Course summary
The Probability and Statistics group in the Department of Mathematics have a long-standing reputation of offering one-year, high-quality taught courses in areas of Statistics leading to the degree of MSc. These courses have aimed to offer a thorough professional training which prepare students to embark on statistical careers in a variety of areas. There is a shortage of statisticians trained to postgraduate level in the UK, meaning that you will be a highly desired candidate upon completion of this MSc. They have also provided a very good foundation for further study at PhD level. The MSc course in Statistics gives you the freedom to take a common core of five modules as well as three specialist/additional modules depending on your interests and career aspirations.
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Statistical Society, Royal
Entry requirements
The normal entry requirements are a good upper second or first class honours degree from a UK university, or the equivalent from an overseas university, in Mathematics or in a subject with some significant mathematical content. Students should also have some knowledge of Probability and Statistics in their degree, at least up to what might be expected by the end of the second year of an undergraduate Mathematics degree. You are expected to have a first degree with a substantial amount of mathematics including Probability and Statistics. As a minimum you should have done Calculus or Mathematical Analysis, Linear Algebra, two courses in Probability and two courses in Statistics. A Mathematical Statistics course may count as one Probability and one Statistics course depending on the syllabus. If your course is called Advanced Mathematics, then we need to know how much calculus/linear algebra it contains. You can have a look at what Manchester students do in the first two years, or refer to the following list for a quick summary. Calculus or Mathematical Analysis (functions of a single and several variables, continuity, derivatives, integrals, Mean Value Theorem, Taylor series expansion, minimisation and maximisation, Lagrange multipliers) Linear Algebra (linear independence, determinant, inverse, eigenvalues and eigenvectors) Probability I (probabilities and conditional probabilities, Bayes Theorem, moments) Probability II (multivariate and conditional distributions, generating functions, Law of Large Numbers and Central Limit Theorem) Statistics I (descriptive statistics, normal, t, chi-square and F distributions, significance tests) Statistics II (Maximum likelihood estimation, Likelihood ratio tests, simple regression and analysis of variance). You are expected to have done well in the above courses and your university should have a high national standing.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
For more information, see the Department of Mathematics Fees and funding page or visit the University of Manchester funding for master's courses website for more information.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL