MSc Financial Data Analytics

If you want to explore how big data streams influence financial and statistical modelling on a daily basis and gain an understanding on how data from social networks and search engine analytics can change how an investment matures, MSc Finance and Data Analytics is for you.

The finance and investments sector needs practitioners who have a fundamental understanding of financial markets who can also apply statistical modelling in the context of the growing, and increasingly complex, data available to financial firms.

This course is perfect for those with an interest in big data and data analysis who want to work in specialist roles within the finance and investments sector.

MSc Finance and Data Analytics prepares you for the financial services industry by equipping you with the quantitative, statistical and technical skills needed in a world powered by big data.

You master areas including:

big data

portfolio analysis

financial modelling

data analytics

trading global markets

The University of Essex is uniquely placed to offer a Masters in Finance and Data Analytics. The University is home to the ESRC Business and Local Government Data Research Centre, which helps local authorities and businesses across the UK to leverage data more effectively, as well as the UK Data Service who provide access to quality economic and social data to organisations across the UK.

Studying MSc Finance and Data Analytics at Essex Business School, where this course is taught, means that you have access to some of the most unique financial research in the UK, supported by these two large big data centres of excellence.

Our virtual trading floor ensures you gain practical experience of using industry-standard terminals and real-world business information.

A 2:2 degree, or international equivalent, in one of the following subjects (with no module requirements):

Actuarial Science

Computer Science

Economics

Engineering

Finance

Mathematics

Natural Science

Data Analysis

Statistics

We will also consider applicants with any other 2:2 degree, or international equivalent, with a pass in any ONE of the following modules:

Banking (Financial Intermediaries, Financial Markets)

Economics (e.g. Macroeconomics, Microeconomics)

Finance and/or Investments (e.g. Asset Pricing, Behavioural Finance, Corporate Finance, Derivatives, Options and Futures, Portfolio Analysis, Risk Management, Securities)

Quantitative methods (e.g. Data Analytics, Econometrics, Financial Modelling, Statistics)

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, dependent on the content of their undergraduate degree and at least one year of relevant work experience in the field of economics, finance, banking, investment, financial engineering, risk management entrepreneurship, accounting or quantitative analysis (please include your CV with your application).