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CHOOSE A SUBJECT
2025/26
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  • Accounting
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  • Wildlife Conservation
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Subjects A-C

  • Accounting
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  • Data Science
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  • Pharmacy
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  • Real Estate and Planning
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Subjects A-B

  • Accounting
  • Agriculture
  • Ancient History
  • Anthropology
  • Archaeology
  • Architectural Engineering
  • Architecture
  • Art
  • Biochemistry
  • Biological Sciences
  • Biomedical Engineering
  • Biomedical Sciences
  • Bioveterinary Sciences
  • Building and Surveying
  • Business and Management

Subjects C-E

  • Chemistry
  • Classics and Classical Studies
  • Climate Science
  • Computer Science
  • Construction Management
  • Consumer Behaviour and Marketing
  • Creative Writing
  • Criminology
  • Drama
  • Ecology
  • Economics
  • Education
  • Engineering
  • English Language and Applied Linguistics
  • English Literature
  • Environment

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  • Film & Television
  • Finance
  • Food
  • Foundation programmes
  • French
  • Geography
  • German
  • Graphic Communication and Design

Subjects H-M

  • Healthcare
  • History
  • International Development
  • International Foundation Programme (IFP)
  • International Relations
  • Italian
  • Languages and Cultures
  • Law
  • Linguistics
  • Marketing
  • Mathematics
  • Medical Sciences
  • Meteorology and Climate
  • Microbiology
  • Museum Studies

Subjects N-T

  • Nutrition
  • Pharmacology
  • Pharmacy
  • Philosophy
  • Physician Associate Studies
  • Politics and International Relations
  • Psychology
  • Real Estate and Planning
  • Sociology
  • Spanish
  • Speech and Language Therapy
  • Surveying and Construction
  • Teaching
  • Theatre & Performance

Subjects U-Z

  • Wildlife Conservation
  • Zoology

We are in the process of finalising our postgraduate taught courses for 2026/27 entry. In the meantime, you can view our 2025/26 courses.

BSc Mathematics and Statistics with Data Science with a Placement Year

  • UCAS code
    GG17
  • A level offer
    ABC
  • Year of entry
    2026/27 See 2025/26 entry
  • Course duration
    Full Time:  4 Years
  • Year of entry
    2026/27 See 2025/26 entry
  • Course duration
    Full Time:  4 Years

Gain the skills to become a quantitative scientist, along with vital industry experience, with our BSc Mathematics and Statistics with Data Science with a Placement Year 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 with a Placement Year

  • 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 4th in the UK for environmental and ethical performance (People and Planet University League, 2024/25), and won the inaugural Times Higher Education (THE) award for Outstanding Contribution to Environmental Leadership in 2023.
  • The University of Reading has been named Sustainable University of the Year in The Times and The Sunday Times Good University Guide 2025.

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

This 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.

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, 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.

  • Read about Francesca Stranders experiences at Morgan Stanley and Sally Cockayne's placement with pharmaceutical giant GlaxoSmithKline (GSK).

If you'd prefer not to do a year-long placement, you can choose our three-year BSc Mathematics and Statistics with Data Science degree, which offers a variety of 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

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.

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.

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.



Overview

Gain the skills to become a quantitative scientist, along with vital industry experience, with our BSc Mathematics and Statistics with Data Science with a Placement Year 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 with a Placement Year

  • 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 4th in the UK for environmental and ethical performance (People and Planet University League, 2024/25), and won the inaugural Times Higher Education (THE) award for Outstanding Contribution to Environmental Leadership in 2023.
  • The University of Reading has been named Sustainable University of the Year in The Times and The Sunday Times Good University Guide 2025.

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

This 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.

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, 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.

  • Read about Francesca Stranders experiences at Morgan Stanley and Sally Cockayne's placement with pharmaceutical giant GlaxoSmithKline (GSK).

