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Mathematics with Computer Science at University of Plymouth - UCAS

Course options

2024 - 20252025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

University of Plymouth has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Open days

26Apr
University of Plymouth - Open Day
Undergraduate
18Jun
University of Plymouth - Open Day
Undergraduate

Course summary

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.

  • 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.
  • 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.

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 method

For up to date details, please refer to our website or contact the institution directly.

Qualified teacher status (QTS)

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

  • Course does not award QTS

How to apply

29Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2

Entry requirements for advanced entry (i.e. into Year 2 and beyond)

Please contact the institution directly

International applicants

The University of Plymouth has a dedicated International Student Advice (ISA) service who will support you from the day you accept an offer at the University, right through to graduation. They will offer help and advice so you can get the most out of your studies, and your time in the UK, visit www.plymouth.ac.uk/student-life/services/international-students/international-student-advice for more information. Once you have applied through UCAS, your conditional offer letters will also be sent to you by email, so be sure to enter your current email address on your application and to check this email regularly. You'll need your unconditional letter, and the Confirmation of Acceptance for Studies (CAS) that we'll send you, when applying for your student visa to the UK. A tuition fee deposit will be required before we'll send you the CAS. We're a licenced Sponsor under the Points Based System. To comply with our duties as a Sponsor, we're required to check other aspects of your application in addition to your academic achievements, for example any previous studies, financial status and your immigration history in the UK. For course entry requirements (inc. English requirements) please refer to the specific page for the course you are interested in (www.plymouth.ac.uk/study). A recognised English language qualification (e.g. IELTS) would be required or successful completion of one of the University's pre-sessional English Language courses. Check our country pages to find out more about application from your specific home country www.plymouth.ac.uk/international/study/international-students-country-guides. International fees, please visit our fees and funding pages www.plymouth.ac.uk/study/fees. If you have any questions please contact [email protected]

Entry requirements

Qualification requirements

Must have GCSE English and Maths at Grade C/ 4 or above.

Student Outcomes

Operated by the Office for Students
80%
Employment after 15 months (Most common jobs)
95%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

For all information about tuition fees, please visit our fees and funding pages at www.plymouth.ac.uk/study/fees * Fees are correct at the time of publication and may be subject to change.
Mathematics with Computer Science at University of Plymouth - UCAS