To be competitive in our modern financial industry, it is not enough for a scientist to know how to write software, nor is it enough that one can mathematically analyse markets based on simplifying assumption by ignoring the computation required.
Our MSc Financial Technology (Computer Science) course gives you an understanding of the specifics and the intricacies of financial and economics markets, the ability to apply advanced computing methods, and the ability to design and program solutions that successfully exploit the synergy between finance, economics, and computation.
Our course covers areas including:
Our course will give you both the theoretical and technical skills that are specific to the finance industry, as well as transferable skills such as the ability to develop and present an argument, and the ability to work independently and in groups.
The MSc Financial Technology suite of courses 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 our MSc Financial Technology (Computer Science) course, there is also the option of MSc Financial Technology (Finance) and MSc Financial Technology (Economics), giving you the chance to specialise in your preferred area of study.
You work with colleagues from our Centre for Computational Finance and Economic Agents (CCFEA), which is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation. Postgraduate study within CCFEA gives you rigorous training in the principles of quantitative finance and microeconomics along with computational skills.
This course is taught in collaboration with the Centre for Computational Finance and Economic Agents (CCFEA) within the School of Computer Science and Electronic Engineering, the Essex Finance Centre (EFiC) within Essex Business School, and the Department of Economics, all of which have an international reputation.
We bring together experts with both academic and industrial expertise in the financial and IT sectors. Our staff are currently researching:
Key academic staff for this course include:
You acquire practical and hands-on experience in our labs by using:
Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
Our MSc Financial Technology (Computer Science) course equips you with the skillset at the intersection of computer science, economics and finance. You gain expertise that is in high demand in the finance industry in the UK, and become competitive in one of the primary recruiting sectors in the country and beyond.
With a skillset that combines both technical and analytical know-how from internationally known hubs within our University, our graduates are able to find employment in very competitive financial institutions.
We also work with the university's Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.
We also offer a range of postgraduate research degrees (such as a PhD) in areas of computer science and electronic engineering, and computational finance.
We will consider applicants with any other 2:2 degree or above which includes:
At least one Maths or Econometrics module, such as:
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 contact our Graduate Admissions team at pgquery@essex.ac.uk to request the entry requirements for this country.
If English is not your first language, we require 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.
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.
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 and in line with your contract with us. However, if we need to make material changes, for example due to significant disruption, we'll let our applicants and students know as soon as possible.
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 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:
HR | 100 | 4 | FY |
---|---|---|---|
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.
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COMPONENT 01: CORE
This dissertation is worth 90% and is submitted to FASer and the school in week 48. The presentation is worth 10% and takes place in weeks 49/50.
COMPONENT 02: COMPULSORY
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: COMPULSORY
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
COMPONENT 04: COMPULSORY
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.
COMPONENT 05: COMPULSORY
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.
COMPONENT 06: COMPULSORY
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.
£12,125
£23,500
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:
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.
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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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 University would inform and engage with you if your course was to be discontinued, and would provide you with options, where appropriate, in line with our Compensation and Refund Policy.
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