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MSc Finance and Data Analytics

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Finance / Accounting (General)

Course type

Taught

Course Summary

If you want to explore how big data streams influence financial and statistical modelling daily 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
  • empirical financial methods
  • data analytics
  • trading global markets

The University of Essex is uniquely placed to offer a master’s 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.

Your future

MSc Finance and Data Analytics provides you with the foundations for a rewarding career in finance and business analytics, equipping you with the skills to lead at a global level. 90% of University of Essex’s postgraduate graduates are in employment or further study (Graduate Outcomes 2021).

Our graduates can analyse complex data and use this to make effective business decisions. Many works for global employers and dynamic SMEs in financial analysis, management, public administration and accountancy, such as:

  • KPMG
  • Grant Thornton LLP
  • Inter-American Development Bank
  • European Central Bank
  • HP, hardware company
  • Groupon, a global e-commerce marketplace
  • Capital Markets Intelligence, a financial publisher
  • Credit Data Research, a business funder

Our Student Support team work closely with the University’s Employability and Careers service to help you with careers information and advice and CV support. They will help you find work experience, internships, placements, and voluntary opportunities and provide access to employer talks on campus. We also work closely with the Essex Start-ups team to support our budding entrepreneurs get their business ideas off the ground.

Modules

Big data - where datasets are so large they cannot be processed using traditional techniques ? is useful to financial organisations. This module explores how to analyse big data and covers areas such as predictive analytics, risk modelling and corporate finance. You also learn about the application of data analytics in high frequency finance, fraud and personal finance.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£14,300

International fees
Course fees for EU and international students

For this course (per year)

£22,400

Entry requirements

A 2:2 degree, or international equivalent, in one of the following subjects (with no module requirements): Computer Science; Economics; Engineering; Finance; Mathematics; Natural Science; Data Analysis; Statistics or a 2:2 degree, or international equivalent, in any subject with a pass in any one of the following modules: Banking (Financial intermediaries, Financial markets); Economics (e.g. microeconomics, macroeconomics); Finance and/or Investments (e.g. corporate finance, behavioural finance, options and futures, derivatives, risk management, Portfolio analysis, asset pricing, securities, derivatives); Quantitative methods (e.g. statistics, econometrics, financial modelling, data analytics).

University information

The University of Essex prides itself on being at the forefront of research innovation and global change. It is a learning institution that fosters a culture of boldness and curiosity, where creativity in academia is encouraged. At Essex, students are taught by world-leading academics in a supportive and research-intensive environment. Over the duration of its sixty-year history, Essex has met and exceeded expectations for success, winning...more