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BSc Mathematics and Statistics with Data Science

  • UCAS code
    GG13
  • A level offer
    ABC
  • Year of entry
    2024/25 See 2023/24 entry
  • Course duration
    Full Time:  3 Years
  • Year of entry
    2024/25 See 2023/24 entry
  • Course duration
    Full Time:  3 Years

Develop the skills you'll need to be a quantitative scientist with our BSc Mathematics and Statistics with Data Science degree.

This three-year course includes modules in all three subject areas – mathematics, statistics, and data science – so you will be able to work confidently in the three disciplines and bridge the gaps between them.

Vast amounts of data are being collected about almost every aspect of the world. Data science and machine learning are now part of our everyday lives; they are applied to process and interpret this data, perform in-depth analyses with the aim of extracting valuable information, and build artificial intelligence (AI) models.

Expertise in data science, statistics and mathematics are thus becoming increasingly important in a wide range of areas including finance and business, climate science, medicine and the civil service.

This course, taught by University of Reading’s Department of Mathematics and Statistics, has been designed to develop your expertise in mathematics and statistics theory. You’ll also build your knowledge of applying statistics and data science methods to real-world problems and increasingly complex data.

This degree is accredited by the Institute of Mathematics and its applications to meet the educational requirements of the Chartered Mathematician designation when followed by subsequent training and experience in employment to obtain competencies to those specified by the Quality Assurance Agency (QAA) for taught master's degrees.

What you’ll study with BSc Mathematics and Statistics with Data Science

In mathematics 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.

During the second year you will also take a skills module, which is designed to improve your transferable skills and enhance your employability.

Supportive learning community

You will join a friendly, inclusive and collaborative community of students and staff. Our experts are passionate about creating an exceptional learning environment which will encourage you to develop in confidence and fulfil your potential.

You will be given plenty of support to help you get the most out of your studies, including:

  • small- group, problem-solving tutorials
  • materials to help you manage the transition to university-level mathematics.

Additionally, you can get involved with the Department's Staff Student Forums and the Student Teaching and Learning Group, enabling you to have a direct input into the student experience. 

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).

High-quality, interactive teaching

At the University of Reading, we’re passionate about the teaching and learning you’ll receive. Our academic staff members are committed to delivering teaching of the highest quality and collaborating with students throughout their studies. Varied teaching and assessment methods will enable you to extend your skills, knowledge and resilience, and play to your strengths.

Teaching is informed by the Department’s high-quality research – the University of Reading is in the top 100 in the world for Physical Sciences (Times Higher Education World University Rankings 2023, by Subject) and 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).

Placement within industry

You may choose to carry out a summer placement in an area such as finance, statistics or modelling to gain an insight into industry and gain valuable experience.

  • Read about Connor Vidal-Cocker and his invaluable experience within Gazprom Marketing and Trading

Alternatively, you can opt to take the four-year version of this course, incorporating a year in industry.

Our dedicated placements officer can provide you with advice and support for finding the ideal placement, writing a CV and developing your interview skills.

Study Abroad

As a four-year version of this course, you may also choose to study abroad for a year. Visit our Study Abroad website for more details.

For more information, please visit the Department of Mathematics and Statistics website.

Overview

Develop the skills you'll need to be a quantitative scientist with our BSc Mathematics and Statistics with Data Science degree.

This three-year course includes modules in all three subject areas – mathematics, statistics, and data science – so you will be able to work confidently in the three disciplines and bridge the gaps between them.

Vast amounts of data are being collected about almost every aspect of the world. Data science and machine learning are now part of our everyday lives; they are applied to process and interpret this data, perform in-depth analyses with the aim of extracting valuable information, and build artificial intelligence (AI) models.

Expertise in data science, statistics and mathematics are thus becoming increasingly important in a wide range of areas including finance and business, climate science, medicine and the civil service.

