School of Mathematics
FACULTY OF MATHEMATICS AND PHYSICAL SCIENCES
BSc Mathematics and Statistics
UCAS Code: GG13
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.
Variants
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.
Many students choose to do the BSc degree (GG13) but if
you decide you wish to change to the MMath, BSc degree
(GG1H) then this is possible as the first two years of the
programmes are identical. You must achieve an average of
at least 58 (on the 0 – 100 scale) in your second year to
progress to the third year of the MMath, BSc degree.
Programme Aims
The world is full of confusing and seemingly contradictory
information, whether it is about the evidence for climate
change, the safety of vaccinations or the crime rate.
Statisticians are the experts, who are qualified to collect
analyse and present data in a scientific and objective way,
so that the right decisions can be made. The programme is
accredited by the Royal Statistical Society, qualifying you for
Graduate Statistician status, the first step to becoming a
Chartered Statistician.
Programme Structure: Year One
Compulsory modules:
MATH 1010 Mathematics 1: an introduction to advanced
integration techniques, partial differentiation (the study of
functions of more than one variable) and to matrix algebra
techniques for simultaneous equations.
MATH 1012 Mathematics 2: building on matrix algebra,
abstract linear algebra is developed. Using the tools of
calculus, ordinary differential equations are studied, with
applications to mechanics.
MATH 1025 Number Systems: exposure to the language
of abstract mathematics: sets, functions, proof techniques
and mathematical typesetting software.
MATH 1026 Sets, Sequences and Series: study of limits
and convergence of sequences of real numbers.
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.
Additionally up to two of the following optional modules:
MATH 1225 Introduction to Geometry: you will use
diagrams to understand problems and to help formulate
rigorous proofs.
MATH 1510 Financial Mathematics 1: introduction to
financial mathematics and the application of mathematics to
financial problems.
MATH 1920 Computational Mathematics: how computers
can be used to study and solve mathematical problems.
PLUS up to 20 credits of Discovery Modules can be taken
each year. You can choose these from anywhere across the
University according to your interests or future career plans.
Some of the most popular Discovery Modules are in modern
languages, management, music, philosophy and
psychology.
BSc Mathematics and Statistics
Programme Structure: Year Two
Compulsory modules:
MATH 2016 Analysis
Study continuity and integration in a rigorous way, and study
Complex Analysis in depth.
MATH 2022 Groups and Vector Spaces
An introduction to abstract algebraic ideas, through a study
of groups (abstract symmetry) and vector spaces.
MATH 2365 Vector Calculus
Study differentiation and integration in 2, 3 and higher
dimensional space.
MATH 2375 Linear Differential Equations and
Transforms
Study and solve Partial Differential Equations which arise
from wave and diffusion problems in the real world.
In Statistics, you will need to study at least three of the
courses MATH 2715 Statistical Methods, MATH 2735
Statistical Modelling, MATH 2740 Environmental
Statistics, MATH 2750 Introduction to Markov
Processes and MATH 2775 Survival Analysis, including
at least two of 2715, 2735 and 2750.
In Mathematics, depending on other choices, you may
choose up to three options from a choice of over 15
modules, including MATH 2051 Geometry of Curves and
Surfaces (study parameterised curves and their properties
such as curvature, and then generalise to surfaces) and
MATH 2620 Fluid Dynamics 1 (how to mathematically
model fluid flow, including vorticity, dynamics and flows in
open channels).
There is also the opportunity to study up to 20 credits of
Discovery Modules.
Programme Structure: Year Three
You will undertake a final year project and take options from
a wide range of pure and applied mathematics and
statistics. You must take at least 40 credits in each of
Mathematics and Statistics. To gain Royal Statistical Society
Accreditation, you will need to pass at least 60 credits (half
the year) of level 3 Statistics.
There are over 30 Mathematics and Statistics modules,
including MATH 3015 History of Mathematics (study the
historical development of specific topics central to
mathematics such as calculus or probability), MATH 3104
Proof and Computation (the study of axiomatic systems:
are they consistent and complete? What is it possible to
compute?), MATH 3225 Topology (the study of properties
of mathematical spaces which are invariant under
continuous deformations), MATH 3385, Quantum
th
Mechanics (study a cornerstone of 20 century
mathematical physics), MATH 3458 Geophysical Fluid
Dynamics (a focus on wave-like motions in the Earth's
atmosphere and ocean), MATH 3880 Introduction to
Statistics and DNA (an introduction to the biology and
statistics of data on evolution, genetics and gene
expression) or MATH 3723 Statistical Theory (a unified
theory of the problems of estimation and hypotheses
testing).
There is also the opportunity to study up to 20 credits of
Discovery Modules.
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%26STAT
For further details on all the Discovery Modules please see
the modules catalogue (ensure you select ‘search by
Discovery Modules’)
http://webprod3.leeds.ac.uk/catalogue/modulesearch.as
p?T=S&L=UG
For further details on the accreditation by the Royal
Statistical Society see the webpage at:
www.maths.leeds.ac.uk/home/careers-andemployability/rss-accreditation
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.
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