If you'd prefer not to do a year-long placement, you can choose our three-year BSc Mathematics and Statistics with Data Science degree, which offers a variety of 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.

Learning

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.

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.

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.



Entry requirements A Level ABC

Select Reading as your firm choice on UCAS and we'll guarantee you a place even if you don't quite meet your offer. For details, see our firm choice scheme.

 Our typical offers are expressed in terms of A level, BTEC and International Baccalaureate requirements. However, we also accept many other qualifications.

Typical offer

ABC with an A in Maths, and if you place us as your Firm choice we will accept you with one grade lower than this, including accepting a B in Maths at A-level (e.g BBC with Maths at B or ABD with Maths at either A or B).

If you are studying an Extended Project Qualification (EPQ) in addition to your A levels and achieve a B in the EPQ we will accept ACC at A level with an A in Mathematics. If you place us as Firm choice we will accept BCC with a B in Mathematics alongside a B in the EPQ.

International Baccalaureate

30 points overall including 6 in Maths at higher level. If you place us as your Firm choice we will accept you with 28 points overall including 5 in Maths at higher level.

Extended Project Qualification

In recognition of the excellent preparation that the Extended Project Qualification (EPQ) provides to students for University study, we can now include achievement in the EPQ as part of a formal offer.

BTEC

Not accepted unless studied alongside A level Maths. The BTEC Extended Diploma cannot be accepted on its own to cover the Maths subject requirement.

English language requirements

IELTS 6.5, with no component below 5.5

For information on other English language qualifications, please visit our international student pages.

Alternative entry requirements for International and EU students

For country specific entry requirements look at entry requirements by country.

International Foundation Programme

If you are an international or EU student and do not meet the requirements for direct entry to your chosen degree you can join the University of Reading’s International Foundation Programme. Successful completion of this 1 year programme guarantees you a place on your chosen undergraduate degree. English language requirements start as low as IELTS 4.5 depending on progression degree and start date.

  • Learn more about our International Foundation programme

Pre-sessional English language programme

If you need to improve your English language score you can take a pre-sessional English course prior to entry onto your degree.

  • Find out the English language requirements for our courses and our pre-sessional English programme

Structure

  • Year 1
  • Year 2
  • Year 3
  • Year 4

Compulsory modules

Real Analysis I

Explore mathematical analysis concepts including inequalities, sequences, series and functions.

Calculus 

Extend your existing knowledge of calculus into two or more dimensions, exploring techniques of ordinary differential equations of the first and second order and learning how programming has mathematical applications.

Foundations of Mathematics

Gain a solid introduction to fundamental topics in mathematics and develop the necessary skills to study mathematics at university-level. You’ll focus on the concept of sets, functions and various familiar number systems, as well as the importance of proofs and how to construct them.

Linear Algebra

Learn how to solve systems of linear equations, determine eigenvalues and eigenvectors, and develop the algebra of matrices which are used as a stepping-stone to the more general theory of liner and inner-product spaces.

Mathematical Communication 

Discover the importance of expressing mathematical concepts and results clearly, logically and concisely and how to implement basic problem-solving strategies such as data visualisation, pattern exploration and programming.

Probability and Statistics  

Understand probability and probability distributions, results and techniques for statistical reference and data science, and regression and hypothesis testing.

These are the modules that we currently offer for 2024/25 entry. They may be subject to change as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

You can also register your details with us to receive information about your course of interest and study and life at the University of Reading.

Compulsory modules

Differential Equations 

Build on your knowledge of ordinary differential equations and explore partial differential equations and their applications. You’ll explore non-constant coefficients, integral and series solutions, Fourier series, the theory of boundary value problems, diffusion equations, wave equations and Laplace’s equation.

Linear Models and Data Analysis 

Gain understanding of the most common models, including multiple linear regression and completely randomised designs, and explore the key principles of planned experiments. Learn how models are applied to practical problems and gain experience of real-life data analysis.

