Overview

As a student on the MSc Financial Technology at University College London (UCL), you will learn about new digital business models, how innovation through technology is changing financial services, technology skills in blockchain, and machine learning applications in finance. As you progress through the programme, you will develop quantitative finance skills and apply technology in the domain.

Employability

This programme is designed to help you gain a critical awareness of current issues and the development of financial systems and markets. You will also develop strong quantitative finance, financial technology and business and strategy skills related to the financial services industry. Individuals who wish to pursue technology-led finance and banking careers will be strongly equipped through this master’s programme. Universal banks, mutual, pension and hedge funds, investment banks, governments, central banks, advisory bodies and new challenger fintech start-ups and technology companies should be prospective employers for you.

At the end of this programme, you will be able to perform analytical tasks basic to the financial services industry (focussed on quantitative finance), including the analysis and interpretation of data and big data. You will be able to gain a broad understanding of how technology is applied in the financial services domain to business models, practices and quantitative finance. You will be able to use strategic thinking on how emerging technologies are changing the financial services landscape. Finally, you will be able to deploy machine learning tools and design blockchain technology solutions.

Programme Structure

Courses include:

Machine Learning with Applications in Finance
Blockchain Technologies
Digital Finance
Innovation and Strategy in Finance
Data-driven Modelling of Financial Markets
Applied Computational Finance
Operational Risk Measurement for Financial Institutions
Networks and Systemic Risk
Financial Engineering

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2023-09-25 00:00:00
- Apply before 2023-03-31 00:00:00

More details

We recommend you apply as soon as possible. The programme may remain open if places are still available and will be closed as soon as it's full or by 30 June.

Language

English

IELTS

7

Start preparing for IELTS today!

TOEFL^® IBT

100

Credits

180 alternative credits

Delivered

On Campus

Disciplines

Finance Data Science & Big Data Machine Learning View 807 other Masters in Finance in United Kingdom

Academic requirements

GPA

Upper Second Class

English requirements

IELTS

7

Start preparing for IELTS today!

TOEFL^® IBT

100

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

Additional medical costs (i.e. dental)
Repatriation, if something happens to you or your family
Liability
Home contents and baggage
Accidents
Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University College London (UCL) and/or in United Kingdom, please visit Student Insurance Portal.

Other requirements

General requirements

An upper-second class UK Bachelor's degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering or a similarly quantitative subject.
Programming experience in a language such as Python, C++ or Matlab is an advantage but is not mandatory. Relevant work experience is also taken into account. Some programming experience means that you have experience of working on projects deploying code or have passed modules/ assessments in your previous education with coding components. If you do not have this knowledge, there will be tutorials offered at the beginning of the programme, but you will be expected to get up to speed rapidly.
A self-assessment test will be available to determine if you will need additional support for coding. A good knowledge of linear algebra, statistics and probability theory will be assumed.

Tuition Fee

To always see correct tuition fees

International

41500 GBP/year

Tuition Fee

Based on the tuition of 41500 GBP per year during 12 months.
National

41500 GBP/year

Tuition Fee

Based on the tuition of 41500 GBP per year during 12 months.

Living costs for London

1137 - 2157 GBP /month

Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Studyportals Scholarship Deadline: 30 June 2020

Apply and win up to €10000 to cover your tuition fees.

Studyportals Scholarship Deadline: 30 June 2020

Apply and win up to €10000 to cover your tuition fees.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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Scholarships Information

Below you will find Master's scholarship opportunities for Financial Technology.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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