This course, taught by University of Reading’s Department of Mathematics and Statistics, has been designed to develop your expertise in mathematics and statistics theory. You’ll also build your knowledge of applying statistics and data science methods to real-world problems and increasingly complex data.

This degree is accredited by the Institute of Mathematics and its applications to meet the educational requirements of the Chartered Mathematician designation when followed by subsequent training and experience in employment to obtain competencies to those specified by the Quality Assurance Agency (QAA) for taught master's degrees.

What you’ll study with BSc Mathematics and Statistics with Data Science

In mathematics 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.

During the second year you will also take a skills module, which is designed to improve your transferable skills and enhance your employability.

Learning

Supportive learning community

You will join a friendly, inclusive and collaborative community of students and staff. Our experts are passionate about creating an exceptional learning environment which will encourage you to develop in confidence and fulfil your potential.

You will be given plenty of support to help you get the most out of your studies, including:

  • small- group, problem-solving tutorials
  • materials to help you manage the transition to university-level mathematics.

Additionally, you can get involved with the Department's Staff Student Forums and the Student Teaching and Learning Group, enabling you to have a direct input into the student experience. 

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).

High-quality, interactive teaching

At the University of Reading, we’re passionate about the teaching and learning you’ll receive. Our academic staff members are committed to delivering teaching of the highest quality and collaborating with students throughout their studies. Varied teaching and assessment methods will enable you to extend your skills, knowledge and resilience, and play to your strengths.

Teaching is informed by the Department’s high-quality research – the University of Reading is in the top 100 in the world for Physical Sciences (Times Higher Education World University Rankings 2023, by Subject) and 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).

Placement within industry

You may choose to carry out a summer placement in an area such as finance, statistics or modelling to gain an insight into industry and gain valuable experience.

  • Read about Connor Vidal-Cocker and his invaluable experience within Gazprom Marketing and Trading

Alternatively, you can opt to take the four-year version of this course, incorporating a year in industry.

Our dedicated placements officer can provide you with advice and support for finding the ideal placement, writing a CV and developing your interview skills.

Study Abroad

As a four-year version of this course, you may also choose to study abroad for a year. Visit our Study Abroad website for more details.

For more information, please visit the Department of Mathematics and Statistics 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.

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

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.

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.

Further Topics in Algebra

Continue your study of finite groups and apply your knowledge to Galois Theory.

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: £9,250

New international students: £27.650

UK/Republic of Ireland fee changes

UK/Republic of Ireland undergraduate tuition fees are regulated by the UK government. These fees are subject to parliamentary approval and any decision on raising the tuition fees cap for new UK students would require the formal approval of both Houses of Parliament before it becomes law.

EU student fees

With effect from 1 August 2021, new EU students will pay international tuition fees. For exceptions, please read the UK government’s guidance for EU students.

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.

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

Careers for BSc Mathematics and Statistics with Data Science graduates

This course will enhance your mathematical and statistical knowledge and refine your expertise in computing, teamwork and presentation – all highly desirable skills to a range of employers.

During this degree, you will learn how to explore data and identify specific research questions so you can conduct appropriate analysis. You’ll also use statistical software to interpret and communicate findings. These are really useful skills if you are considering a statistics or data science career, or if you wish to pursue further independent study in statistics and data science.

You may choose to work as a mathematician or statistician for public sector organisations, such as health authorities or the Office for National Statistics, or areas of the private sector including commerce and information technology. You could also pursue a number of related careers, such as:

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

Overall, 92% 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 2023, Graduate Outcomes Survey 2020/21; includes first degree Mathematics and Statistics responders).

Recent graduates have gone on to work for leading organisations, across a wide variety of sectors, including:

  • PepsiCo
  • the BBC
  • the Bank of East Asia
  • BAE Systems.

Alternatively, you can choose to further develop your skills and knowledge by moving into research, teacher training or postgraduate studies.

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
Lucy discusses mathematics at the University of Reading.

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