BSc Mathematics and Statistics with Data Science
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UCAS code
GG13 -
A level offer
ABC -
Year of entry
2025/26 -
Course duration
Full Time: 3 Years
-
Year of entry
2025/26 -
Course duration
Full Time: 3 Years
Gain the skills you'll need to be a quantitative scientist with our BSc Mathematics and Statistics with Data Science degree.
Expertise in data science, statistics and mathematics is increasingly important in a wide range of areas, including finance and business, climate science, medicine, and the civil service.
This course will equip you with the skills to work confidently in all three disciplines, and to bridge the gaps between them.
Choose BSc Mathematics and Statistics with Data Science at the University of Reading
- Enjoy an enviable staff to student ratio, with a personalised focus on your education. 97% of our students said teaching staff are good at explaining things (National Student Survey 2024, 96.97% of responders from the Department of Mathematics and Statistics).
- 98% of our mathematical research is world leading or internationally excellent. 100% of our research impact has been classed outstanding or very considerable (Research Excellence Foundation 2021, combining 4* and 3* submissions – Mathematical Sciences).
- The University of Reading is in the top 125 in the world for Physical Sciences (Times Higher Education World University Rankings 2024, by Subject).
- The University is ranked 1st in the UK for environmental and ethical performance (People and Planet University League, 2023/24), and won the inaugural Times Higher Education (THE) award for Outstanding Contribution to Environmental Leadership in 2023.
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 14 consecutive years in the Green Flag Awards.
What you’ll study
Our BSc Mathematics and Statistics with Data Science course has been designed to develop your expertise in mathematics and statistical theory. You’ll also learn how to apply statistics and data science methods to real-world problems and complex data sets.
In maths you will study:
- calculus
- analysis
- linear algebra
- differential equations.
In statistics and data science you will cover:
- linear models
- statistical computing
- probability
- regression and classification methods
- unsupervised machine learning.
You’ll also gain expertise in computing, particularly in the use of statistical software to interpret and communicate findings.
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
In the Department of Mathematics and Statistics, we are passionate about creating a friendly, 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. 97% of our students said it was easy to contact teaching staff when they needed to (National Student Survey 2024, 96.97% 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.
97% of students in the Department of Mathematics and Statistics said our teaching staff were good or very good at explaining things (National Student Survey, 2023).
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.
Our research has contributed to knowledge in areas such as weather prediction, climate forecasting, and the design and analysis of clinical trials.
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.
To find out more, view the staff stories on our Department website.
Professional placements
We offer a variety of summer placements – in areas such as finance, statistics or modelling – to provide you with valuable experience and insight into industry.
Our dedicated placements officer can offer advice and support to find your ideal placement, as well as developing your CV and interview skills.
Alternatively, you can choose our four-year BSc Mathematics and Statistics with Data Science with a Placement Year course, which includes a year-long placement between your second and final year.
- Read about Francesca Stranders experiences at Morgan Stanley and Sally Cockayne's placement with pharmaceutical giant GlaxoSmithKline (GSK).
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.