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Statistics MSc

(Full time) 2018/19

Masters in Statistics

The MSc in Statistics is a flexible degree programme enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics.

The programme combines in-depth training in mainstream advanced statistical modelling with a broad range of specialisations - from financial mathematics to statistical bioinformatics; from shape analysis to risk management. You’ll also develop your understanding of research methods in statistics from writing styles to programming skills, preparing you for a wide range of careers in different sectors. You’ll apply these skills in an independent research project.

If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.

Accreditation

This programme is accredited by the Royal Statistical Society under the condition that the final degree transcript shows at least 60 statistics credits in year 3.

The first two semesters of your course will consist of taught modules and in the third semester you will devote your time to a major dissertation.

Within each semester there is one compulsory module and a range of optional modules, allowing you to specialise in the area of statistics of most interest to you. Specialist areas within the course include biological or financial applications of statistics or broad based statistical expertise. The core modules will develop your skills to lay the groundwork of the programme. You’ll learn a range of statistical computing techniques and build research skills such as academic writing, programming and literature searches. Options within the course vary from mainstream topics in statistical methodology to more specialised areas and reflect specific research interests of our academic staff - examples include statistical shape analysis, directional data, statistical genetics and stochastic financial modelling.

Course structure

Year 1

Compulsory modules

  • Independent Learning and Skills Project 15 credits
  • Statistical Computing 15 credits
  • Dissertation in Statistics 60 credits

Optional modules

  • Introduction to Clinical Trials 15 credits
  • Core Epidemiology 15 credits
  • Multilevel and Latent variable Modelling 15 credits
  • Advanced Modelling Strategies 15 credits
  • Advanced epidemiological techniques 15 credits
  • Mathematical Biology 15 credits
  • Evolutionary Modelling 15 credits
  • Linear Regression and Robustness 15 credits
  • Statistical Theory 15 credits
  • Stochastic Financial Modelling 15 credits
  • Multivariate Analysis 10 credits
  • Time Series 10 credits
  • Bayesian Statistics 10 credits
  • Generalised Linear Models 10 credits
  • Introduction to Statistics and DNA 10 credits
  • Discrete Time Finance 15 credits
  • Continuous Time Finance 15 credits
  • Risk Management 15 credits
  • Advanced Mathematical Biology 20 credits
  • Advanced Evolutionary Modelling 20 credits
  • Linear Regression and Robustness and Smoothing 20 credits
  • Multivariate and Cluster Analysis 15 credits
  • Time Series and Spectral Analysis 15 credits
  • Bayesian Statistics and Causality 15 credits
  • Generalised Linear and Additive Models 15 credits
  • Statistics and DNA 15 credits

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

For more information on typical modules, read Statistics MSc in the course catalogue

Learning and teaching

Teaching is by lectures, tutorials, seminars and supervised research projects.

Assessment

The taught course is primarily assessed by end-of-semester examinations with a small component of continuous assessment. The semester three project is assessed by a written dissertation and a short oral presentation.

Entry requirements

A bachelor degree with a 2:1 (hons) in a relevant subject.

We accept a range of international equivalent qualifications.

English language requirements

IELTS 6.5 overall, with no less than 6.0 in all components. For other English qualifications, read English language equivalent qualifications.

Improve your English

If English is not your first language, you may be able to take a pre-sessional course before you begin your studies. This can help if you:

  • don't meet the English language requirements for your course or
  • want to improve your understanding of academic language and practices in your area of study.

Our pre-sessional courses are designed with a progression route to the degree programme and are tailored to the subject area. For information and entry requirements, read Language for Science (6 weeks) and Language for Science: General Science (10 weeks)

How to apply

Apply

This link takes you to information on applying for taught programmes and to the University's online application system.
 
If you're unsure about the application process, contact the admissions team for help.

Documents and information you’ll need

Original or certified copies of your transcripts

Original or certified copies of your degree certificate

Copy of passport (if applicable)

Letter of sponsorship (if applicable)

Names of two academic references

Original or certified copy of your IELTS/TOEFL results (if applicable)

It may help your application if you include a personal statement and CV.

Read about visas, immigration and other information in International students. We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.

Admissions policy

Faculty of Mathematics and Physical Sciences Taught Postgraduate Admissions Policy

Fees

UK/EU: £9,250 (total)

International: £19,500 (total)

Read more about paying fees and charges.

For fees information for international taught postgraduate students, read Masters fees.

Scholarships and financial support

If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There may be help for students in the form of loans and non-repayable grants from the University and from the government.  Find out more at Masters funding overview.

The School of Mathematics offers a range of scholarships for UK, EU and International students.

Find out more about our Scholarships.

There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers.

The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of professions - actuarial, betting and gaming industries, charitable organisations, commercial, environmental, financial, forensic and police investigation, government, market research, medical and pharmaceutical organisations. The course is designed specifically to meet this demand.

Many statistical careers require people educated to masters degree level. This course is designed to build on existing mathematical skills and deepen knowledge of statistics in order for you to access a variety of professions or pursue further research as a PhD student.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.

Key facts

Start date:
September 2018

Duration/Mode:
12 months full time

UK/EU fees:
£9,250 (total)
International fees:
£19,500 (total)

Entry requirements:
A bachelor degree with a 2:1 (hons) in a relevant subject

Language requirements:
IELTS 6.5 overall, with no less than 6.0 in all components

Apply

Contact us:
School of Mathematics Admissions Team
+44 (0)113 343 0945
maths-msc@leeds.ac.uk