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BSc Mathematics with Computer Science with a Placement Year
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UCAS code
GG41 -
Clearing Offer
Please contact us to discuss entry requirements -
Year of entry
2025/26 See 2026/27 entry -
Course duration
Full Time: 4 Years
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Year of entry
2025/26 See 2026/27 entry -
Course duration
Full Time: 4 Years
Develop expertise in mathematics and computing, and gain vital industry experience, with our BSc Mathematics with Computer Science with Placement Year degree.
Choose BSc Mathematics with Computer Science with a Placement Year
- Enjoy an enviable staff to student ratio, with a personalised focus on your education. Overall, 98% of our students said teaching staff are good at explaining things (National Student Survey 2025, 98% of responders from the Department of Mathematics and Statistics).
- In Computer Science, 100% of our research impact has been classed outstanding or very considerable (REF 2021, combining 4* and 3* submissions – Computer Science and Informatics).
- In Mathematics and Statistics, 98% of our research is world leading or internationally excellent and 100% of our research impact has been classed outstanding or very considerable (REF 2021, combining 4* and 3* submissions – Mathematical Sciences).
Your study will take place on our parkland campus at Whiteknights, which has been voted among the best and most popular green spaces in the UK for 15 consecutive years in the Green Flag awards. Moreover, here at Reading, we're taking action to build a better global future for everyone:
- Sustainable University of the Year in The Times and The Sunday Times Good University Guide 2025
- 4th in the UK for environmental and ethical performance (People and Planet University League, 2024/25)
- Winner of the inaugural Times Higher Education (THE) award for Outstanding Contribution to Environmental Leadership in 2023.
What you’ll study
With learning roughly split into two-thirds maths and one-third computer science, this degree will equip you with skills in two disciplines that are highly-valued by employers.
You’ll develop essential mathematical knowledge and skills through modules that cover:
- calculus
- logic and problem-solving
- probability and statistics
- linear algebra
- differential equations.
In Computer Science, you’ll study the latest techniques in computing and gain programming skills that are vital in the technology industry. Your modules will include:
- imperative and object-oriented programming
- artificial intelligence
- programming in Python
- computer graphics and game design
- virtual reality.
In your third year, we offer a range of optional modules in both maths and computer science, enabling you to tailor your degree to your interests and career aspirations.
Placement year
This four-year degree includes an integrated, year-long work placement between your second and final year.
We offer a variety of placements – in areas such as finance, IT, statistics and modelling – to provide you with valuable experience and insight into industry.
Our dedicated placements team can offer advice and support to find your ideal placement, as well as developing your CV and interview skills.
If you'd prefer not to do a year-long placement, you can choose our three-year BSc Mathematics with Computer Science degree, which offers a variety of short-term and summer placement opportunities.
Chartered Mathematician designation
This course is approved by the Institute of Mathematics and its Applications to meet the educational requirements of Chartered Mathematician designation, when followed by subsequent training and experience in employment to obtain competencies equivalent to those specified by the QAA for taught masters degrees.
A supportive learning community
On our BSc Mathematics with Computer Science with a Placement Year course you'll study alongside students and staff in two supportive, friendly departments.
In the Department of Mathematics and Statistics, we are passionate about creating an inclusive learning environment.
You'll benefit from an enviable staff to student ratio, with a personalised focus on your education. In our small, close-knit community you won’t get lost in the crowd. Overall, 96% of our students said it was easy to contact teaching staff when they needed to (National Student Survey 2025, 95.9% of responders from the Department of Mathematics and Statistics).
You'll be taught by academics with a wealth of experience in industry, who are actively contributing to research in a wide range of areas. Our real-world expertise will enhance your learning, keeping you abreast of the latest developments in mathematics.
In addition to regular contact time with your lecturers, you'll receive plenty of support, including:
- small group problem-solving tutorials
- materials to help you manage the transition to university-level maths.
We’ll also encourage you to join our Student-Staff Partnership Group, enabling you to have a direct input into the student experience.
Maths research at the University of Reading
The Department of Mathematics and Statistics is a research-intensive department, with expertise in both pure and applied mathematics. The diversity of our work means we can support you in a range of topics and provide teaching from academics at the forefront of current research.
Our research has contributed to knowledge in areas such as weather prediction, climate forecasting, and the design and analysis of clinical trials.
- Professor Sue Todd combines methodological work on novel statistical design and analysis approaches with practical research to facilitate implementation of statistical methods in the healthcare sector.
- Dr Zuowei Wang studies structural and dynamic behaviours of natural and synthesized materials, providing valuable insights to address the sustainability challenge
- Professor Sarah Dance focusses on data assimilation and uses ideas from dynamical systems, numerical analysis and machine learning to improve forecasts of flooding and high impact weather.
- Dr Sugata Mondal contributes to two important problems: (1) small eigenvalues of surfaces; and (2) hot spots problems for Euclidean domains, and has had a significant impact for academics within the mathematical community.
To find out more, view the staff stories on our Department website.
Computer science facilities
Our well-equipped and regularly updated facilities pair with extensive specialist software to support your core studies and enable exploration of your own projects and interests. You’ll also benefit from access to dedicated technical support throughout your studies.
For teaching and research project work, we provide purpose-built computer labs with workstations running both Windows and Linux, alongside access to web hosting, virtual reality headsets, mobile phones, and Raspberry pi devices. Access to advanced GPU and CPU servers is supported by the University’s central HPC infrastructure, which is freely available to students.
We use a wide range of software packages to support your learning. These include:
- tools for software/apps development
- data analytics algorithms
- system modelling languages
- cloud and parallel computing platforms
- mathematical manipulation (eg MatLab).
Study Abroad
As part of your degree, you could choose to spend two weeks, a semester, or an academic year abroad.
We'll help you to decide where to go and for how long, guide you through the application process, and support you while you're abroad.
To find out more about the benefits of studying abroad, and discover where you could go, visit the Study Abroad website.