Developed in collaboration with the School of Mathematics and the Leeds Institute for Data Analytics, our online Data Science (Statistics) masters degree offers you the opportunity to learn in-demand data skills such as data acquisition, data preparation, data wrangling, modelling and analysis, and how to deal with missing data. Whether you have an undergraduate degree in a quantitative subject with substantial elements of mathematics and statistics or already working in a data-driven STEM field, you’ll be ready for business-critical senior roles in healthcare or environmental science. The MSc Data Science (Statistics) offers a comprehensive curriculum that spans from foundational data science courses to specialised statistics courses. You'll also learn industry best practices and study widely used methods to understand and interpret data in a range of contexts. Because employers are looking for job candidates who can tell compelling stories with data, your projects in this programme will give you opportunities to combine different presentation methods. 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. As a graduate of this programme, you'll be able to: Illustrate a comprehensive understanding of key statistical methods and their practical application. Demonstrate thorough knowledge in various specialised topics within statistics such as Bayesian modelling, Monte Carlo estimation and dimension reduction. Select and apply tools and techniques for using statistical methods in context. Acquire transferable skills and the ability to work independently through the completion of a practical data analysis project. Build proficiency in key programming languages and techniques for data analysis. Develop effective analysis strategies for traditional ''simple random sample'' and ''big data'' (population) datasets differ. Analyse large datasets (including ones with more variables than observations). Describe issues of data ethics and governance, as well as evaluate the impact of these issues on data gathering and analysis. This online degree is delivered on Coursera, with the next cohort starting in September 2025. Watch our latest webinar on demandMissed the live session? You can now watch the Data Science (Statistics) webinar anytime at your convenience. Watch on demand here. Join our online taster coursesOur 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 CourseraEnhance 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.