips you with machine learning skills, increasingly valuable in the modern world. Accelerated Path to Qualification: If you are seeking an accelerated path to qualification, Heriot-Watt University offers a 2-year MSc in Actuarial Science and Management. In the first year, you cover CB1, CB2, CM1, CM2, CS1, and CS2 material. In the second year, you delve into CP1, CP2, CP3, SP2, SP4, SP5, SP6, and SP9 subjects, with the option to choose a subset. Additionally, the university offers data science (machine learning) courses for students interested in expanding their skill set. Accreditation Institute and Faculty of Actuaries (IFOA) Fully accredited programme with the Institute and Faculty of Actuaries in the UK for subjects: CP1, CP2, CP3, SP2, SP4, SP5, SP6, SP7, SP8 and SP9. Center of Actuarial Excellence ‘Center of Actuarial Excellence’: Heriot-Watt University is recognised as a Center of Actuarial Excellence by the Society of Actuaries (SOA), North America. We were the first Center of Actuarial Excellence in Europe and one of only 30 other schools worldwide with this designation. With roots dating back to 1889, the Society of Actuaries (SOA) is the world's largest actuarial professional organisation with more than 28,000 actuaries as members.

Modules

The main course teaching on the programme takes place in the first and second semesters. Students normally take four courses in each semester. Two courses are normally required to cover all the material for one of the Institute and Faculty of Actuaries’ exemption subjects. Students must take courses associated with exemption subject “CP1”, and also the data science courses: Machine Learning for Risk and Insurance 1 & Machine Learning for Risk and Insurance 2.  Additional courses are chosen to secure exemption from two “SP” subjects. (Two “SP” subjects are required in order to qualify as an actuary.) Only eight courses across two semesters must be completed in total. The courses, and any corresponding actuarial exemption subject they are linked to, are as follows. Mandatory September -Actuarial Risk Management 1 -Machine Learning for Risk and Insurance 1 -Optional September -Financial Markets -Derivatives Markets and Pricing -Life Insurance 1 -Practical Data Science -General Insurance: Reserving and Capital Modelling -Quantitative Risk Analysis Mandatory January -Actuarial Risk Management 2 -Machine Learning for Risk and Insurance 2 Optional January -Finance and Investment -Advanced Derivative Pricing -Life Insurance 2 -Pensions and Other Benefits -General Insurance: Pricing -Risk Management: Techniques and Tools Mandatory May -Dissertation

Assessment method

You will be assessed by coursework, exams, and your research project, and will receive support and feedback throughout the programme.


Entry requirements

A minimum of a 2:1 honours degree or non-UK equivalent with substantial actuarial content or non related degree if you have joined profession and sat relevant examinations. Students should have covered much of the syllabus of early Institute and Faculty of Actuaries subjects: CM1, CM2, CS1, CS2, CB1 and CB2. If you have not passed most or all of the early actuarial Institute and Faculty of Actuaries subjects then our MSc in Actuarial Science (1 year) degree or our MSc in Actuarial Science and Management (2 year) degree may be better for you. We welcome applications from international students and accept qualifications from around the world. Please refer to the entry requirements for your country for more details. English language requirements If your first language is not English, we'll need to see evidence of your English language ability. The minimum English language requirement for entry to this programme is IELTS 6.5 (or equivalent) with no score lower than 6.0. If you do not have IELTS 6.5, we offer a range of English language courses to help you meet the English language requirement for this programme prior to commencing your studies.


English language requirements

Applicants whose native language is not English and who have not been educated previously in the English language must provide evidence of their English language ability to ensure they can cope with the demands of a Heriot-Watt programme taught and assessed in English. Further information about the English Language tests that we currently accept as proof of English Language ability including our own English Language programmes, can be viewed on our website.

HWU English Language Requirements

https://www.hw.ac.uk/study/entry/english-language-requirements.htm


Fees and funding

Tuition fees

England £12344 Whole course
Northern Ireland £12344 Whole course
Scotland £12344 Whole course
Wales £12344 Whole course
International £24176 Whole course

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

For part-time, the tuition fee is: £6,172 for UK Nationals and £12,088 for International Applicants.

Sponsorship information

Heriot-Watt Actuarial Scholarship For Academic Excellence for 2025-26 Students with a strong academic record, or a strong record in passing Institute and Faculty of Actuaries (IFoA) exams to date, will be awarded a 20% discount on their fees. The award is at the programme manager's discretion - and they will make their assessment based on your application. The award is made automatically on each application received. If you are successful, then you will see details of the award on your offer letter. Alumni Discount - 20% fee discount A 20% discount is applicable to postgraduate taught courses across all of our global campuses for all Heriot-Watt alumni who have previously been registered for one year or more on a Heriot-Watt degree programme.

Actuarial Management with Data Science at Heriot-Watt University - UCAS