Online Masters course in Data Science (Statistics)

Online Masters course in Data Science (Statistics)

Our interdisciplinary online course brings together applied research groups and data scientists, developed in collaboration with the School of Mathematics and the Leeds Institute for Data Analytics. 

Work on projects in areas including AI, health informatics, urban analytics, statistical and mathematical methods, and visual and immersive technologies — preparing you for the future of data science. 

Our course will help you gain the skills needed for essential senior roles in healthcare or environmental science. 

Data Science (Statistics) MSc

Visit the course page for detailed course information, fees, how to apply and more.

Watch our Q&A with course experts

Watch a Q&A with our Data Science (Statistics) MSc programme leads. Our expert academics discuss key topics such as the expertise you will gain, statistical modelling, project integration and career paths.

https://www.youtube.com/watch?v=HN946PYJG3o

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Video transcript for Insider Insights: Data Science (Statistics) MSc Expert Q&A

Masters taster courses in computing and data science

These short online courses offer an introduction to our Data Science (Statistics) online Masters course and are created from modules taught on the degree.

Available on online learning platform Coursera each course provides a taste of Masters-level learning, designed by academics.

Delve into Python programming, and creative data analysis techniques and master statistical methods with courses designed to develop your data science knowledge and skills. 

Exploratory Data Analysis

Covering the fundamentals of exploratory data analysis, our online short course includes data types,data cleansing, and data visualisation techniques using R software. It takes nine hours to complete.

Sign up for Exploratory Data Analysis on Coursera.

Programming for Data Science

Learn programming basics and introduce yourself to Python programming language with our short course, which takes eight hours to complete.


Sign up for Programming for Data Science on Coursera.  

Statistical methods

Exploring the difference between data and information, this course uses real-life examples and software skills to develop your statistics and probability expertise. It takes 11 hours to complete. 

Sign up for Statistical Methods on Coursera.

 

Our research excellence

99% 'world-leading' or 'internationally excellent'

School of Computing submitted research — Research Excellence Framework 2021

Partner of the Alan Turing Institute