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University of Bolton

Mathematics with Statistics

UCAS Code: G145

Master of Mathematics - MMath

Entry requirements


UCAS Tariff

112

Your Level 3 subjects must include mathematics; for instance, A-level Mathematics or IMA Polymaths Certificate (with a score of at least 900 out of 1200 points). Preference will be given to applicants with grade B or above in A-level Mathematics and to candidates with successful completion of Further Mathematics at A-level. To help you understand what UCAS points are equivalent to, in terms of grades, please visit the University of Bolton’s webpage below for some examples of grades from popular qualifications: https://www.bolton.ac.uk/study/undergraduate/apply/ucas-tariff/

100%
Applicants receiving offers

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About this course


This course has alternative study modes. Contact the university to find out how the information below might vary.

Course option

4years

Full-time | 2019

Other options

6 years | Part-time | 2019

Subjects

Mathematics

Statistics

If you’re interested in becoming a mathematician or statistician, or looking to expand your professional opportunities in related areas, such as business, finance, science or technology, the MMath Mathematics with Statistics course from the University of Bolton could be the ideal course for you.

Maths is a key skill for success in a variety of careers. If you want to work in finance, business or insurance, having the necessary mathematical abilities could help you to progress along your chosen path. On our MMath Mathematics with Statistics programme, you’ll have the chance to develop your knowledge of fundamental aspects of maths, exploring scientific and mathematical models and theories. As the course progresses, we’ll guide you in delving deeper into mathematical, statistical, numerical and linear analysis, studying topics like programming, probability, group theory and fluid dynamics.

This integrated Master’s course gives you the chance to build on the skills developed at bachelor’s level, by offering postgraduate knowledge and understanding of statistical and mathematical modelling, logical reasoning and abstraction, and the opportunity to learn to apply your skills in the real world. This course has a split focus on both pure and applied maths for a good grounding in the broader subject of mathematics with statistics.

Modules

Modules listed below are a mixture of compulsory and optional. You may not have the opportunity to study all the modules as part of the course.

Abstract Algebra
The Mathematician in Society
Mathematical Methods
Calculus
Introduction to Statistics and Probability
Algorithms and Structured Programming
Vector Calculus
Further Mathematical Methods
Numerical Analysis
Linear Algebra
Parametric Statistics
Non-Parametric Statistics
Experimental Design
Multivariate Analysis
Dissertation
Partial Differential Equations
Further Linear Algebra
Fluid Dynamics
Group Theory
Complex Variables
Mathematics Work Placement
Time-Series Models
Stochastic Processes and Markov Chains
Applied Analysis
Viscous Flow
Lie Groups and Differential Equations
Conservation Laws
Project

Assessment methods

Level One: Written exams (20%), Coursework (47%), Practical exams (33%)
Level Two: Written exams (60%), Coursework (33%), Practical exams (7%)
Level Three: Written exams (58%), Coursework (30%), Practical exams (12%)
Masters Level: Written exams (60%), Coursework (20%), Practical exams (20%)

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£9,250
per year
International
£12,450
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University of Bolton

Department:

Mathematics

TEF rating:

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What students say


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After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Mathematics

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

94%
med
Employed or in further education
100%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

What do graduate employment figures really tell you?

Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.

Mathematical sciences

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

94%
med
Employed or in further education
100%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

What do graduate employment figures really tell you?

The business and research sectors worry that the UK hasn't got enough people with good statistics skills, and as stats are at the heart of so much of the economy, and we only have a few hundred graduates a year in the discipline, this type of degree can be very useful and versatile. The finance industry is very popular with this group, and they're far more likely to be working in London than most other graduates. And who can blame them — statistics graduates starting work in London were earning an average of nearly £29k just six months after leaving university. There is also demand from the Scottish finance sector in Edinburgh and Glasgow - particularly in banking and insurance. But a good statistician can find work almost anywhere that data can be analysed - which, in an online world, is almost anywhere - and many industries struggle to find enough statisticians to fulfil demand, so stay flexible and you can find a variety of options.

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This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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Course location and department:

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Teaching Excellence Framework (TEF):

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

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This information is from the Higher Education Statistics Agency (HESA).

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

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Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

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