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

International Business Analytics

Queen Mary University of London · London
Qualification
Degree
Length
5 yrs
UK fees / yr
£9,535
Study
Full-time
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

Study BSc International Business Analytics at Queen Mary University of London. Learn data analytics, business intelligence and global strategy for careers in consulting, tech and finance. Think you’d make a great global leader in business?

This is where your story starts as you study in London. The international business landscape is changing faster than ever before. You can become the expert firms, governments, and international institutions desperately need to analyse markets and economies and assess trends and developments.

Joining us, you’ll learn to apply the theory to real case studies and make reasoned judgments based on economic analysis. At the same time, we’ll help you use leading software and techniques for business and economic analysis. Our expert teaching team have extensive experience and specialise in a range of areas from economics to analytics.

Because of their connections, you’ll get the chance to hear from leaders from organisations such as HSBC, PwC, UBS and many others.

Could you get in?
The grades students arrived with
96-111 pts3%
112-127 pts3%
128-143 pts9%
144-159 pts49%
160-175 pts22%
176-191 pts5%
192-207 pts3%
208-223 pts2%
224-239 pts1%
240+ pts1%
How they qualified
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
What graduates earn over time
£32,000
3 years on
£37,000
5 years on
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 Queen Mary University of London'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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