Taught course

Finance and Data Analytics

Institution
University of Essex · Essex Business School
Qualifications
MSc

Entry requirements

A 2:2 degree containing core modules relating to Mathematics (calculus), quantitative finance/methods or Econometrics (probability, statistics).

Months of entry

October

Course content

How does big data influence financial and statistical modelling? Will the future of finance be driven by our ability to apply quantitative, statistical and technical skills to analyse information?

The finance industry needs students who can understand statistical modelling in the context of the growing, and increasingly complex, data available to financial firms. Our MSc Finance and Data Analytics prepares you to work in the financial services organisations of the future, by equipping you with the quantitative, statistical and technical skills needed in a world powered by big data.

You master areas including:

  • portfolio analysis
  • empirical financial methods
  • data analytics
  • trading global markets.

The University of Essex is at the forefront of the UK’s big data network.

Essex Business School, where this course is taught, 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. Our School’s brand new virtual trading floor ensures you gain practical experience of using industry-standard terminals and real-world business information. You’re taught by academics who are actively involved in researching big data and advising businesses on how to make best use of it.

You may be eligible to apply for scholarships and discounts offered by the University of Essex. Postgraduate loans for Masters courses are now available from the Student Loans Company, worth up to £10,000, for students from the UK and EU.

Qualification and course duration

MSc

full time
12 months

Course contact details

Name
Course Enquiries
Email
pgadmit@essex.ac.uk