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BSc (Hons) Mathematics and Statistics Q36
Thank you for your interest in our BSc (Hons) Mathematics
and Statistics.
This fact sheet gives an overview of what you’ll study at
Stages 1, 2 and 3 of the qualification, and provides links
to more detailed module descriptions.
Mathematics and statistics play an important role
in almost every area of life, and are at the heart of
advances in science, technology and public life.
This degree is applicable to a wide
range of careers and will equip you
with indispensable problem-solving
and decision-making tools.
You’ll gain a good knowledge of probability and
statistics, with options to focus on modern pure
mathematics, mathematical methods and
modelling – together with experience of using
relevant software packages. You’ll also: develop
your understanding of time series analysis,
multivariate data analysis, regression analysis,
and hypothesis testing; explore classical and
Bayesian approaches to statistics; familiarise
yourself with statistical software packages;
and gain experience in conducting and
communicating statistical investigations.
The BSc (Hons) Mathematics and Statistics can
help you gain recognition from the Institute of
Mathematics and its Applications (IMA) and the
Royal Statistical Society (RSS).
www.open.ac.uk
Career relevance and employability
Careers such as statistical work (including
actuarial work) and particular areas of
education, research, development or
computing may specify a degree in
mathematics and/or statistics. This degree
will also equip you for jobs in fields such as
engineering, the pharmaceutical industry,
business, finance and accountancy.
You will develop highly-valued transferable
skills including communicating mathematical
ideas clearly and succinctly; understanding
complex mathematical texts; working with
abstract concepts; thinking logically; expressing
problems in mathematical language;
constructing logical arguments; working on
open-ended problems; finding solutions to
problems; analysing/interpreting data;
conducting statistical investigations;
interpreting mathematical results in
real-world terms; and using relevant
professional software.
Key facts
Start date
Oct 2016 (registration closes 08 Sep 2016)
Feb 2017 (registration closes 05 Jan 2017)
Course code
Q36
Credits
360
How long it takes
Part time – 6–8 years
Full time – 3–4 years
Time limit – 16 years
Course cost
See Fees and funding
Entry requirements
See Am I ready?
Page 1 of 4
BSc (Hons) Mathematics and Statistics Q36
What you will study
Stage 1
Stages 2 and 3
120 credits required
120 credits required for each stage
You will begin with Discovering mathematics
(MU123), which introduces and helps integrate
key ideas from statistics, algebra, geometry
and trigonometry into your everyday thinking
– building your confidence in learning and
using mathematics.
At Stages 2 and 3, you’ll continue to develop
your skills and knowledge in statistics and opt to
study either applied or pure mathematics.
Statistics with
applied mathematics
Statistics with
pure mathematics
You’ll follow this with three compulsory
modules: Essential mathematics 1 (MST124);
Introducing statistics (M140); and Essential
mathematics 2 (MST125). These will give you
a broad introduction to various topics in pure
and applied mathematics and statistics.
You’ll develop a variety of skills including
problem solving, how to develop and present
a mathematical argument and how to
represent and interpret statistical data.
These are the key skills required for higher
level study in mathematics.
Stage 2
Stage 2
You will develop extensive knowledge and skills
in statistics and probability, alongside other
important applications of mathematics:
You will develop extensive knowledge and
skills in statistics and probability, alongside an
understanding of the abstract ideas
underpinning mathematics:
If you are already confide nt about studying
mathematics at university level, we offer a
study route with an intensive start. It begins
with the three compulsory modules Essential
mathematics 1 (MST124), Introducing statistics
(M140) and Essential mathematics 2 (MST125)
as described above.
To complete the intensive start you can
choose another OU module from a wide
selection. This might be, for example, in
business, personal finance, IT studies,
social sciences, or a modern language.
It is essential to determine your mathematical
level before you register. See Am I ready? to
check if you have the necessary experience
and confidence with mathematics.
www.open.ac.uk
—— Mathematical methods, models and
modelling (MST210) – differential equations,
linear algebra, vector calculus, methods
of Newtonian mechanics, and practical
elements of mathematical modelling
—— Analysing data (M248) and Practical modern
statistics (M249) – statistical concepts
including medical statistics, time series
analysis, multivariate data analysis, and
Bayesian statistics.
