Tuition Fee
USD 26,687
Per course
Start Date
Medium of studying
On campus
Duration
12 months
Details
Program Details
Degree
Masters
Major
Finance | Financial Planning | Risk Management
Area of study
Business and Administration
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 26,687
Intakes
| Program start date | Application deadline |
| 2023-10-06 | - |
| 2024-01-15 | - |
About Program
Program Overview
Are you looking for a career in the emerging industry of Financial Technology? Electronic stock markets, mobile banking, cryptocurrencies, robo advisors, copy trading and peer-peer platforms are transforming the financial services sector. The MSc Financial Technology (Economics) takes a multi-disciplinary perspective that combines economics, computer science and business theory to explore the theory and methods of this growth area. This course allows a deeper dive into the economics of market microstructure for design of trading strategies, managing operational risks and market design for electronic markets such as peer-to-peer platforms. Our world leading Economics professors provide research led teaching and project supervision based on our own research strengths; including high frequency trading in electronic order books, agent-based modelling, and the economics of data science.
- You will learn about microeconomics and big data, software development and the underpinnings of the financial system. You will receive direct teaching inputs or supervision on projects from leading researchers in the Department of Economics.
- You will benefit from research-led teaching, including staff research-based software solutions included in the curriculum.
- You will benefit from our proximity to London as well as our connections with employers, some of whom are successful Essex alumni, who contribute to expert lectures.
- You will mingle not only with students specialising in the economics of FinTech, but also those specialising on the computer science and business strategy sides.
- Hands on lab sessions accompany lectures with high frequency finance software based on real time rebuilds for the London Stock Exchange Electronic Trading System (SETS).
- We are ranked 18th in the UK for Economics in the QS World University Rankings by Subject (2023)
- We are 4th in UK for research power in economics and econometrics (Times Higher Education research power measure, Research Excellence Framework 2021)
- We provide access to extensive quantitative analysis software and a large number of economics databases, across our Economics, Business and Computer Science Departments.
Our expert staff
Professor Sheri Markose received her PhD in Economics from the LSE and has a longstanding reputation for pioneering interdisciplinary Computational Finance. She was the founder director of the Essex Centre for Computational Finance and Economic Agents (2001 - 2009). Sheri is doing foundational research on blockchain distributed ledgers and serves as an Associate Editor of Frontiers Computational Intelligence in Robotics and AI. Professor Simon Weidenholzer joined Essex after both receiving his PhD in Economics at the University of Vienna and working as an Assistant Professor in the same department. His work covers microeconomics, game theory, evolutionary game theory, behavioural economics, social networks and industrial organisation. His most recent work involves theoretical and laboratory studies of crowdfunding, copy trading, and robo-advisors. Dr. Christoph Siemroth received his PhD in Economics from the University of Mannheim. His fields of expertise include behavioural and experimental economics, financial economics, and organizational economics. His recent work includes study of the informational content in asset prices, prediction markets, crowdfunding, and optimal budgeting. Dr. Ahrash Dianat completed his PhD in Economics at George Mason University (USA). Ahrash then took a post-doctoral post at the California Institute of Technology (“Caltech”) before joining the University of Essex. Ahrash specialises in experimental economics, behavioural economics, and market design. His work has included studies of corporate prediction markets. Dr. David Zentler-Munro comes to Essex from his PhD in Economics at UCL and a post as Senior Policy Advisor at the UK Department of the Treasury. His work focuses on search models and labour markets. His recent work uses machine learning to study labour market behaviour.Specialist facilities
Students in the Department of Economics have access to quantitative analysis software, such as Microsoft Office, MatLab, Stata, Python, R, and Eviews which can be accessed remotely and from all university computer labs and are staples of the financial industry. You will acquire practical and “hands-on” experience in the programmes as part of the course. Computer labs on campus are open 24/7 and run on Windows 10 or are dual boot with Linux. Your lectures benefit from Listen Again facilities to aid your study, and the department provides extra support to those who need it. You will be studying on our Colchester Campus with ample access to the School of Computer Science and Electronic Engineering and Essex Business School . You'll also benefit from fantastic University facilities located on campus, including the Albert Sloman Library and 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. You will also benefit from 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 on campus.Your future
The MSc Financial Technology (Economics) is designed for students seeking a career in the finance industry, in particular the financial technology sector. Recent graduates include those who work as:- Fund Managers (Jupiter Fund)
- Data Scientists (Lloyds Bank)
- Risk Managers (HSBC)
- The Bank of England
- Coca-Cola
- HSBC
- KPMG
- PwC
- Morgan Stanley
See More
