Statistics with Applications to Finance MSc

Year of entry

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Start date
September 2023
Delivery type
On campus
Duration
12 months full time
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.
Full entry requirements
English language requirements
IELTS 6.5 overall, with no less than 6.0 in all components
UK fees
£13,000 (total)
International fees
£27,000 (total)
Accredited
Yes

Course overview

MSc Data Science and Analytics

Data is integral to our society and there’s an ongoing demand for numerate specialists in a broad range of industries. From finance to governmental departments, the emergency services to gaming – the career opportunities that’ll open up to you with a statistics MSc could be far-reaching.

Our Statistics with Applications to Finance MSc is a focused degree programme which enables you to broaden and deepen your understanding of statistics and financial applications. It combines in-depth training in mainstream advanced statistical modelling with a specialisation in financial mathematics.

As well as the statistics expertise from within the School of Mathematics, the MSc also draws on experience in financial mathematics from Leeds University Business School.

Both the School of Mathematics and the Leeds University Business School are home to specialist facilities and passionate academics who are experts in their fields. The Schools are also responsible for delivering internationally excellent research and have strong links with industry and a whole range of research institutions.

This means, once you’ve graduated, you’ll be fully equipped with the most up-to-date practices and techniques, alongside the technical skill set you’ll need to pursue an exciting career in a variety of job roles.

Why study at Leeds:

  • Learn the latest innovations in areas such as probability and financial mathematics, modern applied statistics and analysis from our world-leading research conducted right here on campus in the School of Mathematics and Leeds University Buiness School that feeds directly into the course.
  • Benefit from our School’s close links with organisations like Leeds Institute for Data Analytics, Leeds Institute for Fluid Dynamics and the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.
  • Advance your knowledge and skills in key areas of statistics, risk management and time finance.
  • Tailor the degree to suit your specific interests with a large selection of optional modules to choose from, with everything from programming to statistical computing, mixed models to linear regression – plus many more.
  • Put theory into practice and conduct a project which focuses on a topic that matches your interests, giving you the chance to apply the knowledge acquired throughout the course and demonstrate independent research skills necessary for a professional or academic career.
  • Access excellent teaching facilities and computing equipment throughout the school, complemented by social areas and communal problem-solving spaces.
  • Experience expert theoretical and practical teaching delivered by a programme team made up of academics who specialise in a wide range of areas in mathematics and statistics.
  • Enhance your career prospects and join our successful alumni who have secured jobs in many excellent organisations.
  • Be part of a diverse and supportive community of mathematicians from all over the world.

Accreditation

Royal Statistical Society

Course details

The first two semesters of your course will consist of taught modules and in the third semester you'll devote your time to a major dissertation. Within each semester you'll take compulsory modules, with some optional modules available to suit your individual needs to broaden your knowledge in statistics.

In the first two semesters you’ll be introduced to forecasting future values within a time series and explore financial investments such as stocks and shares and develop the necessary probabilistic tools to evaluate risks within the market.

You’ll also look at risk assessment in detail, gaining comprehensive knowledge of mathematical and practical approaches to financial risk management. Avoiding the disastrous consequences of badly managed financial risk requires detailed mathematical knowledge of how to quantify that risk. The course also covers the pricing of financial assets.

Your third semester will be taken up by a dissertation in statistics. This will consist of a three-month research project undertaken in the summer on a topic chosen in conjunction with project supervisors, culminating in a dissertation on that project.

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.

For more information and a full list of typical modules available on this course, please read Statistics with Applications to Finance MSc in the course catalogue

Year 1 compulsory modules

Module Name Credits
Discrete Time Finance 15
Continuous Time Finance 15
Risk Management 15
Time Series and Spectral Analysis 15
Dissertation in Statistics 60

Year 1 optional modules (selection of typical options shown below)

Module Name Credits
Mixed Models 10
Bayesian Statistics 10
Generalised Linear Models 10
Mixed Models with Medical Applications 15
Introduction to Programming 5
Computations in Finance 15
Linear Regression, Robustness and Smoothing 20
Multivariate and Cluster Analysis 15
Bayesian Statistics and Causality 15
Generalised Linear and Additive Models 15
Independent Learning and Skills Project 15
Statistical Computing 15

Want to find out more about your modules?

Take a look at the Statistics with Applications to Finance module descriptions for more detail on what you'll study.

Learning and teaching

This programme is taught jointly between the School of Mathematics and the Leeds University Business School. You'll study a mixture of modules taught by specialists in each school though a combination of lectures and small group workshops.

Specialist facilities

Extensive use is made of IT and a wide range of materials is available to enable students to study at their own pace and in their own time to enhance and extend the material taught formally.

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.

Programme team

Programme leader, Dr Luisa Cutillo's, current research interests are related to networks and networks applications. In particular, she is interested in studying and validating networks structures and in biomedical 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 was hosted at the School of Mathematics.

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 3 project is assessed by a written dissertation and a short oral presentation.

Applying

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 also offer online pre-sessionals alongside our on-campus pre-sessionals. You could study a part-time online course starting in January, or a full-time course in summer. Find out more about online pre-sessionals.

You can also study pre-sessionals for longer periods – read about our postgraduate pre-sessional English courses.

How to apply

Application deadlines

We operate a staged admissions process for this course with selection deadlines throughout the year.

Please read our Staged Admissions page for full details, including application deadlines and what to include with your application.

The ‘Apply’ link at the top of this page 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

This course is taught by

School of Mathematics

Contact us

School of Mathematics Admissions Team

Email: maths-msc@leeds.ac.uk
Telephone:

Fees

UK: £13,000 (total)

International: £27,000 (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

There is a shortage of well-qualified statisticians globally. 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.

Plus, 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.

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.

Here’s an insight into some of the job positions and organisations previous statistics graduates have secured:

  • Statistical Specialist, Osmunda Group
  • Statistical Consultant, University of Sheffield
  • Statistician, Unilever
  • Statistician, CSS
  • Risk Analyst, Albourne Cyprus Limited
  • Bio Statistician, King Khaled Eye Specialist Hospital
  • Data Scientist, City Football Group
  • Programme Analyst, Journey Further
  • Actuary, Xafinity Consulting Ltd
  • Data Scientist, IBM
  • Assistant Professor-Biostatistics, University of South Florida
  • Chief Planning Officer, Health Department-KP

Careers support

At Leeds, we help you to prepare for your future from day one. Our wide range of careers resources — including our award-winning Employability team — are on hand to offer guidance and support, ensuring you are prepared to take your next steps after graduation and get you where you want to be.

  • Employability events — we run a full range of events including careers fairs in specialist areas and across broader industries — all with employers who are actively recruiting for roles. 
  • MyCareer system — on your course and after you graduate, you’ll have access to a dedicated careers portal where you can book appointments with our team, get information on careers and see job vacancies and upcoming events.
  • Qualified careers consultants — gain guidance, support and information to help you choose a career path. You’ll have access to 1-2-1 meetings and events to learn how to find employers to target, research before interviews and brush up on your interview skills.
  • Opportunities at Leeds — there are plenty of exciting opportunities offered by our Leeds University Union, including volunteering and over 300 clubs and societies to get involved in.

Find out more about career support.