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Course overview
Our MSc Finance and Investment programme focuses on how financial markets and capital markets function and the role of different players, such as investors, firms and institutions, in the markets. Our programme is research-led, up-to-date, and quite rigorous in nature.
Our programme will enhance your global career opportunities. Our hands-on approach is data-driven. We have access to a number of databases on various topics. For instance, through real-time access to our Bloomberg Terminals, you will learn to utilise data to analyse financial instruments that will underpin your investment decisions. You will also gain a broad understanding of the sector through modules that cover topics including corporate finance, capital market analysis, and security valuation.
This course is recognised by the
Furthermore, as an affiliated university, we are closely connected to professional practice. You will have the option to take industry-recognised digital qualifications by Microsoft and SAP alongside your course, which will
An advanced finance and investment degree from Nottingham University Business School will help to bring your potential to the attention of top local as well as global employers.
Careers
Expert staff can help you research career options and job vacancies, build your CV or resume, develop your interview skills and meet employers.
Each year 1,100 employers advertise graduate jobs and internships through our online vacancy service. We host regular careers fairs, including specialist fairs for different sectors.
International students who complete an eligible degree programme in the UK on a student visa can apply to stay and work in the UK after their course under the Graduate immigration route. Eligible courses at the University of Nottingham include bachelors, masters and research degrees, and PGCE courses.
2:1 (international equivalent) in finance, economics, business studies, accounting or financial engineering/mathematics. Outstanding degrees in any quantitative discipline (for example, natural sciences, computer science) also considered on a case by case basis. Applicants must have a strong quantitative/mathematics background and in their final two years of study have achieved a 2:1 (60%) in a minimum of two modules covering at least two of the following subjects: mathematics, statistics, quantitative methods, quantitative finance specialisms, and econometrics.
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