How to apply

Overview

The details

Course: Financial Technology (Finance)

Start date: October 2024

Study mode: Full-time

Maximum duration: 1 year

Location: Colchester Campus

Based in: Essex Business School

The MSc Financial Technology suite has three unique variants for you to explore so you can tailor your Masters in Financial Technology to suit your interests and goals. In addition to the MSc Financial Technology (Finance) variant, there is also the option of MSc Financial Technology (Economics) and MSc Financial Technology (Computer Science), giving you the chance to specialise in your preferred area of study.

The Finance variant of MSc Financial Technology is perfect for those with a basic understanding of coding, economics or finance. If you are particularly looking to work in the financial services sector, especially in parts of the sector that are concerned with developing and growing new technologies for use in finance, then this could be the course for you.

MSc Financial Technology (Finance) explores the new and innovative technologies that are currently being used and developed to advance the financial services sector. This includes exploring:

blockchain technologies
machine learning
artificial intelligence
application programming interfaces
cryptocurrencies
mobile banking and electronic payments
P2P lending
advisor automation
crowdfunding resources
big data in finance

Our MSc Financial Technology (Finance) is taught at Essex Business School, at our Colchester Campus. Our students and staff join us from all over the world and our teaching is grounded in contemporary issues and professional practice, supported by industry-standard facilities, such as our Bloomberg virtual trading floor.

Discover our trading floor:

Why we're great.

Benefit from round the clock access to our Bloomberg Financial Data Trading Floor and use XTrader and Matlab software to put your ideas into practice.
Become an expert in a fast-moving field that is of crucial importance to the financial sector of today.
Our teaching combines academic and industry expertise with lectures from City experts.

Our expert staff

Finance research at Essex Business School is world-leading in a number of areas, including:

banking
corporate finance
behavioural finance
financial econometrics
forecasting
commodities markets

Our expert finance researchers work alongside the financial industry, regulators and policy-makers both in the UK (for example at the Royal Bank of Scotland and the Bank of England) and internationally (such as the European Central Bank, the Federal Reserve and the Bank for International Settlements). This ensures their research is having a genuine impact on people’s everyday lives.

You’ll be taught by this team of experts, including Professor Franco Fiordelisi, who established our MSc Financial Technology (Finance) programme upon joining Essex Business School.

Franco is a Professor of Banking and Finance and his research revolves around different aspects of bank management, financial risk management, and financial technology. He is also the President of the Financial Intermediation Network of European Studies (FINEST) and has researched and consulted on behalf of the European Central Bank, World Bank, and the Federal Reserve of New York.

All our finance researchers are members of the Essex Finance Centre (EFiC), our research centre that promotes internationally renowned, high-quality academic research in areas such as asset pricing, banking, behavioural finance and financial modelling.

Finance academics are also members of the Essex Centre for Macro and Financial Econometrics, our interdisciplinary research centre established in partnership with the world-class Economics Department at Essex. The Centre aims to conduct and publish world-leading research in macro and financial econometrics.

The Centres run regular seminars that are open to all postgraduate students and which offer an opportunity for you to hear the very latest research and developments in the finance sector.

Specialist facilities

MSc Financial Technology (Finance) is based at our Colchester Campus.

You’ll be studying at Essex Business School, home to the first zero carbon business school in the UK – demonstrating our sustainable approach to business first-hand. Set around a lush winter garden, with shared spaces to encourage collaborative working, you’ll find a wealth of inspiring teaching and study zones:

a virtual trading floor with Bloomberg Financial Market Labs, where you’ll gain hands-on experience and learn how to model financial data in a practical setting
learn in modern lecture theatres with ‘listen again’ recording to aid your study
dynamic blended learning provision for uninterrupted study and engaging online lectures with virtual guest speakers
utilise study booths in our winter garden and versatile break out areas for group working throughout the building
study skills support provided by the Essex Business School Learning Team
networking opportunities with visiting businesses and careers events
Bonds café and adjacent foyer to enjoy on-site fresh food and drink

You'll also benefit from fantastic University facilities located close by, including our state-of-the-art Silberrad Student Centre, complete with an open-access 24-hour Learning Hub and a cutting-edge media centre. You benefit from access to a wide range of specialised banking and finance databases, textbooks and e-books and can book appointments with our subject librarian.

Essex Business School students also have access to quantitative analysis software, such as MatLab, Stata and Eviews which can be accessed remotely and from all university computer labs.

Our building is located on the Knowledge Gateway, home to some of the region’s most exciting enterprises in the science, technology and creative sectors. The Knowledge Gateway provides potential networking and career opportunities for students directly on campus.

Your future

Essex Business School is helping to create the business leaders of the future; those who are creative, innovative and ethically aware.

