School of Mathematics
FACULTY OF MATHEMATICS AND PHYSICAL SCIENCES
BSc Mathematics with Finance
UCAS Code: G1N3
Typical Offer
AAA or A*AB
AAB, A*BB or A*AC, including Further Maths A-Level
AAB, A*BB or A*AC, including Further Maths AS-Level at
grade A.
In all cases, the first quoted grade is the Mathematics ALevel.
Taught By


School of Mathematics (parent school)
Leeds University Business School
The programme is split to a 2:1 ratio between the subjects.
Programme Structure: Year One
Compulsory modules:
LUBS 1235 Introductory Financial Accounting:
understanding how published information is used to assess
company performance using CORE analysis, based on a
UK quoted company.
LUBS 1245 Introductory Management Accounting:
covering the principles of management accounting and the
numerical aspects of managerial accounting, demonstrated
through real-world management situations.
Variants
LUBS 1950 Economic Theory and Applications 1:
causes of poor economic performance are analysed under
the heading of ‘market failure’.
This is a three year full time programme. There is
opportunity to do our Study Abroad or Year in Industry
schemes, which would make the programme a four year
degree.
MATH 1050 Calculus and Mathematical Analysis:
revision of integration and differentiation, and extensions to
more than one dimension.
Programme Aims
This programme is designed to prepare you for a career in
the finance industry, or other parts of the private and public
sector where analytical and mathematical skills are valued.
As such, it helps you to develop a solid knowledge of
mathematics, with an in-depth understanding of financial
mathematics, business finance and economics.
MATH 1055 Numbers and Vectors: introducing you to
th
three influential developments from the 19 century –
complex numbers, vectors and the rigorous notion of limit.
MATH 1331 Linear Algebra with Applications: covering
linear algebra and discrete mathematics, with an emphasis
on their application to financial problems.
MATH 1400 Modelling with Differential Equations:
developing the theory of differential equations and applying
it to produce mathematical models.
MATH 1510 Financial Mathematics 1: introduction to
financial mathematics and the application of mathematics to
financial problems.
MATH 1710 Probability and Statistics I: introducing
probability, random variables and statistical learning.
MATH 1712 Probability and Statistics II: covering
sampling, statistical tests and regression techniques.
BSc Mathematics with Finance
Programme Structure: Year Two
Introduction to corporate finance and governance; topics
covered include mergers & acquisitions, and ethics in
finance.
MATH 2515 Financial Mathematics 2: introduction to
financial assets, term structure of interest rates and noarbitrage pricing.
MATH 2525 Financial Mathematics 3: looking at futures
and option markets, simple asset pricing models and
concepts in risk management.
MATH 2640 Introduction to Optimisation: study the
mathematical tools to find “the best” solution to optimisation
problems motivated from economic theory.
MATH 2750 Introduction to Markov Processes: the study
of repeated random processes, with applications in
biological, financial and actuarial sciences.
Optional modules:
At least one of the 10 credit modules MATH 2715
Statistical Methods and/or MATH 2735 Statistical
Modelling.
In Business, you must take LUBS 2290 Intermediate
Financial Accounting, or LUBS 2295 Intermediate
Management Accounting, or both of LUBS 2140
Intermediate Microeconomics and LUBS 2610
Intermediate Macroeconomics.
In Mathematics, you take 35 credits from a choice of 11
modules, including MATH 2210 Introduction to Discrete
Mathematics, MATH 2740 Environmental Statistics or
MATH 2800 Mathematics into Schools.
Programme Structure: Year Three
You will undertake a final year project and take options from
a wide range of pure and applied mathematics, statistics
and finances modules in the Business School.
Compulsory modules:
MATH 3733 Stochastic Financial Modelling
MATH 3802 Time Series
These modules give you the probabilistic tools necessary to
understand modern mathematical finance.
the oscillatory and even chaotic behaviour of non-linear
systems), MATH 3365 Mathematical Methods (how to give
approximate solutions to differential equations, while
controlling the amount of error involved) or MATH 3714
Linear Regression and Robustness (how to predict or
correlate one statistical measurement from others).
In Business, you must choose 40 credits and can choose
from 19 modules (each 10 or 20 credits). For example, you
could take LUBS 3330 Economic Development (study
industrial policy, population growth, national debt and
balance of payment issues) or LUBS 3140 Behavioural
Finance (critically study the rational actor model of modern
finance, and study real-world heuristics and biases).
Please note that this programme structure is only confirmed
for current students, and may change for future enrolments.
For further details on all the modules associated with the
programme please see the programme catalogue at:
http://webprod3.leeds.ac.uk/catalogue/dynprogrammes.
asp?P=BS-MATH%2FFIN
Important Information
Information provided by the University such as in
presentations, University brochures and the University
website, is accurate at the time of first disclosure. However,
courses, University services and content of publications
remain subject to change. Changes may be necessary to
comply with the requirements of accrediting bodies or to
keep courses contemporary through updating practices or
areas of study. Circumstances may arise outside the
reasonable control of the University, leading to required
changes. Such circumstances include, industrial action,
unexpected student numbers, significant staff illness (where
a course is reliant upon a person’s expertise), unexpected
lack of funding, severe weather, fire, civil disorder, political
unrest, government restrictions and serious concern with
regard to the transmission of serious illness making a
course unsafe to deliver. After a student has taken up a
place with the University, the University will look to give
early notification of any changes and try to minimise their
impact, offering suitable alternative arrangements or forms
of compensation where it believes there is a fair case to do
so. Offers of a place to study at the University will provide
up to date information on courses.
Optional modules:
In Mathematics you must choose 35 to 40 credits from over
20 modules (each 10 or 15 credits). For example, you could
take MATH 2391 Nonlinear Differential Equations (study
The latest key information on courses can be found at
www.leeds.ac.uk/coursefinder
Please check this website before making any decisions.
School of Mathematics
University of Leeds
Leeds, LS2 9JT
United Kingdom
maths.admiss@leeds.ac.uk
www.maths.leeds.ac.uk/undergraduate