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Professional Masters
Liverpool Campus
Full Time
SEP-25
1 Year
Select a course option
Professional Masters
Liverpool Campus
Full Time
SEP-25
1 Year
Select a an exam type
Every organisation, in every industry, needs to know how to analyse and translate data into meaningful insights, to drive innovation and positive outcomes. The Applied Statistics and Data Science MSc programme will develop your knowledge and skills to enable you to meet the needs of modern society. The MSc will take you from the foundations of data science, statistical models, and stochastic processes to the mastery of contemporary machine learning methods and programming skills. You will learn how to use powerful statistical and data science methods to create systems capable of extracting compelling insights from big data and predicting outcomes in real-world applications.
In semester two, you will develop specialist knowledge in selected areas of applied statistics and data science by choosing one of the following pathways:
This exciting and stimulating programme is offered by the Department of Mathematical Sciences and delivered by world-leading experts in their field who are accomplished teachers and researchers, working to tackle real-world problems in epidemiology, financial mathematics, and more! The Department hosts the Mathematics Centre of Enhancement in Education, which supports colleagues to develop innovative teaching methods and ensure that you are taught in the most effective and engaging way.
We accept a 2:2 honours degree from a UK university, or an equivalent academic qualification from a similar non-UK institution. This degree should be in a STEM subject (Science, Technology, Engineering, or Maths) with a significant numerical component.
Students living in
England
£13,300 per year
Students from England
£29,900 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£29,900 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.
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