Probability and Statistical Theory 

Uncover the interplay between probability theory and fundamental areas of mathematics, and formulate general real or abstract problems in a probabilistic model.

Numerical Analysis I 

Describe, analyse and implement numerical methods for problems in continuous mathematics, including solution of linear equations and nonlinear scalar equations, interpolation, scalar optimisation and solution of ordinary differential equations.

Mathematical Modelling and Professional Skills

Develop your problem-solving and independent research skills by applying mathematical modelling techniques to solve real-world problems across a broad range of scientific, engineering and economical areas. You’ll also expand your team-working, presentation, career management, technical, verbal and written communication skills.

Optional modules

Algebra 

Understand the concepts of abstract algebra, including groups, rings and fields and the connections between them.

Programming in Python

Using Python programming languages, develop your skills and knowledge to use current tools in general program designs, development and data science. You’ll also develop transferable professional skills for a variety of fields that use programming.

Real Analysis II 

Expand your understanding analysis to cover continuity of functions, integration and differentiation.

Mathematical Methods and Physical Applications

Discover how vector calculus and variational principles are applied to various areas of physics, such as classical mechanics, elements of electromagnetism and diffusion.

These are the modules that we currently offer for 2024/25 entry. They may be subject to change as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

You can also register your details with us to receive information about your course of interest and study and life at the University of Reading.

Placement Year

Compulsory modules

Advanced Statistical Modelling

Develop an understanding of situations in which different models are likely to be appropriate, learning more about generalised linear models, repeated measurement data, and traditional and modern approaches to data analysis.

Methods of Machine Learning

Gain familiarity with the range of methods used in statistical machine learning and demonstrate how these are used in research and industry. You’ll have the opportunity to implement machine learning methods using statistical software and interpret and communicate your findings.

Portfolio of Projects

Conduct a series of projects on mathematical or statistical topics and develop your technical and professional skills.

Optional modules

Probability and Measures

Explore measure theory, integration and measure theoretic probability.

Complex Analysis

Gain an introduction to complex analysis and how its functions can be represented, exploring aspects such as power series, exponential functions, trigonometric functions and hyperbolic functions.

Metric Spaces and Functional Analysis

Study analysis from a more general perspective based on the concepts of distance, including Normed, metric spaces, the concepts of convergence, continuity, compactness and completeness.

Applied Stochastic Processes

Learn how to solve problems using stochastic processes and concepts from a variety of applications, including molecular motion, population dynamics, weather and finances.

Numerical Analysis II

Motivate, develop and analyse a range of algorithms for the approximate solution of problems of continuous mathematics and techniques in numerical linear algebra.

Number Theory and Cryptography

Explore a range of topics within number theory and cryptography, including the RSA cryptosystem and error correcting codes.

Dynamical Systems and Applications

Analyse dynamical systems and their applications to real-world problems. You’ll explore systems of linear and nonlinear differential equations, and understand how they’re applied to biological issues such as population growth, cell systems, and the spread of infectious diseases.

Partial Differential Equations and Applications

Examine partial differential equations and how they appear in practical applications and natural phenomena, in particular fluid mechanics, water waves and wave scattering theory.

Asymptotic Methods

Discover the basic ideas of asymptotic analysis and further develop your skills in solving a range of problems involving nonlinear equations, integrals and differential equations.

Image Analysis and Visual Intelligence

Gain theoretical and practical knowledge of image analysis and computer vision by using real-world applications. You’ll develop professional skills such as problem solving, team-working, critical analysis, creativity and technical report writing for various audiences.

Data Integration and Information Visualisation

Transform raw data into visual insights to develop your understanding of data integration. You’ll work with peers to critically reflect on design process and outcomes, using commercial software tools and writing professionally for software design documents.

Computer Graphics, Games and Virtual Reality

Study virtual reality in terms of scientific issues, application areas and strengths and weaknesses of the technology. You’ll use software to design virtual worlds and/or games and learn techniques for their creation using computer graphics.

