Taught course

Finance and Data Analytics

Institution
University of Essex · Essex Business School
Qualifications
MSc

Entry requirements

A 2:2 degree, or international equivalent, in a numerate discipline such as: Economics, Finance, Mathematics, Statistics, Science or Engineering.

Your Degree should contain at least one module relating to Economics or Finance for example: Mathematics (calculus), quantitative finance/methods or Econometrics (probability, statistics). With a score of 50% in this module.

Months of entry

October

Course content

Big data streams influence financial and statistical modelling daily and on an ever-increasing scale. It’s not just financial data that impacts investment decisions, even data streams from social networks and search engine analytics can change how an investment matures.

The finance and investments industry 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.

Our MSc Finance and Data Analytics prepares you for the financial services sector 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
  • empirical financial methods
  • 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.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Course Enquiries
Email
pgadmit@essex.ac.uk