(Full time) 2022 start
Statistics MSc
Coronavirus information for applicants and offer holders
We hope that by the time you’re ready to start your studies with us the situation with COVID-19 will have eased. However, please be aware, we will continue to review our courses and other elements of the student experience in response to COVID-19 and we may need to adapt our provision to ensure students remain safe. For the most up-to-date information on COVID-19, regularly visit our website, which we will continue to update as the situation changes www.leeds.ac.uk/covid19faqs
Overview
Our Statistics MSc is a flexible Masters degree enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics.
The course combines in-depth training in mainstream advanced statistical modelling with a broad range of specialisations, including financial mathematics, clinical trials and 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.
Course highlights
Our courses are shaped by our leading research in areas such as probability and financial mathematics, modern applied statistics, and analysis.
Access to modern facilities and computing equipment throughout the school, complemented by social areas, communal problem-solving spaces and quiet study rooms
Benefit from the school’s close links with organisations like Leeds Institute for Data Analytics, Leeds Institute for Fluid Dynamics and the Alan Turing Institute
A diverse and supportive community of mathematicians from all over the world
Programme team
Programme leader, Dr Luisa Cutillo, current research interests are related to Networks and Networks applications. In particular, she is interested in studying and validating Networks structures and in biomendical networks application. Additionally, Dr Cutillo was part of a team that organised a COST action event, Women in Networks (WiN) It brought together women from around the world working in networks modelling and applications and hosted at the School of Mathematics.
Accreditation
This programme is accredited by the Royal Statistical Society.
Course content
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.
You’ll learn a range of statistical computing techniques and develop research skills such as academic writing, programming and literature searches.
Options within the course vary from mainstream topics in statistical methodology to allow you to specialise in the areas of statistics that interest you. Specialist areas within the course include biological or financial applications of statistics, or broad-based statistical expertise.
Want to find out more about your modules?
Take a look at the Statistics module descriptions for more detail on what you will study.
Course structure
The list shown below represents typical modules/components studied and may change from time to time. Read more in our Terms and conditions.
Modules
Year 1
Compulsory modules
- Statistical Computing 15 credits
- Dissertation in Statistics 60 credits
Optional modules (selection of typical options shown below)
- Mathematical Biology 15 credits
- Evolutionary Modelling 15 credits
- Linear Regression and Robustness 15 credits
- Statistical Theory 15 credits
- Stochastic Calculus for Finance 15 credits
- Multivariate Analysis 10 credits
- Time Series 10 credits
- Generalised Linear Models 10 credits
- Introduction to Clinical Trials 15 credits
- Medical Statistics in Practice 15 credits
- Mixed Models with Medical Applications 15 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, Robustness and Smoothing 20 credits
- Multivariate and Cluster Analysis 15 credits
- Time Series and Spectral Analysis 15 credits
- Generalised Linear and Additive Models 15 credits
- Independent Learning and Skills Project 15 credits
Learning and teaching
Teaching is by lectures, tutorials, seminars and supervised research projects.
Our Virtual Learning Environment will help to support your studies: it’s a central place where you can find all the information and resources for the School, your programme and modules.
You can also benefit from support to develop your academic skills, within the curriculum and through online resources, workshops, one-to-one appointments and drop-in sessions.
On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.
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.
Applying, fees and funding
Entry requirements
A bachelor degree with a 2:1 (hons) in a subject containing a substantial mathematical and statistical component.
Successful applicants will have a foundation in Statistics including strong grades in statistical modules (no key marks below 2:2). We may ask for further detailed module information if these are not clear on your transcript. We do not normally accept degrees in Accountancy or Finance.
We accept a range of international equivalent qualifications. For more information please contact the Admissions Team.
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
International students who do not meet the English language requirements for this programme may be able to study our postgraduate pre-sessional English course, to help improve your English language level.
This pre-sessional course is designed with a progression route to your degree programme and you’ll learn academic English in the context of your subject area. To find out more, read Language for Science (6 weeks) and Language for Science: General Science (10 weeks).
We are now offering online pre-sessionals alongside our on-campus pre-sessionals. To find out more, read Online Academic English pre-sessional (10 weeks) and Online Academic English pre-sessional (6 weeks).
Read about differences between our online and on-campus summer pre-sessionals.
If you need to study for longer than 10 weeks, read more about our postgraduate pre-sessional English course.
How to apply
Application deadlines
We operate a staged admissions process for this course with selection deadlines throughout the year.
If you do not receive an offer in a particular round, you will either be notified that your application has been unsuccessful, or we will carry your application forward to be considered in the next round.
Please see our How to Apply page for full details and the application deadlines for each stage.
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.
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
University of Leeds Taught Admissions Policy 2023
Fees
- UK: £11,250 (total)
- International: £24,000 (total)
Read more about paying fees and charges.
For fees information for international taught postgraduate students, read Masters fees.
Additional cost information
There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more about additional costs.
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.
Career opportunities
A degree from Leeds and the experience you'll gain here will give you the edge to find the career you want. Your course will give you the experience and knowledge that employers are looking for to help you secure a job.
The University of Leeds is in the top five most targeted universities in the UK by graduate recruiters, according to High Fliers’ The Graduate Market in 2022 report.
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 sectors, including:
Actuarial, betting and gaming industries
Charitable organisations
Commercial, environmental and financial organisations
Forensic and police investigation
Government departments
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.
Read profiles of our alumni to find out more about where some of our graduates are working.
Careers support
At Leeds we help you to prepare for your future from day one. Our Leeds for Life initiative is designed to help you develop and demonstrate the skills and experience you need for when you graduate. We will help you to access opportunities across the University and record your key achievements so you are able to articulate them clearly and confidently.
You’ll have access to the wide range of careers resources and support from your Careers Service. You’ll have the chance to attend industry presentations, book appointments with qualified careers consultants and take part in employability workshops and webinars. Our careers fairs provide further opportunities to explore your career options with some of the UKs leading employers.
You will also have full access to the University’s Careers Centre, which is one of the largest in the country.
There are also plenty of exciting ways you can volunteer during your time at Leeds. Find out more at the Leeds University Union website.