MSc Data Science (Statistics)

Webinar on September 25: Experience Data Science Live: Course Demos from University Professors | Register here

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MSc Data Science (Statistics)

University of Leeds

Leading UK university

Ranked in the Top 100 universities in the world

24 months

12 courses total, 20 hours per week

£15,000 total cost

No application fee, with pay-as-you-go tuition

Performance-based admission path

Complete the first two courses with minimum 50% weighted average

100% online

Flexible learning from anywhere, with live sessions, real-world projects

Get ready to launch a career in data science

By combining core data science skills with a specialism in statistics, you’ll underpin your capabilities with a wealth of theoretical knowledge suited for data scientist positions.

When you graduate, you’ll be equipped to secure an advanced data-driven role in almost any industry.

  • Develop statistical expertise. You’ll use real-world tools and techniques to apply statistical methods in job-related contexts

  • Develop senior-level professional skills. You’ll learn to manage complex projects and critically engage with and evaluate sources, methods and data

  • Access a world of professional opportunities. You’ll be ready for a wide range of careers, including roles as a data analyst, data analytics manager, data scientist, statistician, data engineer, business analyst, and more

  • Learn to present and tell stories with data. Learn to impactfully communicate the results of your work, across a variety of different media and methods

Build a future-proof career in data science

Build the top-level skills needed to succeed in one of the fastest-growing fields in the world
Learn how developing data governance and ethical frameworks will shape how we use data
Explore high earning potential roles in a wide range of private and public sector industries
Respond to industry-wide skills shortages, and fast-track your progress to data science leadership

Applications for the Fall 2025 cohort are now closed!

Upcoming events

  • September 25: Experience Data Science Live: Course Demos from University Professors - Register here

Additional resources