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

Computing and Mathematics

University of Newcastle Upon Tyne Β· Newcastle
Qualification
Degree
Length
3 yrs
UK fees / yr
Β£9,535
Study
full-time
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

Computing and mathematics is a combination that reflects the deep historical and intellectual connection between the two disciplines. Mathematics provides the formal language in which computing is built: logic, discrete mathematics, algorithms, probability, and linear algebra are all mathematical in origin, and a strong mathematical foundation makes you a significantly more capable computer scientist. Equally, computing provides a set of powerful tools for applying mathematical ideas to real-world problems, from simulating physical systems to processing large datasets and solving optimisation problems at scale.

At Newcastle University, this three-year full-time programme offers an unusually rich combination of structural features alongside the academic content. You will have the option of undertaking a placement year in industry, spending time at a partner institution abroad, and engaging with work placement opportunities during the programme, giving you extensive professional and international experience alongside your degree. This breadth of opportunity means you will graduate not only with strong technical skills but with the professional confidence and global awareness that employers increasingly value.

The typical entry tariff of 136 points reflects the programme's academic expectations, which are suited to students with a solid background in both subjects.

You will study core topics in computing such as software engineering, systems programming, databases, and human-computer interaction, alongside mathematical subjects including calculus, statistics, discrete mathematics, and numerical methods. As the programme progresses you will be able to follow threads that interest you most, whether that is theoretical computer science, data science, machine learning, or mathematical modelling. Graduates are highly sought after across the technology sector, financial services, data analytics, research, and consulting.

Many go on to postgraduate study in computing, data science, artificial intelligence, or applied mathematics, and the combination of skills this programme develops makes you competitive in a wide range of technical and analytical roles.

Could you get in?
The grades students arrived with
48-63 pts1%
64-79 pts1%
80-95 pts1%
96-111 pts6%
112-127 pts22%
128-143 pts20%
144-159 pts18%
160-175 pts8%
176-191 pts5%
192-207 pts3%
208-223 pts2%
How they qualified
88% got in with A-levels. The rest came in a mix of ways:
A-levels88%
other higher education5%
the IB3%
another degree2%
an Access course1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
99%
In work or further study after
93%
Continue past first year
88%
Student satisfaction
What graduates earn over time
Β£33,000
3 years on
Β£43,000
5 years on
What graduates actually go on to do % of leavers
Administrative occupations15%
Information Technology ProfessionalsHighly skilled61%
Finance ProfessionalsHighly skilled20%
Teaching ProfessionalsHighly skilled20%
Science, engineering and technology associate professionalsHighly skilled10%
Customer service occupations2%
Elementary occupations5%
Business and public service associate professionalsHighly skilled10%
What students say National Student Survey
88%
of students are satisfied with the course overall
Teaching84%
Assessment & feedback81%
Academic support68%
Well organised90%
Learning resources90%
Student community92%
In students' own words
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Highly recommend
I've grown so much academically and personally here. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” local cost of living …
Class of 2023 Β· Full-time
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Highly recommend
Honestly, one of the best decisions I've made. The best part: the career fair connections with top tech employers are genuinely valuable. If I'm honest, admin can be slow to respond, especially at start of term. On the city β€” good transport…
Class of 2022 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 Newcastle Upon Tyne'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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