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Data Science at University of Leeds - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

We’re living in the age of big data. From the rise of smart devices to the day-to-day services we use, the field of data science has become crucial to making sense of all this data — and keeping major organisations ahead of this fast-moving industry. At Leeds, we see data science as an exciting and multidisciplinary field broadly at the intersection of mathematics, computer science and communication. Our Data Science BSc will equip you with advanced mathematical techniques such as machine learning and mathematical modelling to find patterns and to separate features in big data. You’ll also become an effective communicator and strategic thinker, able to understand and resolve complex problems – both individually and collaboratively in multi-professional and interdisciplinary teams. This means, when you graduate, you’ll be a practised programmer, mathematical modeller and strategic communicator, in other words, a well-rounded data scientist. The extensive skill set you’ll build throughout your degree is highly sought after across almost every industry worldwide, making data science an exceptionally lucrative career choice. If you enjoy doing creative detective work using the scientific tools and techniques to disentangle and tackle real-world problems, then data science at Leeds is the right course for you! Why study at Leeds:

  • Our globally-renowned research in data science, applied mathematics, statistics and financial mathematics feeds directly into the course, shaping your learning with the latest thinking and giving you an insight into relevant topics in industry.
  • Learn how to tackle real-world-inspired data problems in a supportive and collaborative environment taught by expert academics who specialise in a variety of areas in the field.
  • Tailor the course to suit your interests through interdisciplinary discovery modules that enable you to use your data insights throughout the course to address global challenges such as sustainability.
  • Access excellent facilities and computing equipment in collaborative hackathon-style workshops, complemented by social areas, communal problem-solving spaces and quiet study rooms.
  • Broaden your experience and enhance your career prospects with our industrial placement opportunities or study abroad programmes.
  • Make the most of your time at Leeds by joining our student society MathSoc where you can meet more of your peers, enjoy social events and join the MathSoc football or netball team.


How to apply

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Please click the following link to find out more about qualification requirements for this course

https://courses.leeds.ac.uk/202425/j747/data-science-bsc#entry


Student Outcomes

Operated by the Office for Students
75%
Employment after 15 months (Most common jobs)
90%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

For further information please see http://www.leeds.ac.uk/undergraduatefees
Data Science at University of Leeds - UCAS