Overview
The Data Science - Statistics (Online) course from University of Leeds combines advanced data science skills with rigorous statistical training. Delivered in collaboration with the School of Mathematics and the Leeds Institute for Data Analytics (LIDA), this programme helps graduates and professionals develop the expertise to analyse complex data, evaluate evidence and make confident, data-driven decisions.
Unlike programmes focused primarily on tools and techniques, this MSc places statistical expertise at the heart of data science. You will develop practical skills in Python programming, statistical modelling, machine learning, Bayesian statistics and data visualisation, while learning to communicate findings effectively through data storytelling.
Explore real-world applications across sectors including healthcare, retail, climate, urban analytics and emerging digital technologies. A practical capstone project allows you to apply your learning to a data science problem.
Study 100% online, part-time, over 24 months, with March and September 2027 start dates. Gain an internationally recognised Master's qualification from a World Top 100 university (QS World University Rankings 2027) while balancing your studies with work and personal commitments.
Why study Data Science (Statistics) at Leeds?
- Put statistics at the heart of data science. Develop expertise in statistical modelling, inference, Bayesian statistics, statistical learning and computational methods.
- Build practical, industry-relevant skills. Learn to programme in Python, explore and visualise data, apply machine learning techniques and analyse complex, high-dimensional datasets.
- Turn analysis into actionable insights. Develop your data storytelling skills and learn to communicate complex findings through reports, presentations and visualisations for technical and non-technical audiences.
- Learn from research expertise. Benefit from teaching informed by the School of Mathematics and the Leeds Institute for Data Analytics, with links to wider data science research.
- Apply your knowledge to real-world challenges. Explore applications across areas such as healthcare, retail, urban analytics, climate and weather, artificial intelligence and emerging digital technologies.
- Study flexibly from anywhere. Complete your degree fully online over 24 months part-time, balancing your studies with work and personal commitments.
Lecturers (maximum 960 characters)
Teaching draws on academic expertise from the University of Leeds School of Mathematics and the Leeds Institute for Data Analytics (LIDA). Students learn from academics involved in research and may also be taught by industry professionals and postgraduate researchers. The programme benefits from research-informed teaching and connections to wider data science research, including links with The Alan Turing Institute.Audience (maximum 960 characters)
This programme is designed for graduates with a quantitative background and professionals looking to advance or transition into data-focused careers. It is suitable for those with backgrounds in mathematics, statistics, computer science, data science, engineering, economics or other numerate disciplines. It also welcomes eligible applicants with relevant technical, analytical or digital work experience who want to strengthen their statistical expertise, develop advanced data science skills and improve evidence-based decision-making.Career opportunities
Graduates can pursue roles such as data scientist, data analyst, data analytics manager, statistician, data engineer and business analyst. The programme develops technical expertise alongside problem-solving, project management, critical thinking and communication skills valued across business, government and nonprofit organisations.
Programme Structure
Courses include:
- Programming for Data Science,
- Statistical Methods and Exploratory Data Analysis,
- Project Skills,
- Machine Learning,
- Linear Modelling,
- Statistical Learning,
- Data Science and Multivariate Methods
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- Starting
- Apply before , National
- Apply before , International
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Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
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Credits
Delivered
- Semi-structured
- Continuous support with feedback on request
- Individual work/assignments (with online group discussions)
Campus Location
- Leeds, United Kingdom
Disciplines
Statistics Data Science & Big Data Data Analytics View 17 other Masters in Statistics in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- A 2:2 or above honours degree in a mathematical, computational, engineering or other numerate discipline, such as mathematics, statistics, physics, computer science, data science, artificial intelligence, engineering, economics or quantitative social sciences. The degree should include at least one numerate or programming-related module.
- Applicants may also be eligible with a third-class degree in any discipline plus at least one year of relevant professional experience, or with at least three years of relevant professional experience in a technical, analytical or digital role.
- The professional entry route does accept relevant experience as an alternative qualification route, as described above.
- The course requires programming and data analysis capabilities, including Python. However, the published page does not specify minimum computer specifications.
Tuition Fees
Funding
- University of Leeds alumni bursary: Eligible University of Leeds alumni and graduates of affiliated institutions may receive a 10% bursary towards tuition fees, subject to eligibility criteria.
- UK government postgraduate loan: Eligible UK students may be able to apply for a government-backed student loan for online study, subject to the applicable terms and conditions.
- Employer sponsorship: Students whose fees are paid by an employer or sponsor may have alternative payment arrangements.
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science - Statistics (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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