Statistics MSc

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Degree awarded: MSc

Duration: 12 months full time

Entry requirements:

The normal entry requirements are at least a good upper second class honours degree from a UK University, or the equivalent from an overseas University, in Mathematics or in a subject with significant mathematical content.  Students should also have a sound background of basic probability and statistics in their degree, at least up to the second year level of a Mathematics degree in the UK. Specialist knowledge of finance for the Financial Statistics pathway is not required.

Contact email: pgt-maths@manchester.ac.uk

Contact telephone: +44 (0)161 275 0174

How to apply: Apply online  Please indicate which pathway you wish to pursue when making your online application (Statistics or Financial Statistics).  All options are available on the online application form.

Course options

Full-time Part-time Full-time distance learning Part-time distance learning
MSc Y Y N N

Course description

The Probability and Statistics group (4 Professors, 3 Senior Lecturers and 10 Lecturers) in the School 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 one of two different MSc degrees, depending on their interests and career aspirations. There is the main programme in Statistics and one associated pathway in Financial Statistics.  Each is built around a common core of five modules and then students study an additional set of three specialist modules to make a total of eight in all. 

Fees

For entry in the academic year beginning September 2018, the tuition fees are as follows:

  • MSc (full-time)
    UK/EU students (per annum): £10,500
    International students (per annum): £18,000
  • MSc (part-time)
    UK/EU students (per annum): £5,250
    International students (per annum): £9,000

The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.

All fees for entry will be subject to yearly review and incremental rises per annum are also likely over the duration of courses lasting more than a year for UK/EU students (fees are typically fixed for International students, for the course duration at the year of entry). For general fees information please visit: postgraduate fees . Always contact the department if you are unsure which fee applies to your qualification award and method of attendance.

Self-funded international applicants for this course will be required to pay a deposit of £1000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. This deposit will only be refunded if immigration permission is refused. We will notify you about how and when to make this payment.

Scholarships/sponsorships:

Details of current funding opportunities for this programme can be found here .

Academic entry qualification overview:

The normal entry requirements are at least a good upper second class honours degree from a UK University, or the equivalent from an overseas University, in Mathematics or in a subject with significant mathematical content.  Students should also have a sound background of basic probability and statistics in their degree, at least up to the second year level of a Mathematics degree in the UK. Specialist knowledge of finance for the Financial Statistics pathway is not required.

English language:

All applicants for this programme should have a very good level of ability in written and spoken English.  For students whose first degree programme was not taught in English, we require a minimum overall IELTS score of 6.5, with at least 5.5 in each module and 6.0 in writing.

English language test validity: Some English language test results are only valid for two years. Your English language test report must be valid on the start date of the course.

Other international entry requirements: We accept a range of qualifications from different countries. For these and general requirements including English language see entry requirements from your country .

How to apply

Apply online  Please indicate which pathway you wish to pursue when making your online application (Statistics or Financial Statistics).  All options are available on the online application form.

Deferrals

Admissions staff will decide whether to offer places to applicants for deferred entry on their courses and you should not assume that they will grant all such requests. If you request deferral for more than one year, you would normally be required to re-apply, as your chosen course, and your suitability for it, would change over time. English Language test results can only be considered to be current for two years from the test date.

Re-applications

If you applied in the previous year and your application was not successful you may apply again. Your application will be considered against the standard course entry criteria for that year of entry. In your new application you should demonstrate how your application has improved. We may draw upon all information from your previous applications or any previous registrations at the University as a student when assessing your suitability for your chosen course.

Course description

The Probability and Statistics group (4 Professors, 3 Senior Lecturers and 10 Lecturers) in the School 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 one of two different MSc degrees, depending on their interests and career aspirations. There is the main programme in Statistics and one associated pathway in Financial Statistics.  Each is built around a common core of five modules and then students study an additional set of three specialist modules to make a total of eight in all. 

Progression and assessment

There are two teaching semesters of 12 weeks each and approximately 15 weeks of project work. Assessment for the taught part is by exams and coursework.  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 units overview

The taught part of the programme is divided into two 12-week semesters, each followed by a two-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 the academic staff  and ends with  submission of the MSc dissertation in September. In the taught part of the course, full-time students attend weekly lectures and support classes for four modules (4 x 15 credits) in each semester.  Students are also able to enrol on a part-time basis if they wish.  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 MSc Statistics

  Semester One:

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

  Semester Two:

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

 This degree is accredited by the Royal Statistical Society.

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 is also 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.  

Facilities

The School 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

Career opportunities

These programmes will prepare students for a broad range of statistical careers, particularly in the financial, medical, pharmaceutical and industrial sectors of the economy, but also with local and national government agencies, as well as in other areas. They will also provide an excellent foundation for students wishing to pursue advanced postgraduate research in statistics.

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