Study location	United Kingdom, Sheffield
Type	Bachelor courses, full-time
Nominal duration	3 years
Study language	English
Awards	BSc
Course code	GN13

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: 6.5 (with a minimum of 6.0 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=GN132018

Overview

This degree focuses on mathematics relevant to quantitative finance applications, such as models of fluctuations of share prices on the stock exchange, financial derivatives or corporate finance. Modules in enterprise, business and economics are taught by the Management School and the Department of Economics.

Your study will include core mathematics, pure mathematics, applied mathematics and probability and statistics. You can specialise later in your course, and can often switch between our degrees.

Programme structure

First year

Core modules:

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

Optional modules:

Economic Analysis and Policy 1
Economic Analysis and Policy 2
Introduction to Financial Accounting
Introduction to Financial Management

Second year

Core modules:

Advanced Calculus and Linear Algebra
Analysis
Statistical Inference and Modelling
Probability Modelling

Optional modules:

Econometrics
Financial Management
Intermediate Macroeconomics
Intermediate Microeconomics
Introduction to Corporate Finance and Asset Pricing
Career Development Skills
Probability and Statistics in Society

Third year

Core modules:

Stochastic Processes and Finance
Financial Mathematics
Metric Spaces

Optional modules:

Corporate Finance
Financial Derivatives
Further Econometrics
Modern Finance
Practical and Applied Statistics
Topics in Advanced Macroeconomics
Topics in Advanced Microeconomics
Applicable Analysis
Applied Probability
Bayesian Statistics
Codes and Cryptography
Combinatorics
Complex Analysis
Computational Inference
Differential Geometry
Game Theory
Graph Theory
Group Project
History of Mathematics
Knots and Surfaces
Linear Models
Measure and Probability
Medical Statistics
Operations Research
Sampling Theory and Design of Experiments
Time Series
Topics in Number Theory

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.