Course details

A Levels AAA Other entry requirements
UCAS code G110
Duration 4 years
Fee Look up fee
Related subjects Mathematics Statistics

Any questions?

Lesley Hudson
Admissions Secretary, School of Mathematics and Statistics
Telephone +44 (0)114 222 3999
Email maths.admiss@sheffield.ac.uk
Website sheffield.ac.uk/maths/prospectiveug

School of Mathematics and Statistics

94% of graduates in work or further study within 6 months
Destinations of Leavers from Higher Education 2016

Course description

This degree is intended for those who wish to specialise in statistics, whilst developing broader mathematical understanding.

You'll learn statistical data analysis and computing skills, and have the opportunity to apply these in project work.

The course includes statistics, probability, core mathematics, pure mathematics and applied mathematics, with increasing emphasis on statistics and probability as you progress.

In the fourth year, you'll complete your own extended project.

Modules: what you study and when

Financial help from the University - bursaries

If you're a UK student, you could be entitled to a University bursary. A bursary is the same as a grant - you don't have to pay it back.

How our bursary scheme works

Entry requirements

Qualification Grades
A Levels AAA including Maths
A Levels + Extended Project Qualification AAB including A in Maths + A. The Extended Project should be in a relevant subject
International Baccalaureate 36, 6 in Higher Level Maths
BTEC D*DD in a relevant subject with Distinctions in Maths units
Cambridge Pre-U D3 D3 D3 including Maths
Scottish Highers + 2 Advanced Highers AAAAB + AA including Maths
Welsh Baccalaureate + 2 A Levels A+AA including Maths
Access to HE Entry requirements for mature students
Other qualifications Other UK qualifications
Other EU/international qualifications
Other requirements
If you have any questions about entry requirements, please contact the department

Modules - what you study and when

The modules listed below are examples from the last academic year. There may be some changes before you start your course. For the very latest module information, check with the department direct.

Course information on School of Mathematics and Statistics website

First year

Core modules:

Introduction to Probability and Statistics
Mathematical Investigation Skills
Mathematics Core 1
Mathematics Core II
Numbers and Groups

Optional modules:

Vectors and Mechanics

Second year

Core modules:

Advanced Calculus and Linear Algebra
Analysis
Differential Equations
Statistical Inference and Modelling
Probability Modelling
Scientific Computing and Simulation

Optional modules:

Algebra
Career Development Skills
Mathematics and Statistics in Action
Mechanics and Fluids

Third year

Core modules:

Practical and Applied Statistics
Applied Probability
Bayesian Statistics
Measure and Probability
Medical Statistics
Sampling Theory and Design of Experiments

Optional modules:

Algebraic Topology
Analytical Dynamics and Classical Field Theory
Commutative Algebra and Algebraic Geometry
Functional Analysis
Stochastic Processes and Finance
Stochastic Processes and Finance
Topics in Advanced Fluid Mechanics
Undergraduate Ambassadors Scheme in Mathematics
Advanced Operations Research
Analytic Number Theory
Applicable Analysis
Codes and Cryptography
Combinatorics
Complex Analysis
Continuum Mechanics
Differential Geometry
Fields
Fields
Financial Mathematics
Financial Mathematics
Fluid Mechanics I
Galois Theory
Game Theory
Graph Theory
Groups and Symmetry
History of Mathematics
Introduction to Relativity
Knots and Surfaces
Linear and Generalised Linear Models
Linear and Generalised Linear Models
Magnetohydrodynamics
Mathematical Biology
Mathematical Methods
Mathematical modelling of natural systems
Mathematical modelling of natural systems (Advanced)
Metric Spaces
Operations Research
Optics and Symplectic Geometry
Quantum Theory
Signal Processing
Statistical Programming in R
Time Series
Topics in Number Theory
Waves

Fourth year

Core modules:

Mathematics and Statistics Project II
Computational Inference
Extended Linear Models
Machine Learning
Project Presentation in Mathematics and Statistics

Optional modules:

Algebraic Topology
Analytical Dynamics and Classical Field Theory
Commutative Algebra and Algebraic Geometry
Functional Analysis
Stochastic Processes and Finance
Topics in Advanced Fluid Mechanics
Advanced Operations Research
Advanced Particle Physics
Advanced Quantum Mechanics
Analytic Number Theory
Codes and Cryptography
Combinatorics
Complex Analysis
Continuum Mechanics
Differential Geometry
Fields
Fields
Financial Mathematics
Financial Mathematics
Fluid Mechanics I
Galois Theory
Game Theory
Graph Theory
Groups and Symmetry
History of Mathematics
Introduction to Relativity
Knots and Surfaces
Linear and Generalised Linear Models
Linear and Generalised Linear Models
Magnetohydrodynamics
Mathematical Biology
Mathematical Methods
Mathematical modelling of natural systems
Mathematical modelling of natural systems (Advanced)
Metric Spaces
Operations Research
Optics and Symplectic Geometry
Quantum Theory
Signal Processing
Statistical Programming in R
Time Series
Topics in Number Theory
Waves

The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers.

In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

Learning and assessment

These figures give an indication of how you'll learn and be assessed. They're a combined average of all the years of the course. The learning and assessment percentages could vary depending on the modules you choose.

Learning
Scheduled teaching 24%
Independent study 76%
Placement 0%

Assessment
Exams/tests 73%
Coursework 25%
Practical 2%

School of Mathematics and Statistics

From geometry to probability, our courses cover all aspects of mathematics, pure and applied. With modules in finance, engineering and medical applications, we showcase the wide-ranging relevance and importance of mathematics.

Degree-level maths is about finding ways to answer big questions. You'll explore how mathematicians have tried to answer similar questions in the past. You'll also learn how to construct logical arguments with reasoned conclusions.

Your study will include core mathematics, pure mathematics, applied mathematics,probability and statistics. You can specialise later in your course, and may have the option to switch between our degrees. You'll have the chance to study scientific programming and simulation, and practical and applied statistics. You'll have plenty of opportunities to focus on your career and skills development too.

School of Mathematics and Statistics website

What our graduates do

In the age of big data, major companies are increasingly reliant on graduates with numerical skills.

Our graduates go on to finance-related careers: accountancy, actuarial work, public finance, insurance. There are lots of other choices too, including: teaching, advertising, software development, operations research, drug development and meteorology.

Employers include PricewaterhouseCoopers, KPMG, Deloitte & Touche, GCHQ, British Airways
and the European Space Agency.

Many of our graduates choose further study at Masters and PhD level.

Student profile


"...each lecturer is so passionate about their subject... you learn because you can see how much they enjoy it and how much they're willing to help you understand."

Elizabeth Gear
School of Mathematics and Statistics

Apply for this course

Make sure you've done everything you need to do before you apply:

How to apply >

When you're ready to apply, see the UCAS website:

ucas.com >

Contact us

Lesley Hudson
Admissions Secretary, School of Mathematics and Statistics
Telephone +44 (0)114 222 3999
Email maths.admiss@sheffield.ac.uk

Department website >

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Applicant open days
If you've received an offer to study with us, we'll invite you to one of our applicant open days, which take place between November and April. These open days have a strong department focus and give you the chance to really explore student life here, even if you've visited us before.

Campus tours
Campus tours run regularly throughout the year, at 1pm every Monday, Wednesday and Friday.

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