BSc Mathematics and Statistics with Data Science

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.

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.