Mathematical Physics

Explore the core topics of mathematical physics, in particular Hamiltonian formulation of classical mechanics, quantum mechanics and statistical mechanics. 

Text Mining and Natural Language Processing

Study the field of text mining and natural language processing, focusing on the theories and practice of processing text data from the aspects of lexicons, syntactics and semantics.

Blockchain and Security

Deploy blockchain for various applications, gaining a theoretical and practical understanding that develops your critical thinking, writing and design skills. You’ll reflect on rationale, benefits and potential societal and environmental impacts, specifically carbon emissions. 

These are the modules that we currently offer for 2024/25 entry. They may be subject to change as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

You can also register your details with us to receive information about your course of interest and study and life at the University of Reading.

Fees

New UK/Republic of Ireland students: The University of Reading will charge undergraduate home tuition fees at the upper limit as set by the UK government for the relevant academic year. The fee cap for 2026/27 hasn't been confirmed yet. Please check the fees and funding webpage for the latest information. The annual fee for 2025/26 is £9,535.

New international students: £30,650 for 2026/27. The International tuition fee is subject to annual increases changes in subsequent years of study as set out in your student contract. For more details, please visit our Fees for International Students page.

Tuition fees

To find out more about how the University of Reading sets its tuition fees, see our fees and funding pages.

Additional costs

Some courses will require additional payments for field trips and extra resources. You will also need to budget for your accommodation and living costs. See our information on living costs for more details.

Placement Year fees

If you spend a full year on placement – including professional and research placements and industrial experience – you’ll pay a discounted tuition fee for that year.

For Home/EU students, the discounted fee is subject to parliamentary approval and is currently capped at £1,385.

For International students, the discount is 15% of your normal tuition fee.

For more information, please contact placements@reading.ac.uk.

Financial support for your studies

You may be eligible for a scholarship or bursary to help pay for your study. Students from the UK may also be eligible for a student loan to help cover these costs. See our fees and funding information for more information on what's available.

Careers

Career opportunities with BSc Mathematics and Statistics with Data Science

Your mathematical and statistical knowledge – combined with the computing, teamwork and presentation skills you’ll gain during your degree – are highly valued by a range of employers.

  • Learn how Alice Windruss’s studies at Reading led to a graduate role in the University’s Planning and Strategy Office.

Overall, 90% of graduates from Mathematics and Statistics are in work or further study within 15 months of graduation (Based on our analysis of HESA data © HESA 2024, Graduate Outcomes Survey 2021/22; includes first degree Mathematics and Statistics responders).

You could choose to work as a mathematician or statistician for public sector organisations, such as health authorities or the Office for National Statistics, or find a career in the private sector.

Your mathematics degree is well-suited to a range of careers, including:

  • accountancy
  • financial analysis
  • engineering
  • modelling
  • computing
  • actuarial work.

Previous Reading graduates have gone on to work for organisations such as:

  • BDO
  • Civil Service
  • Deloitte
  • EY
  • Grant Thornton
  • JLL
  • Lloyds Banking Group
  • IBM
  • IQVIA
  • KPMG
  • NHS
  • Pepsi Co
  • PwC.

You could also further develop your skills by moving into research, teacher training, or postgraduate study.

Based on our analysis of HESA data © HESA 2020-2024, Graduate Outcomes Surveys 2017/18-2021/22, includes undergraduate responders from the Department of Mathematics.

Life in the Department of Mathematics and Statistics

Find out what it's like to study in the Department of Mathematics and Statistics at the University of Reading.

Not only has the University increased my knowledge of Mathematics and Statistics but it has also made me a far more confident person. It is nice to know that whenever you have a problem, whether it is personal or academic, help is only round the corner.

Lonneke Spierings
MMath Mathematics

Contextual offers


We make contextual offers for all our courses.

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