Applied Data Science and Statistics University of Exeter
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| MSc | On-Campus | Full-time | 1 years | September | find out | find out |
Course overview
- 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 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.
- 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.
Entry requirements
A good degree (normally a 2:2).
Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience.
Prior experience of coding is not necessary on this course.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
Entry requirements for international students
English language requirements
International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B3. Please visit our English language requirements page to view the required test scores and equivalencies from your country.
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