2020 applicants
Postgraduate Course

MSc Financial Technology

(Economics)

MSc Financial Technology

Overview

The details
Financial Technology (Economics)
October 2020
Full-time
1 year
Colchester Campus
Economics

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

From mobile banking to cryptocurrencies, from roboadvisors to copy trading, the financial services sector is transforming rapidly. Are you looking for a career in this emerging industry of Financial Technology? Here at Essex we provide an interdisciplinary programme covering a range of crucial skills required for FinTech, making the most of our research and teaching strengths. You will learn about microeconomics and big data, software development and the underpinnings of the financial system. You will benefit from our proximity to London as well as our connections with employers. You will mingle not only with students specialising in the economics of FinTech, but also those specialising on the computer science side as well as business strategy.

The MSc Financial Technology (Economics) is designed for students seeking a career in the finance industry, in particular the financial technology sector. This course will equip you with both theoretical and technical skills that are specific for the finance industry. It will also equip you with transferable skills such as the ability to develop and present an argument, and the ability to work independently and in groups.

Why we're great.
  • We are one of Europe's leading economics departments – learn with other research stars to break new ground
  • We connect our research with our teaching so what you learn about is relevant today
  • We provide access to extensive quantitative analysis software and a large number of economics databases, across our economics, business and computer science departments
THE Awards 2018 - Winner University of the Year

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

For a full list of research interests, see our Department’s staff pages.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:

Your future

After completing your masters, you may wish to extend your knowledge with a research degree –many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

Our recent MSc Economics graduates have gone on to work for a range of high-profile organisations:

  • The Ministry of Finance
  • HM Treasury
  • The Work Foundation
  • Fitch Ratings
  • Schroders Investment Management

More generally, our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We work with the University’s Careers Services to help you find out about further work experience, internships, placements, and voluntary opportunities.

Entry requirements

UK entry requirements

A minimum of a 2.2 (or equivalent) degree in Economics or a related discipline such as Maths, Statistics, Engineering, Finance, Computer Science, Physics or any other degree with a strong maths component. The degree should contain some economics components including Macroeconomics, Microeconomics or Econometrics.

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

IELTS 6.0 overall with a minimum component score of 5.5

If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.

Structure

Example structure

Most of our courses combine compulsory and optional modules, giving you freedom to pursue your own interests. All of the modules listed below provide an example of what is on offer from the current academic year. Our Programme Specification provides further details of the course structure for the current academic year.

Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

The example structure below is representative of this course if taken full-time. If you choose to study part-time, the modules will be split across 2 years.

Economics of Financial Markets

Study the concepts of risk and return in equity markets, both in the context of asset pricing, and in the management of equity portfolios. You will start by focusing on the analysis of the stylised facts of asset returns, and will then review the theoretical foundations of modern finance, covering expected utility theory and risk aversion.

View Economics of Financial Markets on our Module Directory

Computational Market Microstructure for FinTech and the Digital Economy

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

Dissertation

What interests you? Undertake a research project of your choosing, studying a specific economic issue or set of problems in depth, with supervision from our world-leading academic staff. Gain experience of original and independent work, making use of and building on skills that you have acquired during your Masters.

View Dissertation on our Module Directory

Data Analytics in Finance

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 Data Analytics in Finance on our Module Directory

Introduction to Programming in Python

The aim of this module is to provide an introduction to computer programming for students with little or no previous experience. The Python language is used in the Linux environment, and students are given a comprehensive introduction to both during the module. The emphasis is on developing the practical skills necessary to write effective programs, with examples taken principally from the realm of data processing and analysis. You will learn how to manipulate and analyse data, graph them and fit models to them. Teaching takes place in workshop-style sessions in a software laboratory, so you can try things out as soon as you learn about them.

View Introduction to Programming in Python on our Module Directory

Behavioural Economics I: Individual Decision Making (optional)

How do individuals make decisions? When does classic economic theory not predict empirically observed behaviour? And how do you then use behavioural economics to reconcile your empirical findings with theoretical models? Learn about empirical and theoretical research in behavioural economics that can be used to explain individual decision making.

View Behavioural Economics I: Individual Decision Making (optional) on our Module Directory

Applications of Data Analysis (optional)

What are the issues regarding different types of panel datasets? Or problems with survey methodology? Understand longitudinal data analysis by using micro-econometric techniques and critically examine survey methodology issues, like response rate and sampling frames. Apply panel data methods to study labour markets, focusing on marriage, unemployment and wages.

View Applications of Data Analysis (optional) on our Module Directory

Corporate Finance (optional)

This module offers you a standard introduction of the field of corporate finance at postgraduate level. You consider the classical areas of Modigliani-Miller irrelevance, Taxes and capital structure, Trade-off theory and Pecking order theory of capital structure, before exploring the more modern areas, which are essentially based on contract theory.

