University course Β· real outcomes from HESA / Discover Uni Β· part of Careermash
University degree

Actuarial Science

University of York Β· York
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
Robin Β· your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Actuarial science is the discipline that uses mathematics, statistics and financial theory to quantify and manage risk. Actuaries help insurance companies, pension schemes, banks and governments understand the financial consequences of uncertain future events, from natural disasters to changes in life expectancy. The subject demands both technical precision and the ability to communicate complex ideas clearly to non-specialists, making it one of the most intellectually demanding and practically valuable quantitative disciplines available at university.

At the University of York, this four-year programme combines the expertise of the School for Business and Society with the Department of Mathematics, giving you access to strong research and teaching across both the quantitative and applied dimensions of the subject. You will build advanced skills in probability and statistics, financial mathematics and modelling, while also developing an understanding of the economic, legal and regulatory contexts in which actuaries work. A year in industry is built into the degree, providing structured professional experience that complements the academic programme and gives you a substantial advantage when entering a competitive job market.

The partnership between mathematics and business throughout the degree reflects the genuine dual nature of actuarial practice.

Graduates in actuarial science are well positioned to begin careers in insurance, reinsurance, pensions consultancy and financial risk management, and many continue to pursue professional examinations alongside early employment. The analytical and modelling skills developed on the programme are also valued in investment banking, data science and economic consultancy. For those interested in research, postgraduate study in actuarial science, financial mathematics or statistics is a natural continuation.

Could you get in?
The grades students arrived with
128-143 pts5%
144-159 pts45%
160-175 pts30%
176-191 pts5%
192-207 pts15%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
no formal qualifications10%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
100%
Continue past first year
91%
Student satisfaction
What graduates earn over time
Β£30,000
After 15 months
Β£30,500
3 years on
Β£40,000
5 years on
What graduates actually go on to do % of leavers
Administrative occupations15%
Business and public service associate professionalsHighly skilled32%
Sales occupations10%
Finance ProfessionalsHighly skilled17%
Business, Research and Administrative ProfessionalsHighly skilled15%
Information Technology ProfessionalsHighly skilled10%
Elementary occupations5%
Managers, directors and senior officialsHighly skilled7%
What students say National Student Survey
91%
of students are satisfied with the course overall
Teaching92%
Assessment & feedback92%
Academic support86%
Well organised86%
Learning resources92%
Student community92%
In students' own words
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Exceeded expectations
Coming here has changed how I think. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, admin can be slow to respond, especially at start of term. On the city β€” local cost of living is manageable if y…
Third year Β· Full-time
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Exceeded expectations
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: small-group tutorials really push your thinking. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” local cost of livi…
Final year Β· Full-time
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University of York's own site.
Apply on uni site
Careermash Β· real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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