








Gain extensive knowledge of probability and statistics. Combine this with pure mathematics or applied mathematics. This degree will equip you with problem-solving and decision-making tools. You’ll experience using statistical software and practise conducting and communicating statistical investigations. You’ll develop your understanding of big data, multivariate data analysis, regression analysis, and hypothesis testing, plus explore classical and Bayesian statistics. A mathematics and statistics degree can let you access professional training or entry-level roles in various career ...
Gain extensive knowledge of probability and statistics. Combine this with pure mathematics or applied mathematics. This degree will equip you with problem-solving and decision-making tools. You’ll experience using statistical software and practise conducting and communicating statistical investigations. You’ll develop your understanding of big data, multivariate data analysis, regression analysis, and hypothesis testing, plus explore classical and Bayesian statistics. A mathematics and statistics degree can let you access professional training or entry-level roles in various career areas, such as data analysis, finance, teaching, and statistics.<br/><br/>**Key features of the course**<br/>- Accredited by the Institute of Mathematics and its Applications (IMA) and the Royal Statistical Society (RSS) – see Careers<br/><br/><br/>- Start at a point that suits your level of mathematical knowledge<br/><br/><br/>- Build expertise in analytical approaches, classical and Bayesian statistics, and the underpinning mathematical theory<br/><br/><br/>- Complement statistics with pure or applied mathematics to fit your needs and interests<br/><br/><br/>- Practise conducting and communicating statistical investigations and using professional software<br/><br/><br/>- Move to a different mathematics degree, if your aspirations change, even after you’ve started<br/>
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Course Details
Information
Study Mode
Distance-online
Duration
Unknown
Start Date
10/2026
Campus
Distance Learning
Provider Details
Codes/info
Course Code
null
Institution Code
O11
Points of Entry
Year 1
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