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

Data Science and Business Analytics

University of London Β· London
Qualification
Degree
Length
-
UK fees / yr
Β£9,535
Study
part-time
Worth knowing: about 55% 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 science and business analytics sits at the intersection of quantitative analysis and strategic management, addressing one of the most pressing needs in modern organisations: the ability to extract insight from the growing volume of data that businesses, governments and other institutions generate. Data science applies statistical methods, machine learning and computational techniques to analyse complex datasets. Business analytics connects that technical capability to management decisions, asking how data-driven insight can improve strategy, operations and competitive positioning.

This distance learning programme from the University of London, designed by academics from the London School of Economics and Political Science, prepares you to solve interdisciplinary problems using data and to make strategically reasoned decisions grounded in quantitative analysis. You will build core quantitative skills alongside an understanding of the techniques, methodologies and principles that underpin modern data applications in management, economics and related disciplines. Studying online gives you the flexibility to balance your degree with other commitments, while the LSE academic framework ensures the intellectual rigour of a leading research university.

Graduates from data science and business analytics programmes pursue careers as data analysts, business intelligence analysts, data scientists, strategy consultants, management consultants, financial analysts and product managers. The combination of quantitative technical skill and business understanding is particularly valuable in technology companies, financial services, retail, healthcare, logistics and any organisation that makes decisions based on data. Many graduates go on to postgraduate study in data science, machine learning, business analytics or economics, deepening their technical expertise or moving into research and specialist roles.

Could you get in?
The grades students arrived with
No past-entry data for this course.
How they qualified
75% got in with another degree. The rest came in a mix of ways:
another degree75%
other higher education25%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
45%
Continue past first year
72%
Student satisfaction
What students say National Student Survey
72%
of students are satisfied with the course overall
Teaching77%
Assessment & feedback63%
Academic support57%
Well organised73%
Learning resources64%
Student community65%
In students' own words
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Highly recommend
This is the perfect place to study this subject. The best part: the course strikes a good balance between theory and practical application. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” local cost…
Class of 2022 Β· Full-time
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Exceeded expectations
I've grown so much academically and personally here. The best part: the course strikes a good balance between theory and practical application. If I'm honest, first-year classes can be quite large. On the city β€” local cost of living is mana…
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 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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