Mathematics with Computer Science
University of Plymouth
UCAS Code: G1I0 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
112 to 128 UCAS points to include a minimum of 2 A levels including Grade B in Mathematics or Further Mathematics. (Pure Maths, Pure and Applied Maths, Maths and Statistics, Maths and Mechanics are also accepted as they are considered the same as the Maths A Level).
Considered in combination alongside A Level Mathematics or Further Mathematics.
Interview and diagnostic maths test required. Standard offer would then be to Pass Access to HE Diploma with at least 33 credits at Merit and/or Distinction and to include at least 12 credits in Mathematics units with Merit.
Considered in combination alongside A Level Mathematics or Further Mathematics.
Considered in combination
International Baccalaureate Diploma Programme
To include Grade 5 in Higher Level Mathematics. English Language accepted within.
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
including Mathematics.
Considered in combination alongside A Level Mathematics or Further Mathematics.
Considered in combination alongside A Level Mathematics or Further Mathematics.
Considered in combination with A Level Mathematics or Further Mathematics.
Considered in combination with A Level Mathematics or Further Mathematics.
Considered in combination with A Level Mathematics or Further Mathematics.
Considered following Interview and/or diagnostic Maths test . Standard offer would be in the range of DDM to include a Distinction in a Mathematics unit.
Considered in combination with A Level Mathematics or Further Mathematics.
Considered in combination alongside A Level Mathematics or Further Mathematics.
120 points including a Grade B in Advanced Highers Mathematics.
Considered in combination with Advanced Highers
UCAS Tariff
To include a minimum of 2 A levels, including grade B in Mathematics or Further Mathematics. (Pure Maths, Pure and Applied Maths, Maths and Statistics, Maths and Mechanics are also accepted as they are considered the same as the Maths A Level).
Considered in combination
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
Combine your passion for Mathematics and Computer Science. The two subjects have common roots stretching back to the dawn of computing and together have solved some of the most fundamental problems in science and industry. You will explore the beauty of mathematics in familiar areas such as calculus, algebra and probability, taught in a new and inspiring way, and extend your skills into computing-intensive topics such as fluid dynamics, artificial intelligence and high performance computing.
As a graduate of this degree you can exploit the increase in available computing power, which is key to future economic growth and enhances your employability.
- Acquire state-of-the-art mathematical and computing skills that are highly sought after by industry, including machine learning and optimisation.
- Understand and develop algorithms that are essential for the modern world, while mastering computer programming using languages such as Python and R.
- Be trained in parallel computing, something rarely offered at undergraduate level, using our campus supercomputer.
- Be inspired by the research activities of staff – interests include artificial intelligence, large scale simulations, offshore renewable energy, quantum physics and environmental statistics.
- Enjoy new facilities – state of the art lecture theatres, computer laboratories, study and social spaces – in our £50 million teaching and research building that opened in 2023.
- Core modules are shared with BSc Mathematics, allowing the flexibility of easy transfer to our other mathematics degrees.
- 100% of our students agreed that staff are good at explaining mathematics in the 2022 National Student Survey.
Modules
In Year 1, learn the underlying mathematics that underpins the rest of your degree. Master coding in the industrial software Python, right from the start and apply it in algorithms to solve real-world problems including public key cryptography. You’ll begin by building on the mathematical skills and topics you learnt at school, studying six core modules including calculus, linear algebra, numerical methods, pure mathematics, and probability. We’ve structured the curriculum so that all of our students acquire a common mathematical expertise, so you’ll also have the flexibility to move between courses as you progress.
In your second year, you'll expand your rigorous understanding of mathematics, always accompanied by the study of applications. This year also includes topics in artificial intelligence, including evolutionary algorithms and machine learning. Operational research introduces Monte Carlo methods, which rely on randomness and sampling to solve impactful problems.
You'll have the opportunity to participate in an optional but highly recommended placement year, providing valuable paid professional experience and helping make your CV stand out. Typically students are paid around £17,000 and placement providers have included the Department for Communities and Local Government, Fujitsu, GlaxoSmithKline, Vauxhall Motors, VirginCare, Visteon and Jagex Games Studio.
In your final year, master state-of-the-art topics such as large-scale simulations, machine learning from a Bayesian perspective, and big data. Options include elliptic curve cryptography, quantum computing and optimisation of problems such as wind turbine placement. You also do an individual or group project module, which offers you the chance to study a topic of your choice in depth.
The modules shown for this course or programme are those being studied by current students, or expected new modules. Modules are subject to change depending on year of entry and up to date information can be found on our website
Assessment methods
For up to date details, please refer to our website or contact the institution directly.
The Uni
University of Plymouth
School of Engineering, Computing and Mathematics
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Mathematics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
Mathematics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computer science
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£25k
£28k
£34k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Mathematics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£20k
£23k
£32k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Higher entry requirements
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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