Data Science (Statistics) MSc

Course overview

Develop advanced statistical expertise and in-demand data science skills to drive evidence-based decision-making across industries

The MSc Data Science (Statistics), 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?

The MSc Data Science (Statistics) is designed for is 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.

You’ll work on projects inspired by real-world, cutting-edge research from the Leeds Institute for Data Analytics, exploring innovative fields such as artificial intelligence, health informatics, urban analytics, statistical and mathematical modelling, and immersive visualisation technologies.

This flexible online course suits those aiming to develop practical, transferable skills including programming, advanced statistical methods like Bayesian modelling and Monte Carlo estimation, and the ability to analyse complex datasets — from simple random samples to big data with many variables. You will also learn to navigate important issues around data ethics and governance.

Accessible worldwide and designed to fit around your professional and personal commitments, this MSc prepares you for senior roles where the ability to tell compelling stories with data and make evidence-based decisions is essential.

Course highlights

• Gain a Masters in Data Science (Statistics) from a World Top 100 University (QS World Rankings 2026).
• Develop a comprehensive understanding of key statistical methods and their practical applications across industries.
• Build specialist expertise in specialised topics within statistics such as Bayesian modelling, Monte Carlo estimation and dimension reduction.
• Learn to apply statistical tools and techniques tailored for real-world challenges.
• Complete a practical data analysis project that develops transferable skills and showcases independent working ability
• Build proficiency in key programming languages and techniques for data analysis.
• Master strategies for analysing both traditional “simple random sample” and complex “big data” population datasets.
• Work confidently with large, high-dimensional datasets, including those with more variables than observations).
• Understand ethical, legal and governance issues relating to data gathering and analysis, evaluating their impact on decision-making.
• Benefit from research-led teaching drawing on expertise from the Leeds Institute for Data Analytics, a leader in data science innovation.
• Study flexibly online, gaining the skills and knowledge needed to advance your career in data science and statistics.

This online degree is delivered onCoursera, with the next cohort starting in March 2026.

Join our online taster courses

Our short online courses on Coursera will familiarise you with topics explored on the online master's.

• Understand the basics of programming used in Data Science and introduce you to the Python programming language. Sign up for Programming for Data Science on Coursera.
• Learn how to analyse and investigate data sets and explore creative ways to visualise data with Exploratory Data Analysis on Coursera
• Enhance your statistics and probability skills by exploring the difference between data and information through real-life examples and practical software training. Sign up for Statistical Methods on Coursera.

Inside the Programme: Faculty Q&A Session

Course details and modules

You'll study core material in data science and statistics before moving on to more advanced topics including linear modeling, Bayesian statistics and statistical computing.

You’ll put the advanced theories you’re learning into practice by solving real-world problems with support from the Leeds Institute for Data Analytics and the School of Mathematics. The results of your work across courses and projects will include examples of data analysis that can be presented to potential employers, which will demonstrate that you have the skills for data-driven senior roles in business, government, and nonprofit sectors.

From your time on the programme, you’ll understand how your data knowledge can be applied to current and future statistical challenges at local, national and international levels.

Course structure

The list shown below represents typical modules/components studied and may change from time to time. Read more in our terms and conditions.

For more information and a full list of typical modules available on this course, please read Data Science (Statistics) MSc in the course catalogue

Year 1 compulsory modules

Year 2 compulsory modules

Learning and teaching

A global learning network

This comprehensive distance learning masters degree is delivered 100% online through the Coursera platform. You will have the opportunity to connect with faculty and students through live and asynchronous online content including activities, discussions, readings, and tutoring.

Access a wealth of mathematics expertise and data research

You’ll have the chance to learn from researchers who are actively involved with Leeds Institute for Data Analytics, The Alan Turing Institute and other institutes that have strong industry connections. This means you'll be learning the latest innovations in mathematics based on real-world issues happening right now, equipping you with the most up-to-date and industry-relevant knowledge.

Learning material

You will have access learning material via on-demand videos or interactive transcripts. You can pace yourself through the learning material before engaging in related discussions with faculty and peers.

Flexible, career-focused learning

We recognise that people have busy lives, so our fully online MSc enables you to gain a global health degree online from a world-leading institution—without the added cost of relocating.

Study planners and progress-tracking tos will support your learning, helping you balance your studies with other commitments.

On this course, you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

Assessment

Assessments are designed to help you demonstrate the knowledge and practical skills gained throughout each module. Typically, each 15-credit module includes one to two assessments, which may be formative or summative, and are integrated alongside teaching over the study period.

