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Applied Statistics and Financial Modelling

MSc

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Key information

Key information for 2027-28

Start date:
October 2027
Study route:

  • One year full-time, on campus

  • Two years part-time, on campus

Status:
Fully approved
Location:
ÌÇÐÄlogoÈë¿Ú Campus, Central London
Awarding body:
University of London
Study options:
Full-time | Part-time | On campus

Course overview

With a strong emphasis on practical application, this MSc Applied Statistics and Financial Modelling is designed to deepen your understanding of statistical methods and financial modelling techniques. It is ideal if you work in the arena of finance, data analysis or research but want to excel in a competitive job market.

  • Why choose this course?
    • You will learn from experienced lecturers who are leaders in their fields, bringing real-world insights and cutting-edge research into the classroom.
    • The course has a comprehensive curriculum covering topics including advanced statistical methods, financial econometrics and risk management.
    • It benefits from our partnerships with leading financial institutions and gives you the chance to attend exclusive events to help enhance your professional network.
    • This course's strong reputation and practical focus help our graduates stand out for some of the top employers in finance, consulting and data analytics.

  • What will I learn?

    You will master advanced statistical techniques and financial modelling tools to help prepare you for success in roles in data analysis, risk management and economic forecasting. The curriculum is also designed to equip you with practical skills directly applicable to real-world scenarios, ensuring you are ready to tackle complex career challenges.

  • How will I learn?

    This course is taught via a blend of lectures, seminars and workshops, providing you with a dynamic and interactive learning environment. It emphasises a hands-on approach to learning, ensuring you can apply theoretical knowledge to practical problems.

    This course is available to study full- or part-time and follows an evening timetable.

  • How often will I attend classes?

    Full-time: Four evenings a week, October to July.

    Part-time: Two evenings a week, October to July.

  • Course disclaimer

    ÌÇÐÄlogoÈë¿Ú makes all reasonable efforts to deliver educational services, modules and programmes of study as described on our website. In the event that there are material changes to our offering (for example, due to matters beyond our control), we will update applicant and student facing information as quickly as possible and offer alternatives to applicants, offer-holders and current students.

    Most of our courses are taught in the evenings, however some of our courses offer a daytime timetable. Where there is an option to attend daytime teaching sessions, this is stated in the How will I learn? section.

More highlights

  • This course is accredited by the - graduates may be granted Graduate Statistician (GradStat) status.
  • We offer state-of-the-art resources with access to cutting-edge software and tools in our modern computer labs.
  • You will join a diverse and inclusive community of students and faculty which fosters collaboration and networking.
  • We are located in the heart of London, with access to world-class facilities and vibrant cultural experiences, including University of London seminar programmes in probability and statistics, and excellent library facilities close by in Bloomsbury.
  • Our teaching is informed by the needs of employers and you will be taught by academics who are professional practitioners involved in the world of economics and international finance. They provide specialist advice and training to government departments and City firms and banks.
  • We have active research groups in mathematics, econometrics and statistics, macroeconomics and microeconomics, that all host visiting speakers and organise seminars you can attend. For example, our ÌÇÐÄlogoÈë¿Ú Centre for Applied Macroeconomics disseminates research, hosts events and houses visiting academics.

Modules and Teaching

School of Computing and Mathematical Sciences

A world-leading centre in algorithms, data science, artificial intelligence, and logical methods, and a centre of excellence in research.

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Entry requirements

A second-class honours degree (2:2) or above, with mathematics or statistics as a main subject.

Other degrees or professional qualifications may also be acceptable, such as the Graduate Diploma of the Royal Statistical Society.

We welcome applicants without traditional entry qualifications as we base decisions on our own assessment of qualifications, knowledge and previous work experience. We may waive formal entry requirements based on judgement of academic potential.

On your application form, please list all your relevant qualifications and experience, including those you expect to achieve.

Apply now to secure your place. The earlier you apply, the sooner your application can be considered, and you can enrol. You do not need to have completed your current qualification to start your application.

  • What are the English language requirements?

    If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests. We also accept other English language tests.

    If you don't meet the minimum English language requirements, please contact us or see our for more details about how we can help.

    Visit the International section of our website to find out more about our English language entry requirements and relevant requirements by country.

  • What are the visa and funding requirements?

    If you are not from the UK and you do not already have residency here, you may need to apply for a visa.