View Corporate Finance (optional) on our Module Directory

Derivative Securities (optional)

Master the pricing of financial derivatives and their use for hedging financial risks. You study the basics of futures and options, analyse the Black-Scholes and binomial option pricing models, and consider various numerical techniques for pricing financial derivatives. Futures and options are then utilised in the context of hedging financial risks, and you are introduced to the concept of volatility trading and the treatment of volatility as an asset class.

View Derivative Securities (optional) on our Module Directory

Portfolio Management (optional)

Understand the process of portfolio management. You cover the main concepts such as efficient diversification, managing risk exposures, and the valuation of financial assets that are at the core of managing investment portfolios, and pay special attention to the practicalities of the implementation of these concepts.

View Portfolio Management (optional) on our Module Directory

Financial Modelling (optional)

Consider the use of modern econometric techniques in the analysis of financial time series. You cover multivariate models for stationary and non-stationary processes, such as Vector Autoregressive models, consider appropriate models for volatility, and study Markov processes and simulation methods used for financial modelling.

View Financial Modelling (optional) on our Module Directory

Risk Management (optional)

The recent financial crisis and credit crunch have demonstrated that risk management was too narrowly defined. In this course you examine the Value at Risk (VAR) measure of financial risk developed in the 1990s, before discussing the new post-crisis Regulatory environment.

View Risk Management (optional) on our Module Directory

Data Analysis: Cross Sectional, Panel and Qualitative Data Methods (optional)
Modern Banking (optional)

Explore the basics of the structure and environment of banking, and selected aspects of the applied economics of the modern banking firm. You study structure-conduct-performance, competition, bank efficiency, regulation, international banking and bank failures and crises.

View Modern Banking (optional) on our Module Directory

Bank Strategy and Risk (optional)

Analyse the key strategic developments in banking and the main aspects of risk management in modern banks. You are introduced to the concept of shareholder value in banking, the main banking strategies to create shareholder value, the key risks in banking, and the most important tools required to manage bank risks.

View Bank Strategy and Risk (optional) on our Module Directory

Introduction to Financial Market Analysis (optional)

The module introduces students to financial markets as well as providing a detailed introduction to the quantitative methods that are a pre-requisite to other CCFEA modules. Students will be introduced to financial markets such as equities, bonds, interest rates, forwards, futures and foreign exchange. Applications of calculus and statistical methods to finance are also presented.

View Introduction to Financial Market Analysis (optional) on our Module Directory

Computational Models in Economics and Finance (optional)

The modules introduces students to computational thinking in economics and finance by looking at different relevant models and theories, such as agent-based modelling and game theory. Students will also be introduced to various applications, such as financial forecasting, automated bargaining and mechanism design.

View Computational Models in Economics and Finance (optional) on our Module Directory

Big-Data for Computational Finance (optional)

This module is a mix of theory and practice with big data cases in finance. Algorithmic and data science theories will be introduced and followed by a thorough introduction of data-driven algorithms for structures and unstructured data. Modern machine learning and data mining algorithms will be introduced with particular case studies on financial industry.

View Big-Data for Computational Finance (optional) on our Module Directory

Teaching

  • Core components can be combined with optional modules to enable you to gain either in-depth specialisation or a breadth of understanding across several topics
  • Our postgraduates are encouraged to attend conferences and seminars

Assessment

  • Each module is assessed with a final examination and a coursework component
  • Coursework is taken in the form of a term paper or a midterm test

Dissertation

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

Fees and funding

Home/EU fee

£11,820

International fee

£18,460

Fees will increase for each academic year of study.

What's next

Open Days

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.

Applying

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.

Colchester Campus

Visit Colchester Campus

Home to 15,000 students from more than 130 countries, our Colchester Campus is the largest of our three sites, making us one of the most internationally diverse campuses on the planet - we like to think of ourselves as the world in one place.

The Campus is set within 200 acres of beautiful parkland, located two miles from the historic town centre of Colchester – England's oldest recorded town. Our Colchester Campus is also easily reached from London and Stansted Airport in under one hour.

 

Virtual tours

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.

Exhibitions

Our staff travel the world to speak to people about the courses on offer at Essex. Take a look at our list of exhibition dates to see if we’ll be near you in the future.

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.


Find out more

The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include, but are not limited to: strikes, other industrial action, staff illness, severe weather, fire, civil commotion, riot, invasion, terrorist attack or threat of terrorist attack (whether declared or not), natural disaster, restrictions imposed by government or public authorities, epidemic or pandemic disease, failure of public utilities or transport systems or the withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.

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