Assessment methods include a variety of formats such as quizzes, written assignments, data analysis projects, programming exercises, and case study reports. These assessments not only test your understanding of statistical theories and data science techniques but also develop essential skills in communication, critical thinking, and independent research.

You will complete your assessments fully online, allowing flexibility to manage your studies alongside professional and personal commitments. The results of your work can also be showcased as evidence of your capabilities to potential employers, supporting your progression into senior roles in data-driven industries.

Applying

Entry requirements

Route 1: Standard Entry

To meet the standard entry requirements, you need a 2:1 Bachelor of Science honours degree (3.0 GPA). Transcripts should show evidence of at least 5 undergraduate modules in a combination of mathematics and statistics. At least one module should be in Statistics, and all modules should be across at least 2 years of your previous study.

Route 2: Performance Pathway 

To qualify for the performance pathway entry route, you need to meet one of the following criteria:

• a minimum of a third-class Bachelor of Science honours degree (2.2 GPA) or a minimum of a third-class Bachelor of Engineering degree (2.2 GPA), or

• at least 3 years of relevant professional experience. This experience should demonstrate competencies in:

  • Working with large data sets

  • Visualising and summarising data

  • “Cleaning” data

  • Data modelling

  • Statistical analysis

  • Using statistical software such as R, SPSS, or Python

We will send you an additional document to complete as part of the next steps.

Progression

Once you begin your studies, you will need to achieve a pass (50% weighted average or higher) in both of the first two degree modules: Programming for Data Science and Statistical Methods, to continue with the rest of the programme.

If you do not achieve a pass, you will not be able to continue and will be withdrawn from the degree. You will be refunded for any modules you've paid for but haven't yet started.

Proof of your English Language Proficiency

Proficiency in English language is essential to study at the University of Leeds. You will need either:

Alternative English Language Qualification

A degree taught in English from a recognised institution, lasting at least two years at the undergraduate level or one year at the Masters level, which can be evidenced by transcripts and/or certificates.

For more details, contact our Enrolment Advisors at onlineadmissions@leeds.ac.uk

English language requirements

IELTS 6.5 overall, with no less than 6.0 in any component. . For other English qualifications, read English language equivalent qualifications.

How to apply

The ‘Apply’ button at the top of this page takes you to the University's online application system, where you can start your application for this course. Alternatively, you can see more information on the Coursera platform on the link below.

This online degree is offered through the Coursera platform.

Apply now to start in March 2026.

Identification

The University of Leeds requires all applicants for fully online programmes to provide proof of their identity at the point of application. Accepted forms of ID are:

• Passport photo page or
• Driving licence or
• National identity card

Admissions policy

University of Leeds Admissions Policy 2025

Contact us

Online Admissions team

Email: onlineadmissions@leeds.ac.uk
Telephone:

Fees

UK: £15,000 (Total)

International: £15,000 (Total)

Fees for 2025/26 academic year of entry (1 September 2025 to 31 August 2026):

UK and International: £15,000 (£1,250 per course, per 15 credit course)

You won’t be billed upfront for the whole degree. Instead, pay as you go - each time you take a course, you’ll pay the tuition just for that course, unless your fees are paid directly by your employer or sponsor. Please note - students in receipt of a loan will be required to complete the programme in 24 months.

Additional cost information

There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more on our living costs and budgeting page.

Scholarships and financial support

Graduates of the University of Leeds (or an affiliated institution) are entitled to a 10% bursary towards tuition fees. Find out more about eligibility and how to apply.

UK students may be able to apply for a UK government-backed loan. Applications should be made through the Student Loans Company. Find out more.

Career opportunities

As a graduate of this programme, you’ll be ready for senior roles as a data analyst, data analytics manager, data scientist, statistician, data engineer, business analyst, and more. You’ll have new skills for self-direction and evaluation, managing project work, engaging critically with sources and methods, and evaluating and analysing data.

Careers support

The University of Leeds Careers Service offers extensive online resources to help you maximise your studies and achieve your career goals:

• One-to-one support from a careers advisor via telephone or virtual meeting
• Online career workshops, webinars and resources
• A database of job opportunities and online employer events
• LinkedIn Learning platform
• CV writing tips and job application support
• Interview coaching and practice sessions.

The Careers Service also connects students seeking to work in a specific region, and offers professional development through alumni network, online support and employer partnerships. Find out more about Careers support