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

Finance

Queen Mary University of London Β· London
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

Finance is the discipline that examines how financial systems, economies, and society interact, asking how capital is raised and deployed, how assets are priced, how risk is measured and managed, and what role financial institutions play in economic development. The relationships between financial systems and the broader economy have rarely been more visible or more contested than in the era since the 2008 financial crisis, and studying finance at a serious academic level means engaging with both the technical apparatus of the discipline and the political and social questions that financial decisions raise.

At Queen Mary, University of London, this four-year full-time programme invites you to explore financial topics such as asset pricing and corporate finance alongside applied economics, developing both the quantitative skills and the critical understanding that a rigorous finance education requires. You will study the theory of financial markets, investment analysis, financial modelling, and corporate financial decision-making, building the mathematical and statistical competencies that professional finance careers demand. The typical entry tariff is 152 points.

Graduates of finance degrees are among the most sought-after in the social sciences, with strong demand from investment banks, asset management firms, hedge funds, financial technology companies, consultancies, and government bodies. Many pursue professional qualifications alongside their careers, and postgraduate study in finance, financial economics, or quantitative finance is common for those who want to develop specialist expertise. The analytical rigour and financial depth of the degree also open pathways in data science, economic research, and policy roles where understanding of financial systems is valuable.

Could you get in?
The grades students arrived with
48-63 pts1%
112-127 pts2%
128-143 pts25%
144-159 pts35%
160-175 pts11%
176-191 pts10%
192-207 pts5%
208-223 pts2%
224-239 pts2%
240+ pts2%
How they qualified
83% got in with A-levels. The rest came in a mix of ways:
A-levels83%
a foundation year8%
the IB5%
Other5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
87%
In work or further study after
89%
Continue past first year
82%
Student satisfaction
What graduates earn over time
Β£35,500
3 years on
Β£50,000
5 years on
What graduates actually go on to do % of leavers
Administrative occupations7%
Finance ProfessionalsHighly skilled49%
Elementary occupations2%
Business, Research and Administrative ProfessionalsHighly skilled12%
Business and public service associate professionalsHighly skilled11%
Customer service occupations1%
Sales occupations1%
Managers, directors and senior officialsHighly skilled6%
What students say National Student Survey
82%
of students are satisfied with the course overall
Teaching79%
Assessment & feedback72%
Academic support69%
Well organised87%
Learning resources83%
Student community85%
In students' own words
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Genuinely worthwhile
Honestly, one of the best decisions I've made. The best part: small-group tutorials really push your thinking. If I'm honest, first-year classes can be quite large. On the city β€” the city is a brilliant student city with plenty to do outsid…
Class of 2023 Β· Full-time
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A great decision
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…
Third year Β· Full-time
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Queen Mary University of London'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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