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2023/24
2024/25

BSc Mathematics and Statistics with Data Science with a Placement Year

  • UCAS code
    GG17
  • Typical offer
    ABC
  • Year of entry
    2023/24 See 2024/25 entry
  • Course duration
    Full Time:  4 Years

Join our BSc Mathematics and Statistics with Data Science with a Placement Year degree and develop the skills you'll need to become a quantitative scientist. 

This four-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 Aapplications 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 with a Placement Year

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.

Placement within industry

This course features a placement year that you will undertake between your second and final year of study. Our dedicated placements officer can provide you with advice and support for finding the ideal placement, writing a CV and developing your interview skills.

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

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.

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).

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.

New UK/Republic of Ireland students: £9,250

New international students: £24,500

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.

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.

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; of those in full-time employment, 91% are in graduate-level roles (based on our analysis of HESA data © HESA 2022, Graduate Outcomes Survey 2019/20; 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.