Applied Data Science and Statistics MSc
Course Overview - Applied Data Science and Statistics MSc
• This well-established conversion course, with a network of over 600 graduates, will enable you to learn data science skills alongside the fundamental mathematics that underpins all data.
• You will learn to programme in Python and R (no prior experience of programming is required) and explore a wide variety of applications to prepare you for a career working with data in a variety of sectors.
• Benefitting from the skills and experience of our academics in the Mathematics and Statistics department, you will work extensively with data and ...
<br/>• This well-established conversion course, with a network of over 600 graduates, will enable you to learn data science skills alongside the fundamental mathematics that underpins all data.<br/><br/><br/><br/>• You will learn to programme in Python and R (no prior experience of programming is required) and explore a wide variety of applications to prepare you for a career working with data in a variety of sectors.<br/><br/><br/><br/>• Benefitting from the skills and experience of our academics in the Mathematics and Statistics department, you will work extensively with data and gain the ability to perform statistical analysis to answer questions, and understand how to interpret and communicate results in the presence of bias and uncertainty.<br/><br/><br/><br/>• You will graduate with the capability to extract otherwise-hidden information within data and use it to make informed ethical decisions, with the skills needed to become a rigorous and responsible data scientist or analyst. <br/><br/><br/><br/>To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
Course Information
2 options available
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
09/2026
Campus
University of Exeter - Streatham Campus
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
E84
Points of Entry
Unknown
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