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

Data Science and Analytics

University of Portsmouth
Qualification
Degree
Length
3 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

Data science and analytics has emerged as one of the defining fields of the early twenty-first century, as organisations across every sector recognise that the ability to extract meaningful insight from large and complex datasets is central to effective decision-making. The volume of data generated globally has grown at a rate that few predicted even a decade ago, and the skills needed to work with it effectively, combining statistical reasoning, programming, machine learning, and domain knowledge, are in high demand. At the University of Portsmouth, this three-year full-time degree develops those capabilities in a rigorous and applied way.

You will study the mathematical and statistical foundations of data analysis, including probability, regression, and inference, alongside programming in languages such as Python and R, database management, machine learning techniques, and data visualisation. The degree does not treat data science as a purely technical exercise but develops your ability to communicate findings to non-specialist audiences and to think critically about the limitations and ethical implications of algorithmic and statistical approaches. A sandwich year gives you an extended period in professional practice, and a year abroad is also built into the programme for those who wish to experience data science in an international context.

Work placements are integrated throughout. The typical entry tariff is 120 UCAS points.

Data science and analytics graduates are sought after across finance, healthcare, logistics, retail, government, the technology industry, and social research, among many other sectors. The combination of quantitative skills, programming ability, and the capacity to translate data into actionable insight makes this one of the most versatile and marketable graduate profiles available. Many graduates also continue to postgraduate study in data science, machine learning, statistics, or domain-specific applications, building specialist expertise on top of the broad foundations the degree provides.

Could you get in?
The grades students arrived with
48-63 pts1%
64-79 pts3%
80-95 pts21%
96-111 pts19%
112-127 pts13%
128-143 pts16%
144-159 pts15%
160-175 pts6%
176-191 pts1%
192-207 pts1%
How they qualified
89% got in with A-levels. The rest came in a mix of ways:
A-levels89%
other higher education6%
an Access course4%
the IB1%
another degree1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
86%
In work or further study after
85%
Continue past first year
84%
Student satisfaction
What graduates earn over time
£30,000
After 15 months
£25,500
3 years on
£32,000
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled53%
Elementary occupations3%
Administrative occupations3%
Science, engineering and technology associate professionalsHighly skilled8%
Skilled trades occupations3%
Business and public service associate professionalsHighly skilled8%
Engineering professionalsHighly skilled3%
Business, Research and Administrative ProfessionalsHighly skilled3%
What students say National Student Survey
84%
of students are satisfied with the course overall
Teaching82%
Assessment & feedback84%
Academic support74%
Well organised86%
Learning resources87%
Student community86%
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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 University of Portsmouth'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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