Study location	United Kingdom, Sheffield
Type	Bachelor courses, full-time
Nominal duration	4 years
Study language	English
Awards	MMath
Course code	G103

Tuition fee	To be confirmed

Entry qualification	High school / secondary education (or higher) good results in Mathematics The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

Language requirements	English Accepted proof of proficiency: Cambridge English, IELTS, TOEFL or other equivalent IELTS: 6 (with a minimum of 5.5 in each band) TOEFL (IBT): Overall score of 80 or above, with at least 17 in Listening, 17 in Writing, 18 in Reading and 20 in Speaking CAE: Overall score of 169 or above, with at least 162 in each component

Other requirements	At least 1 reference(s) should be provided. A motivation letter must be added to your application.

More information	Expenses, accommodation, working etc. sheffield.ac.uk/..seDetails.do?id=G1032018

Overview

Degree-level maths is about finding ways to answer big questions. You will look at how mathematicians have tried to answer similar questions in the past. You will also learn how to construct a logical argument with reasoned conclusions.

The course includes core mathematics, pure mathematics, applied mathematics and probability and statistics. As you progress, there are more and more opportunities to specialise. In the fourth year, you’ll complete your own extended project.

Programme structure

First year

Core modules:

Introduction to Probability and Statistics
Mathematics Core 1
Mathematics Core II
Numbers and Groups
Vectors and Mechanics
Science Challenge: Breaking Boundaries

Optional modules:

Mathematical Investigation Skills

Second year

Core modules:

Advanced Calculus and Linear Algebra

Optional modules:

Algebra
Analysis
Differential Equations
Statistical Inference and Modelling
Career Development Skills
Mechanics and Fluids
Probability Modelling
Probability and Statistics in Society
Scientific Computing and Simulation

Fourth year

Core modules:

Mathematics and Statistics Project II
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
Analytic Number Theory
Bayesian Statistics
Computational Inference
Differential Equations (Advanced)
Extended Linear Models
Fields
Financial Mathematics
Galois Theory
Linear Models
Magnetohydrodynamics
Measure and Probability
Medical Statistics
Multivariate Data Analysis
Optics and Symplectic Geometry
Signal Processing

Career opportunities

Many of our graduates use their numerical and analytical skills for careers in finance, such as accountancy, actuarial work, public finance and insurance.

Other career destinations include teaching, advertising, operations research and meteorology. Our graduates also go onto further study at masters and PhD level.