Statisticians play a vital role in many sectors. They work in global business, data analysis, artificial intelligence and healthcare modelling. During this degree you'll study concepts and techniques for modelling and get hands-on experience of data analysis. We'll develop a framework to help understand the logic of uncertainty. You will explore random variables and surrounding topics. Working in our computer labs will give you hands-on experience of using statistical software. This is the chance to put the statistical and probability theory you've learnt into practice. Our lecturers are experts in advanced mathematical techniques but you will also develop wider skills in analytical thinking and problem-solving. There's the opportunity to study topics from outside of mathematics, such as learning a language too. - Core modules will build on your understanding of the fundamentals of mathematics and statistics - Freedom to choose from a wide range of exciting optional modules - Accredited by the Institute of Mathematics and its Applications - Support from senior students on a range of important first-year topics is provided There's a chance to spend time overseas through the university's study abroad programme, or apply for a work placement year as part of the course too. These are excellent ways in which to boost your CV when looking for jobs after graduation.

Core modules in your first year provide a solid foundation in the main mathematical topics. You'll also focus on probability and statistics. Key concepts in applied maths, calculus and linear mathematics will be introduced. Learning will be through lectures, problem classes, tutorials and computer workshops. In year two, core modules will enable you to study statistics and probability in more depth. You'll also broaden your knowledge through optional modules in topics such as complex functions, modelling with differential equations and vector calculus. The optional Professional Skills for Mathematicians module will teach you valuable skills for your future employment. By working on group projects, you'll improve your communication skills and learn to write up and report on your work in a technical and meaningful way. In your final year you will choose from a range of advanced optional modules. Please visit the university webpage for full details of the modules available.

Assessment Methods are not listed for this Course.

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26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: G300

Institution code: N84

Campus Name: University Park Campus

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

European Baccalaureate - 85% overall, including 85% or 8.5 in Mathematics (Mathématiques 5 périodes, année 7) GCSE requirements - English grade C (numeric grade 4)

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Test	Grade	AdditionalDetails

English Language Entry Requirement Information are not listed for this Course.

Student satisfaction : 55%

Employment after 15 months (Most common jobs): 90%

Go onto work and study: 100%

EU	19000.0	Year 1
England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1
International	19000.0	Year 1
Channel Islands	9250.0	Year 1

Additional Fee Information are not listed for this Course.

University Park
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Nottingham
NG7 2RD