MSc Financial Econometrics - Financial Econometrics Degree.
Finance and Econometrics Pathway Undertake research in one of our Finance related specialisms, depending on your topic and supervisor. We value our doctoral researchers and aim to attract students from across the globe who are independent thinkers, restless to learn more and challenge themselves.
Academic staff involved within these programmes investigate unemployment, debt and financial instability, focus on how a country’s economic performance is affected by its institutions, use state-of-the-art econometrics to analyse issues with crucial business or policy implications, and address economic issues related to European integrations.
Want to study Financial Econometrics? This is a track within our MSc Econometrics programme. Find out more about this track on our Econometrics programme webpages.
This Masters will give you the essential postgraduate skills you need to follow a career in applied or quantitative finance, or to pursue further research. Employers will value your knowledge of econometric techniques and your ability to analyse financial markets. The MSc in Finance and Econometrics is also excellent preparation for a PhD.
He holds MSc Finance and Economics degree from the University of East Anglia. He has started his PhD studies at UEA in September 2017 and works in the crossroads of financial econometrics and machine learning applied to financial risk management and time series modelling. Wenxue Wang is currently a PhD student in the School of Economics at UEA.
The MSc in Financial Economics opens up career options as an economic or financial analyst in business, government or a major international organisation. The course also prepares you for a PhD in Economics or Finance. Download a prospectus (PDF, 1.2MB).
The upgrade to the PhD will be conditional on passing the compulsory modules. Part-time students will be expected to pass these modules during their first two years. Course Outlines Econometrics. ARMA and VAR processes; Kalman filter and Markov switching processes; Financial econometrics topics; Models for discrete and limited variables; Panel.