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

Business Analytics

University of Brighton
Qualification
Degree
Length
3 yrs
UK fees / yr
£9,535
Study
full-time
Worth knowing: about 24% of students don't make it past first year here - ask the uni what support they offer.
Ottalie · 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 analytics brings together the tools of data science and the frameworks of business thinking to help organisations make better decisions. As the volume and variety of available data has grown, so too has the demand for people who can collect, clean, analyse and interpret it in ways that are genuinely useful to managers and strategists. This degree prepares you to operate at that intersection, combining technical proficiency with commercial understanding.

The University of Brighton offers this programme with an optional foundation year, making it accessible to students who need to consolidate their quantitative and academic foundations before the main degree content begins. The foundation year is followed by three years of full-time study leading to an honours degree. Throughout the programme you will develop skills in data analysis, statistical modelling, database management, business intelligence tools and the communication of quantitative findings to non-specialist audiences.

You will explore how analytics is applied across different business functions, including finance, marketing, operations and human resources, and you will develop the critical thinking needed to assess what data can and cannot tell you. A sandwich year in industry is included, which gives you the opportunity to spend an extended period working in a professional analytics or business environment, bringing your skills into contact with real organisational problems before your final year of study.

The discipline trains you to be comfortable with ambiguity and to ask good questions before reaching for analytical tools. You will learn that the value of data analysis lies not in the sophistication of the method but in the quality of the insights it generates and the decisions it informs.

Graduates enter roles in business intelligence, data analysis, financial analysis, management consultancy, marketing analytics and operations research across almost every sector. The combination of technical and business skills is highly valued, and postgraduate study in data science, business analytics or management is a natural progression for those who wish to specialise or move into senior analytical roles.

Could you get in?
The grades students arrived with
<48 pts1%
48-63 pts4%
64-79 pts13%
80-95 pts10%
96-111 pts17%
112-127 pts16%
128-143 pts8%
144-159 pts10%
160-175 pts8%
176-191 pts1%
How they qualified
89% got in with A-levels. The rest came in a mix of ways:
A-levels89%
Other6%
an Access course3%
other higher education2%
the IB1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
In work or further study after
76%
Continue past first year
85%
Student satisfaction
What graduates earn over time
£27,500
3 years on
£36,000
5 years on
What graduates actually go on to do % of leavers
Business and public service associate professionalsHighly skilled27%
Administrative occupations15%
Information Technology ProfessionalsHighly skilled50%
Sales occupations7%
Managers, directors and senior officialsHighly skilled15%
Science, engineering and technology associate professionalsHighly skilled10%
Elementary occupations10%
Customer service occupations5%
What students say National Student Survey
85%
of students are satisfied with the course overall
Teaching79%
Assessment & feedback81%
Academic support79%
Well organised83%
Learning resources86%
Student community86%
More courses like this
Like the look of it?
When you're ready, the full entry requirements and application are on University of Brighton'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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