Overview

The MSc Data Science - Statistics course from University of Leeds, delivered in collaboration with the School of Mathematics and the Leeds Institute for Data Analytics, is a flexible online masters degree designed to equip you with the knowledge and practical experience to work confidently with large and complex datasets. You’ll learn in-demand data skills in data acquisition, preparation, wrangling, modelling, and analysis, as well as strategies for handling missing data and interpreting results for real-world application.

Who is this course for?

Designed for graduates with a strong quantitative background in subjects with substantial elements of mathematics and statistics. It also suits professionals working in data-driven STEM roles who want to develop advanced analytical and statistical skills to progress into business-critical senior roles in areas like healthcare or environmental science.

The MSc Data Science (Statistics) offers a comprehensive curriculum that covers both foundational data science courses and specialised statistical methods. You'll also learn widely used methods to understand, analyse, and interpret data in a range of real-world contexts. Since employers seek candidates who can tell compelling stories with data, your projects in this programme will give you opportunities to combine different presentation methods effectively.

Using research from the Leeds Institute of Data Analytics and others, you’ll work on projects in innovative areas such as AI, health informatics, urban analytics, statistical and mathematical methods, and visualisation and immersive technologies. Experience in these areas will help you prepare for the future of data science.

Programme Structure

Courses include:

Programming
Machine Learning
Data Ethics
Data Management
Statistical Modelling
Bayesian Statistics

Key information

Duration

Part-time
- 24 months

Start dates & application deadlines

Starting 2026-09-28 00:00:00

Application deadline not specified.
Starting 2027-03-01 00:00:00

Application deadline not specified.

Language

English

TOEFL^® IBT

4.5

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PTE Academic

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IELTS

6.5

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Credits

180 alternative credits

Delivered

Online

Fully structured
Proactive tutoring and support
Online group works/assignments

Campus Location

Leeds, United Kingdom

Disciplines

Statistics Data Science & Big Data View 16 other Masters in Statistics in United Kingdom

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

4.5

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

You must have a 2.2 or above honours degree in a mathematical, computational, engineering or other numerate discipline

Professional Entry

You are eligible through this route if you meet at least one of the following:
A third-class degree in any discipline plus 1 year of relevant professional experience
At least 3 years of relevant professional experience in a technical, analytical or digital role
Relevant experience includes, but is not limited to data analysis, coding, automation, software testing, reporting, digital transformation, or any role involving analytical or technical problem-solving duties.

Tuition Fees

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Data Science - Statistics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Who is this course for?

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

Funding

Scholarships Information

Available Scholarships

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