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Mathematics and Data Science

2 Study options · UndergraduateMain Site
Awarded by:
University of London

Course summary

This BSc Mathematics and Data Science offers you a distinctive blend of rigorous mathematical theory and practical data science skills designed to prepare you to tackle real-world problems.

Why choose this course?

  • Located in the heart of London, this course offers you state-of-the-art facilities and strong industry partnerships, so you can take advantage of ample opportunities for hands-on learning, internships and collaborative projects.

  • It is led by experts in mathematics and data science who bring a wealth of knowledge and industry experience to the classroom and provide you with unparalleled insights and mentorship.

  • Whether you aspire to work in finance, technology, healthcare or academia, this course will equip you with the analytical and computational skills you need to excel in a wide range of fields.

What you will learn

This course offers you learning in advanced topics such as machine learning, statistical inference and big data, alongside fundamental mathematics including calculus, algebra and probability.

It places a strong emphasis on both theoretical understanding and practical application, enabling you to develop a skillset that incorporates multiple programming languages, database management and AI technologies, to help ensure that you are well prepared for the demands of the modern, data-driven world.

How you will learn

This course is taught through a combination of lectures (some pre-recorded), seminars and group and individual work, as well as practical lab work. You will have the opportunity to choose from option modules to tailor your learning to your interests. You will also undertake a final-year project in which you will be able to apply your skills to real-world issues and gain valuable experience relevant to your career aspirations.

This course is available for full- or part-time study. It has an evening timetable with classes taking place in the evening.

Foundation Year

If you opt for the Foundation Year route, this will fully prepare you for undergraduate study. It is ideal if you are returning to study after a gap, or if you have not previously studied the relevant subjects, or if you didn't achieve the grades you need for a place on your chosen undergraduate degree.

Highlights

  • In the 2023 National Student Survey, Birkbeck was ranked the top university in the UK for Mathematical Sciences in four of the eight categories, including 'Teaching on my Course', 'Assessment and Feedback' and 'Academic Support'.

  • Our world-class research activity informs our teaching and we provide a stimulating teaching and research environment for both part-time and full-time students.

  • Birkbeck established one of the first computing departments in the UK in 1957 and was a pioneer in data science studies, database technologies and eCommerce.

  • Our high-quality teaching and research foster our interactions with business, public and third sector organisations, offering our students unique opportunities in their studies.

Careers and employability

On successfully graduating from this BSc Mathematics and Data Science, you will have gained important transferable skills, including how to:

  • present, analyse and interpret data

  • comprehend conceptual and abstract material

  • develop a logical and systematic approach to problem-solving

  • learn independently using a variety of media

  • communicate effectively

  • complete a sustained and substantial task in a limited time period.

Graduates can pursue career paths in data science, programming and finance. Possible professions include:

  • actuary

  • data scientist

  • economist

  • statistical analyst

  • business analyst

  • management consultant

  • market research analyst

  • technology professional

  • software developer

  • financial analyst

  • teacher

  • accountant.

You may also decide to progress your studies further with postgraduate-level study on Birkbeck's MSc Applied Statistics.

How to apply

Application codes

Course code:
I109
Institution code:
B24

This course may be available at alternative locations, please check if other course options are available.

Course options

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Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

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Fees and funding

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