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Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Finance / Accounting (General)

Course type

Taught

Course Summary

Our MSc in Finance provides a springboard to a career in international business or finance, as well as ideal preparation for further research. The MSc in Finance is recognised by the Chartered Financial Analyst Institute. Our curriculum is closely tied to professional practice and can help you prepare for CFA exams. Our MSc in Finance will provide you with the essential postgraduate skills you need to follow a career in applied or quantitative finance. It will act as a stepping stone to a financial position in, for example, financial analysis, investment management or corporate finance. The Masters is also an ideal basis for progression to a PhD. Many of our students have gone on to forge careers in academia or central banks. Others have followed careers as investment analysts, financial advisers, and consultants in commercial banks, stockbrokers and other financial institutions.

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP

Modules

This module aims to equip students with intermediate level knowledge of the core techniques employed in modern econometric analysis so that they are able: to follow the techniques and arguments used in a range of empirical papers in Economics and Finance; and, to undertake a successful empirical dissertation.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£9,370

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£23,450

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Applicants should have at least a 2:1 degree from a UK university in economics or a related subject. We also consider mathematics, computing, engineering or the sciences. However, applicants will need to have a strong background in elements of mathematical training, including statistics or econometrics.