Statistics MMath (Hons)

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Master

In St Andrews

£ 9,250 VAT inc.

Description

  • Type

    Master

  • Location

    St andrews (Scotland)

  • Duration

    5 Years

The MMath (Hons) in Statistics allows you to specialise in the branch of mathematics that focuses on collecting, analysing and presenting large quantities of numerical data. There are many practical applications for statistics, including fields such as science and medicine, government, business and education.

Students of Statistics will acquire the analytical techniques, clear logical thinking and deductive reasoning necessary to explore some of these fascinating areas of research.

The MMath (Hons) allows you to combine undergraduate and postgraduate study into a single five-year programme, graduating with a Masters degree.

Students can also take Statistics as a standard four-year BSc degree.

Facilities

Location

Start date

St Andrews (Fife)
See map
University Of St Andrews, KY16 9AJ

Start date

On request

About this course

The demand for mathematically able graduates exceeds the supply and the career prospects for graduates in Statistics from St Andrews are excellent. Clear logical thinking, deductive reasoning, confidence in data handling, and IT skills are attributes that are highly prized by employers.

Around one-third of Mathematics and Statistics graduates go on to pursue postgraduate qualifications either in the UK or abroad, and develop research careers. Others gain employment in a variety of sectors including:
accountancy
actuarial profession
civil service
computing
intelligence (private sector)
investment banking and investment management
management consultancy
political risk analysis
technical and investigative science.

AAAB, including A in Mathematics and one other science from the following:
Biology or Human Biology
Chemistry
Computing Science or equivalent
Geography
Physics
Psychology.

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Reviews

5.0
  • I am in complete love with the university except for the wifi.
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4.8
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Course rating

Recommended

Centre rating

Student

5.0
16/10/2018
What I would highlight: I am in complete love with the university except for the wifi.
What could be improved: -
Would you recommend this course?: Yes
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This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • Statistics
  • Mathematics
  • Calculus
  • GCSE Mathematics
  • Methods
  • Techniques
  • Abstract Algebra
  • Bayesian Inference
  • Computing
  • Sampling Theory
  • Statistical Inference

Course programme

First Year

Students will take between one and three first-year modules in mathematics. There is one core compulsory module, 'Mathematics', that can be studied in either semester.
  • Mathematics: introduces ideas, methods and techniques required for applying mathematics in the physical sciences or for further study in mathematics.
Students who do not possess at least a B at Advanced Higher or A-Level Mathematics will need to take Introductory Mathematics in their first semester before taking the compulsory Mathematics module. This option is popular for students on different degree routes who wish to study Mathematics.
  • Introductory Mathematics: designed for students who do not meet the entry requirements for the first-year Mathematics module. Provides a secure base in elementary calculus.
First year students interested in Statistics can also choose modules in Mathematics, and in Pure and Applied Mathematics. Find a full list of first year Mathematics modules in the module catalogue.

Second Year

Students will take the following compulsory second-year modules:
  • Abstract Algebra: explores the key concepts of modern abstract algebra: groups, rings and fields.
  • Analysis: introduces key concepts of real analysis: limit, continuity and differentiation.
  • Combinatorics and Probability: introduces counting techniques for finite structures, and the behaviour of random variables.
  • Linear Mathematics: builds on existing knowledge of matrices and systems of linear equations.
  • Mathematical Modelling: investigates the translation of physical problems into mathematics.
  • Multivariate Calculus: extends basic calculus in a single variable to the setting of real functions of several variables.
  • Statistical Inference: introduces techniques for drawing inferences about population characteristics from observed data.
  • Vector Calculus: introduces the theory of scalar and vector fields and associated techniques for the modelling of problems arising in the physical world.
Honours

If you decide to take Statistics in your final three years, you choose from a wide variety of advanced options, ranging from statistical theory to practical applications in computer science.

Here is a sample of Honours modules which have been offered in previous years:
  • Bayesian Inference
  • Markov Chains and Processes
  • Population Genetics
  • Quantitiative Risk Management
  • Statistical Inference.
Fifth Year

In fifth year, you will be able to take Masters-level modules. In the past, these have included:
  • Advanced Data Analysis
  • Applied Multivariate Analysis
  • Estimating Animal Abundance
  • Medical Statistics.
In your final year, you also undertake an advanced project on a topic chosen in consultation with the teaching staff at the School of Mathematics and Statistics. You will be required to investigate the topic in some depth, submit a report and give a presentation.

Additional information

Overseas£22,350

Statistics MMath (Hons)

£ 9,250 VAT inc.