Many of our graduates enjoy careers in financial analysis, management, public administration and accountancy at some of the world’s most well-known organisations and exciting SMEs, including:

Groupon, a global e-commerce marketplace
KPMG Group, a multinational professional services network
Right Freight Pvt Ltc, an independent freight forwarder
Copal Partners, a financial consultation agency
Capital Markets Intelligence, a financial publisher
Credit Data Research, a business funder

Our Student Support team work closely with the University’s Employability and Careers service to help you with careers information and advice and CV support. They will help you find work experience, internships, placements and voluntary opportunities and provide access to employer talks on campus. We also work closely with the Essex Startups team to support our budding entrepreneurs get their business ideas off the ground.

Entry requirements

UK entry requirements

A 2:2 degree, or international equivalent, in a numerate field such as: Economics, Finance, Mathematics, Statistics, Computer Science, Physics, Engineering or a similar relevant field.

A 2:2 degree, or international equivalent, in Business Management, Business Adminstration, Accounting or Commerce which includes at least two passed modules from the fields of Quantitative Methods, Economics, Finance and/or Investment, or Banking.

We will also consider applicants who hold a CFA Institute Programme Level One, Two or Three (pass or above).

Applicants from any other background will be considered on a case by case basis, dependant on the content of their undergraduate degree or at least two years' relevant work experience in the field of economics, finance, banking, investment, financial engineering or risk management (please include your CV with your application).

International & EU entry requirements

We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.

Sorry, the entry requirements for the country that you have selected are not available here. Please select your country page where you'll find this information.

English language requirements

If English is not your first language, we require IELTS 6.5 overall with a minimum component score of 5.5

Additional Notes

The University uses academic selection criteria to determine an applicant’s ability to successfully complete a course at the University of Essex. Where appropriate, we may ask for specific information relating to previous modules studied or work experience.

Structure

Course structure

We offer a flexible course structure with a mixture of core/compulsory modules, and optional modules chosen from lists. Please be aware that we are planning changes to our first year to make it more relevant to your chosen course.

Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The following modules are based on the current course structure and may change in response to new curriculum developments and innovation.

We understand that deciding where and what to study is a very important decision for you. We’ll make all reasonable efforts to provide you with the courses, services and facilities as described on our website. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, we’ll let our applicants and students know as soon as possible.

Components and modules explained

Components

Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose.

Each component has a status and carries a certain number of credits towards your qualification.

Status	What this means
Core	You must take the set module for this component and you must pass. No failure can be permitted.
Core with Options	You can choose which module to study from the available options for this component but you must pass. No failure can be permitted.
Compulsory	You must take the set module for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.
Compulsory with Options	You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.
Optional	You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.

The modules that are available for you to choose for each component will depend on several factors, including which modules you have chosen for other components, which modules you have completed in previous years of your course, and which term the module is taught in.

Modules

Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits.

In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available.

Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code. For example, the module code HR100-4-FY means:

100

The department or school the module will be taught by.

In this example, the module would be taught by the Department of History.

The module number.

The UK academic level of the module.

A standard undergraduate course will comprise of level 4, 5 and 6 modules - increasing as you progress through the course.

A standard postgraduate taught course will comprise of level 7 modules.

A postgraduate research degree is a level 8 qualification.

The term the module will be taught in.

AU: Autumn term
SP: Spring term
SU: Summer term
FY: Full year
AP: Autumn and Spring terms
PS: Spring and Summer terms
AS: Autumn and Summer terms

COMPONENT 01: CORE

Dissertation

(40 CREDITS)

Your dissertation is the culmination of your Masters programme, where you apply the knowledge gained on your course to produce a 10,000 word independent piece of work. You generate an original idea, analyse literature and current knowledge and produce a coherent argument that shows your ability to relate theory to practice. Your dissertation will help you develop vital skills for the workplace, as well as the ability to analyse real problems through an academic lens. You're assigned a supervisor for the duration of your project.

View Dissertation on our Module Directory

COMPONENT 02: COMPULSORY

Computational Market Microstructure for FinTech and the Digital Economy

(20 CREDITS)

Equip yourself with principles of allocation and mechanism design from an operational perspective. Auction design and market microstructure of the stock market, liquidity provision in electronic financial markets such as dark pools, and capital adequacy of centralized clearing platforms are some of the specific applications that will be studied in the first part of this module. During the second part, you will be introduced to complexity economics of self-organisation, network modules, and strategic proteanism. Finally, you'll use network models to study economic interactions.

