MSc Statistics / Course details

Year of entry: 2022

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Course description

The Probability and Statistics group in the Department of Mathematics have a long-standing reputation and experience 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 and the employment prospects for such people remain good.) They have also provided a very good foundation for further study at PhD level.

Our current MSc programme in Statistics allows students to take either the main programme or the associated pathway in Financial Statistics, depending on their interests and career aspirations. Each is built around a common core of five modules and then students study an additional set of three specialist/additional modules to make a total of eight in all.

Coursework and assessment

There are two teaching semesters of 12 weeks each and approximately 15 weeks of dissertation work. Assessment for the taught part is by exams and coursework. Following the successful completion of the taught part (worth a total of 120 credits) students are then expected to work on a dissertation from June to September which is worth a further 60 credits, making 180 credits in total. Information on the various topics and projects which will be available for dissertation are provided to the students in May from which they are invited to state their preferences.

Course unit details

The taught part of the programme is divided into two 12-week semesters, each followed by a two- or three-week period of examinations.  This in turn is followed by a period of approximately 12 weeks of research work over the summer which is supervised by a member of academic staff and ends with submission of the MSc dissertation in September. Full-time students attend weekly lectures and support classes for four modules (4 x 15 credits) in each semester.  Students can also enrol on a part-time basis.  In this case they study over a two year period and only take two modules per semester, with the dissertation being completed at the end of the second year. Details of the programme structure are given below.

Main Programme

Semester One:

  • Linear Models with Nonparametric Regression
  • Statistical Computing
  • Statistical Inference
  • Multivariate Statistics

Semester Two:

  • Generalized Linear Models and Survival Analysis
  • Longitudinal Data Analysis
  • Markov Chain Monte Carlo (MCMC)
  • Design and Analysis of Experiments

Financial Statistics Pathway

This comprises a core of five modules which are common to the main programme, plus three specialist modules in financial statistics.

Semester One:

  • Linear Models & Nonparametric Regression
  • Statistical Computing
  • Statistical Modelling in Finance
  • Extreme Values and Financial Risk

Semester Two:

  • Generalized Linear Models & Survival Analysis
  • Longitudinal Data Analysis
  • Markov Chain Monte Carlo (MCMC)
  • Time Series Analysis and Financial Forecasting

This degree programme (including the pathway) is accredited by the Royal Statistical Society.

Accreditation by the Royal Statistical Society (RSS) provides reassurance that our MSc programme produces graduates with the technical skills and subject knowledge required of a statistician. This provides our graduates with a competitive edge in the job market and provides employers with an assurance of quality of our degree.

Dissertation: Following the successful completion of the taught part of the programme (worth a total of 120 credits) students are then expected to work on a dissertation from June to September which is worth a further 60 credits, making 180 credits in total.  Information on the various topics and projects which will be available for dissertation are provided to the students in May from which they are invited to state their preferences.  

Course unit list

The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.

TitleCodeCredit ratingMandatory/optional
Statistical Inference MATH68001 15 Mandatory
Linear Models with Nonparametric Regression MATH68011 15 Mandatory
Generalised Linear Models and Survival Analysis MATH68052 15 Mandatory
Multivariate Statistics MATH68061 15 Mandatory
Design and Analysis of Experiments MATH68082 15 Mandatory
Statistical Computing MATH68091 15 Mandatory
Markov Chain Monte Carlo MATH68122 15 Mandatory
Longitudinal Data Analysis MATH68132 15 Mandatory

Facilities

The Department of Mathematics is the largest in the UK with an outstanding research reputation and facilities .

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: dass@manchester.ac.uk