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...
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.<br/><br/>At Leeds, we see data science as an exciting and multidisciplinary field broadly at the intersection of mathematics, computer science and communication.<br/><br/>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.<br/><br/>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!<br/><br/>**Why study at Leeds:**<br/>- 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.<br/><br/><br/>- 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.<br/><br/><br/>- 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.<br/><br/><br/>- Access excellent facilities and computing equipment in collaborative hackathon-style workshops, complemented by social areas, communal problem-solving spaces and quiet study rooms.<br/><br/><br/>- Broaden your experience and enhance your career prospects with our industrial placement opportunities or study abroad programmes.<br/><br/><br/>- 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.<br/>
3 options available
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Full-time
Duration
4 Years
Start Date
23/09/2026
Campus
Main Site
14 January
Application deadline
Provider Details
Codes/info
Course Code
G200
Institution Code
L23
Points of Entry
Year 1
Not Accepted
Suitable combinations of Scottish Higher and Advanced Highers are acceptable, though mathematics must be presented at Advanced Higher level. Typically AAAABB Including grade A in Advanced Higher Mathematics
Normally only accepted in combination with grade A in A Level Mathematics or equivalent.
17 points at Higher Level including 6 in Higher Level Mathematics (Mathematics: Analytics and Approaches is preferred).
BTEC qualifications in relevant disciplines are considered in combination with other qualifications, including grade A in A-level mathematics, or equivalent
H2 H2 H2 H2 H2 H2 including Mathematics.
D3 D3 M2 or D2 M1 M1 where the first grade quoted is in Mathematics OR D3 M1 M2 or D2 M2 M2 including Further Maths where the first grade quoted is Mathematics.
Extended Project Qualification (EPQ) and International Project Qualification (IPQ): We recognise the value of these qualifications and the effort and enthusiasm that applicants put into them, and where an applicant offers the EPQ, IPQ or ASCC we may make an offer of AAB/A*BB including a minimum of grade A in Mathematics, plus A in EPQ/IPQ/Welsh Bacc ASCC.
A,A,A
AAA/A*AB including a minimum of grade A in Mathematics, AAB/A*BB including a minimum of grade A in Mathematics plus Further Mathematics, or AAB/A*BB including a minimum of grade A in Mathematics, plus A in AS Further Mathematics. Where an A-Level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade. Excludes A-Level General Studies or Critical Thinking.
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Unfortunately, we're unable to gather fee information for this course. Click here to find out more about Data Science BSc (Hons)'s funding options on the university's website.