    The visa you apply for varies according to the length of your course:

    • Courses of more than six months' duration: Student visa
    • Courses of less than six months' duration: Standard Visitor visa

    International students who require a Student visa should apply to study on our courses full-time as these qualify for Student visa sponsorship. If you are living in the UK on a Student visa, you will not be eligible to enrol to study part-time courses at ÌÇÐÄlogoÈë¿Ú (with the exception of some modules).

    As a Student visa student, you should also apply to study on campus only, as online and flexible options of study  (if they are available for your course) may affect the conditions of your visa.

    For full information, read our visa information for international students page.

    Please also visit the international section of our website to find out more about relevant visa and funding requirements by country.

    Please note students receiving US Federal Aid are only able to apply for in-person, on-campus programmes which will have no elements of online study.

  • Credits and accredited prior learning (APL)

    If you have studied at university (or have an HND or Foundation Degree), you may have accumulated credits. It may be possible to transfer these from your previous study to ÌÇÐÄlogoÈë¿Ú or another institution.

Come and meet us

14 October
Postgraduate International Webinar

If you are an international student looking to start postgraduate study in January 2027, this webinar is for you. Book Postgraduate International Webinar

11 November
January Starts 2027: Postgraduate Open Evening

Are you looking to start postgraduate study in 2027? Join us on campus and discover your postgraduate study options. Book Postgraduate Open Evening

Campus tours

Join a current student for a lively 45-minute campus tour available year-round. Book a campus tour

Fees

MSc: One year full-time or two years part-time, on campus, starting in October 2027

Academic year 2027-28

Part-time home students, Year 1: £6,180 per year
Part-time home students, Year 2: £9,150 per year
Full-time home students: £15,330 per year
Part-time international students, Year 1: £12,750 per year
Part-time international students, Year 2: £12,750 per year
Full-time international students: £25,500 per year

Students are charged a tuition fee in each year of their course. Tuition fees for students continuing their course may be subject to annual inflationary increases. For more information, please see the Fees Policy.

Discover the financial support available to you to help with your studies at ÌÇÐÄlogoÈë¿Ú.

ÌÇÐÄlogoÈë¿Ú's campus is located in the historic and vibrant Bloomsbury area of central London - named one of the best places to live in London 2025 by .

Careers and employability

On successfully graduating from this MSc Applied Statistics and Financial Modelling, you will have gained an array of essential transferable skills, including in:

  • advanced data analysis and statistical modelling
  • financial forecasting and risk management
  • critical thinking and problem-solving
  • effective communication and presentation skills.

Graduates can pursue career paths in data collection, research, analysis, modelling and forecasting. Possible professions include:

  • financial analyst
  • data scientist
  • risk manager
  • quantitative researcher roles.

Our graduates have gone on to be employed by organisations such as Goldman Sachs, JP Morgan, Deloitte and the Bank of England.

Further information about careers in statistics is available from the .

We offer a comprehensive careers service - Careers and Enterprise - your career partner during your time at ÌÇÐÄlogoÈë¿Ú and beyond. At every stage of your career journey, we empower you to take ownership of your future, helping you to make the connection between your experience, education and future ambitions.

Student support

ÌÇÐÄlogoÈë¿Ú offers study, learning and wellbeing support to undergraduate and postgraduate students to help them succeed.

Our Learning Development Service provides a lively programme of free weekly workshops building essential academic skills - from writing and critical thinking to maths and referencing - offering flexible sessions, practical tips, and online resources to boost your skills and confidence.

Our Disability and Mental Health Service can support you if you have disabilities, specific learning differences, mental health conditions or neurodivergence, by providing practical support to help you achieve your academic potential.

Our Counselling Service aims to support you with any emotional and psychological difficulties that are affecting your experience and engagement with your studies at university. It is a free, non-judgemental and confidential service which consists of a consultation process followed by time limited counselling contact.

Find out more about the full range of student services we offer at ÌÇÐÄlogoÈë¿Ú.

How to apply

You apply directly to ÌÇÐÄlogoÈë¿Ú for this course, using the online application link.

You will need to prove your identity when you apply. Find out more on our how to apply page.

Related courses

Study routes for Applied Statistics and Financial Modelling (MSc)

Please select a study route below to continue your application.

Please note that international students who require a Student visa to study in the UK can only apply for full-time, on campus routes.

Starting in October 2027

Full-time

Part-time