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

Business and Data Analytics

Richmond, the American international University in London, inc. · London
Qualification
Degree
Length
4 yrs
UK fees / yr
£9,250
Study
full-time
Worth knowing: about 30% of students don't make it past first year here - ask the uni what support they offer.
Robin · 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

Business and data analytics is a degree for the data-driven economy. Modern organisations in every sector generate vast quantities of data, and the ability to extract meaningful insight from that data, to understand what it reveals about customers, operations, markets, and performance, and to use that insight to support better decisions, has become one of the most sought-after capabilities in the graduate job market. This degree combines core business principles with the analytical and technical skills needed to work with data at a professional level.

At Richmond, the American International University in London, this four-year programme blends UK and US educational approaches to develop both your understanding of how businesses operate and your competence in data analytics. You will engage with business strategy, marketing, finance, and operations alongside statistical methods, data visualisation, and the analytical tools and platforms used in professional data work. The programme emphasises practical experience, critical thinking, and effective communication, recognising that data skills are only valuable when combined with the ability to interpret findings and communicate them clearly to decision-makers.

Internship opportunities and exposure to industry give the degree a strong professional orientation. A foundation year is available for students who need additional preparation, and the programme includes a sandwich year, a year abroad option, and work placements.

Graduates of business and data analytics programmes are in strong demand across a very wide range of sectors. Business analyst, data analyst, marketing analyst, operations analyst, financial analyst, and management consultant are all common destinations. The combination of business understanding and analytical capability is particularly valued in organisations that are trying to use their data more effectively, which describes the majority of large employers today.

Many graduates also pursue postgraduate study in data science, business analytics, or management, building specialist technical depth on a strong business foundation.

Could you get in?
The grades students arrived with
48-63 pts5%
128-143 pts5%
How they qualified
69% got in with A-levels. The rest came in a mix of ways:
A-levels69%
Other27%
other higher education3%
the IB1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
80%
In work or further study after
70%
Continue past first year
83%
Student satisfaction
What graduates actually go on to do % of leavers
Managers, directors and senior officialsHighly skilled35%
Administrative occupations15%
Sales occupations10%
Business and public service associate professionalsHighly skilled15%
Business, Research and Administrative ProfessionalsHighly skilled10%
Elementary occupations10%
Information Technology ProfessionalsHighly skilled5%
What students say National Student Survey
83%
of students are satisfied with the course overall
Teaching91%
Assessment & feedback89%
Academic support90%
Well organised82%
Learning resources76%
Student community66%
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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 Richmond, the American international University in London, inc.'s own site.
Apply on uni site
Careermash · 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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