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

Chemistry

University of Southampton
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

Join the digital revolution in chemistry on our Digital Methods & Computational Modelling course. Preparing you for a career in chemical & data science. Chemistry (Digital Methods and Computational Modelling) (BSc) starting September 2023 for 3 years On this Digital Methods and Computational Modelling Chemistry bachelor’s course, you’ll develop the skills needed by chemists working in future-focused industries.

This degree combines traditional chemistry with computational techniques. Data science, AI and machine learning are helping scientists make discoveries and run experiments faster and at a lower cost. Southampton is one of only a few UK universities where you can study this subject at degree level.

It’s an emerging specialism that’s increasingly valued by employers.

Could you get in?
The grades students arrived with
<48 pts2%
112-127 pts18%
128-143 pts28%
144-159 pts19%
160-175 pts14%
176-191 pts4%
192-207 pts8%
208-223 pts2%
224-239 pts2%
240+ pts2%
How they qualified
94% got in with alevel. The rest came in a mix of ways:
alevel94%
baccalaureate5%
otherHE1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
88%
Student satisfaction
What graduates earn over time
£29,000
3 years on
£36,500
5 years on
What students say National Student Survey
88%
of students are satisfied with the course overall
Teaching87%
Assessment & feedback84%
Academic support73%
Well organised86%
Learning resources91%
Student community95%
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 Southampton'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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