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

Digital Business Analytics with Placement Year

Brunel University London Β· London
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£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.
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

Data is now one of the primary raw materials through which businesses understand their customers, manage their operations, and make strategic decisions. Digital business analytics is the discipline that turns that data into insight: using statistical methods, digital tools, and commercial reasoning to extract meaning from information and present it in ways that drive action. For people who are naturally curious about patterns, problems, and how technology is reshaping organisations, it is one of the most directly relevant degrees available.

This four-year, full-time programme at Brunel University London includes a placement year, giving you a sustained period of professional experience working in a business or technology organisation before you complete your degree. The academic curriculum covers the core methods of data analysis alongside the business context in which those methods are applied, building your capacity to work with digital platforms, analytics tools, and the kinds of datasets that modern organisations actually use. You will develop skills in data visualisation, statistical reasoning, business intelligence, and the communication of analytical findings to non-specialist audiences, building the kind of profile that employers in this fast-growing field actively look for.

Graduates of digital business analytics are well placed for careers as data analysts, business intelligence specialists, digital strategists, operations analysts, and technology consultants across virtually every industry sector. Finance, retail, logistics, healthcare, media, and public services all depend on people who can make sense of data and translate it into decisions. The placement year, in particular, makes graduates more competitive in the graduate job market by providing real evidence of professional capability.

Further study in data science, business analytics, information management, or a specialist application domain is also available for those who want to deepen a particular area of expertise.

Could you get in?
The grades students arrived with
<48 pts1%
64-79 pts1%
80-95 pts19%
96-111 pts21%
112-127 pts19%
128-143 pts18%
144-159 pts12%
160-175 pts3%
192-207 pts1%
How they qualified
81% got in with A-levels. The rest came in a mix of ways:
A-levels81%
a foundation year7%
other higher education6%
the IB4%
an Access course1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
76%
Continue past first year
88%
Student satisfaction
What graduates earn over time
Β£27,000
3 years on
Β£34,000
5 years on
What students say National Student Survey
88%
of students are satisfied with the course overall
Teaching84%
Assessment & feedback86%
Academic support81%
Well organised88%
Learning resources88%
Student community88%
In students' own words
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Highly recommend
Honestly, one of the best decisions I've made. The best part: case-based teaching forces you to think commercially. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” the city is a brilliant student city …
Class of 2022 Β· Full-time
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Mixed but mostly good
Would I choose it again? Probably yes, with caveats. The best part: case-based teaching forces you to think commercially. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” the city is a brilliant student…
Class of 2023 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 Brunel University 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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