You will also broaden your experience in the
use of appropriate mathematical and statistical
software; and develop your ability to interpret
mathematical and statistical ideas and
communicate them to others.
Stage 3
For this final stage of your degree, you’ll study
three compulsory modules: Applications of
probability (M343), Linear statistical modelling
(M346) and Mathematical statistics (M347).
In addition you’ll study one more module from
a range of more advanced mathematical topics,
which currently include: complex analysis,
graphs and networks, optimization, waves,
diffusion, variational principles, mathematical
methods and fluid mechanics.
—— Pure mathematics (M208) – formal proof,
abstract structures, linear algebra, analysis
and group theory
—— Analysing data (M248) and Practical modern
statistics (M249) – statistical concepts
including medical statistics, time series
analysis, multivariate data analysis, and
Bayesian statistics.
You will also broaden your experience in the
use of appropriate mathematical and statistical
software; and develop your ability to interpret
mathematical and statistical ideas and
communicate them to others.
Stage 3
For this final stage of your degree, you’ll study
three compulsory modules: Applications of
probability (M343), Linear statistical modelling
(M346) and Mathematical statistics (M347).
In addition you’ll study one more module from
a range of more advanced mathematical topics,
which currently include: complex analysis,
graphs and networks, and optimization.
Page 2 of 4
BSc (Hons) Mathematics and Statistics Q36
Module summary – Statistics with applied mathematics
Click on module titles for detailed module descriptions.
Qualification structure and module availability is subject to change.
Stage 1 module summary
Stage 2 module summary
Stage 3 module summary
120 credits required
120 credits required
120 credits required
Module name
CREDITS
CODE
Compulsory modules – 120 credits
Module name
CREDITS
CODE
Module name
CREDITS
Statistics with applied mathematics
Statistics with applied mathematics
Compulsory modules – 90 credits
CODE
Discovering mathematics
30
MU123
Compulsory modules – 120 credits
Essential mathematics 1
30
MST124
Analysing data
30
M248
Applications of probability
30
M343
Introducing statistics
30
M140
Practical modern statistics
30
M249
Linear statistical modelling
30
M346
Essential mathematics 2
30
MST125
Mathematical methods,
models and modelling
60
MST210
Mathematical statistics
30
M347
Complex analysis
30
M337
Deterministic and
stochastic dynamics
30
MS327
Graphs, networks
and design
30
MT365
Mathematical methods
and fluid mechanics
30
MST326
Optimization
30
M373
www.open.ac.uk
Optional module – 30 credits
Select one from:
Page 3 of 4
BSc (Hons) Mathematics and Statistics Q36
Module summary – Statistics with pure mathematics
Click on module titles for detailed module descriptions.
Qualification structure and module availability is subject to change.
Stage 1 module summary
Stage 2 module summary
Stage 3 module summary
120 credits required
120 credits required
120 credits required
Module name
CREDITS
CODE
Compulsory modules – 120 credits
Module name
CREDITS
CODE
Module name
CREDITS
Statistics with pure mathematics
Statistics with pure mathematics
Compulsory modules – 90 credits
CODE
Discovering mathematics
30
MU123
Compulsory modules – 120 credits
Essential mathematics 1
30
MST124
Analysing data
30
M248
Applications of probability
30
M343
Introducing statistics
30
M140
Practical modern statistics
30
M249
Linear statistical modelling
30
M346
Essential mathematics 2
30
MST125
Pure mathematics
60
M208
Mathematical statistics
30
M347
Complex analysis
30
M337
Deterministic and
stochastic dynamics
30
MS327
Graphs, networks
and design
30
MT365
Optimization
30
M373
Optional module – 30 credits
Select one from:
Page 4 of 4
Go to the online description to find out more
about how much time you need to study,
how to apply, and your fees and funding options.
www.open.ac.uk
+44 (0)300 303 5303
Student Recruitment Team
The Open University, PO Box 197
Milton Keynes, MK7 6BJ, United Kingdom
Copyright 2016 © The Open University