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BSc Mathematics and Statistics with Data Science with a Placement Year

University of Reading

Join our BSc Mathematics and Statistics with Data Science with 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.

In mathematics you will study:

In statistics and data science you will cover:

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

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.

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Listed below are the documents required to apply for this course.
4 years


Sep 2024

Start Month

Aug 2024

Application Deadline

Upcoming Intakes

  • September 2024
  • September 2025
  • September 2026

Mode of Study

  • Full Time