View Computational Market Microstructure for FinTech and the Digital Economy on our Module Directory

COMPONENT 03: CORE

An Approachable Introduction to Programming

(20 CREDITS)

This module will help you develop your coding skills, and assumes you have no prior coding skills. The language used will be ‘Python’, which is well known as an introductory programming language, with the ability to learn starting with a simple single line of code approach. As your coding skills develop, you will be able to review and debug simple code, as a route to developing your own code, through the assembling of coding blocks. You will have the opportunity to experience code relevant to your own course, and to develop code that is useful within your degree context.

View An Approachable Introduction to Programming on our Module Directory

COMPONENT 04: CORE

Big Data in Finance

(20 CREDITS)

Big data - where datasets are so large they cannot be processed using traditional techniques – is useful to financial organisations. This module explores how to analyse big data and covers areas such as predictive analytics, risk modelling and corporate finance. You also learn about the application of data analytics in high frequency finance, fraud and personal finance.

View Big Data in Finance on our Module Directory

COMPONENT 05: COMPULSORY

Financial Technology and Innovation (Fintech)

(20 CREDITS)

Financial technology (FinTech) is rapidly changing the financial services industries. The module provides an introduction to FinTech by analysing its impact on major banking and financial activities. Specifically, the module illustrates the effect of FinTech on lending activities (P2P lending, crowdfunding) and credit evaluation tools (big data, machine learning and artificial intelligence tools), investment activities (trading and robo-advising), payments (crypto currencies and new payment tools), insurance (InsureTech). In final, the module analyses the topic of ethics and regulation of FinTech.

View Financial Technology and Innovation (Fintech) on our Module Directory

COMPONENT 06: COMPULSORY

Data Analysis: Cross Sectional, Panel and Qualitative Data Methods

(20 CREDITS)

This module provides you with an understanding of non-time-series data analytic approaches in finance. It covers methods for cross-sectional, panel and qualitative analysis and their applications whereby all topics are illustrated with relevant examples. Cross-sectional data are organised over individual groups (eg households, firms or countries) and have no time dimension. They may include discontinuous data (eg binary), qualitative or categorical data and are essentially non-numerical. Examples include: survey responses, textual analysis of social media or interviews. Panel data or longitudinal data are multi-dimensional data streams involving measurements over time. As such, panel data consists of researcher's observations of numerous phenomena that were collected over several time periods for the same group of units or entities. For example, a panel data set may be one that follows a given sample of individuals over time and records observations or information on each individual in the sample. The nature and advantages of panel data has led to numerous applications in finance and economics research.

View Data Analysis: Cross Sectional, Panel and Qualitative Data Methods on our Module Directory

COMPONENT 07: OPTIONAL

(40 CREDITS)

COMPONENT 08: COMPULSORY

Postgraduate Mathematics Preparation

(0 CREDITS)

This module covers topics in mathematics that are required in Masters-level finance courses at the University of Essex. You focus on the basics of linear algebra, differential calculus including optimisation and dynamics.

View Postgraduate Mathematics Preparation on our Module Directory

Teaching

Tailor the content of your course to more closely fit your interests and aspirations
Optional modules will enable you to gain in-depth specialisation and understanding across several banking and finance topics
Courses focus on practical applications and links with industry
Our postgraduate students can attend conferences and seminars on campus and beyond

Assessment

Regular assessment is by coursework, presentations, case studies, group work, tests and examinations

Dissertation

You will undertake an individually supervised research project that involves the in-depth study of a specific finance problem or issue

Fees and funding

Home/UK fee

£14,300

International fee

£22,400

Masters fees and funding information

Research (e.g. PhD) fees and funding information

What's next

We hold Open Days for all our applicants throughout the year. Our Colchester Campus events are a great way to find out more about studying at Essex, and give you the chance to:

tour our campus and accommodation
find out answers to your questions about our courses, student finance, graduate employability, student support and more
meet our students and staff

If the dates of our organised events aren’t suitable for you, feel free to get in touch by emailing tours@essex.ac.uk and we’ll arrange an individual campus tour for you.

2024 Open Days (Colchester Campus)

Saturday, January 20, 2024

Find out more

You can apply for this postgraduate course online. Before you apply, please check our information about necessary documents that we’ll ask you to provide as part of your application.

We aim to respond to applications within two weeks. If we are able to offer you a place, you will be contacted via email.

For information on our deadline to apply for this course, please see our ‘how to apply’ information.

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If you live too far away to come to Essex (or have a busy lifestyle), no problem. Our 360 degree virtual tour allows you to explore the Colchester Campus from the comfort of your home. Check out our accommodation options, facilities and social spaces.

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At Essex we pride ourselves on being a welcoming and inclusive student community. We offer a wide range of support to individuals and groups of student members who may have specific requirements, interests or responsibilities.

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