More about African Institute of Financial Markets & Risk Management course at uct below :
African Institute of Financial Markets & Risk Management degree programs
MPhil specialising inMathematical Finance
This degree is aimed at students who want to pursue a career in investment or retail banking‚ insurance, asset management‚ risk management‚ or any area that requires a solid quantitative finance or financial engineering background.
The qualification combines training in advanced mathematical and computing skills with a solid understanding of financial markets and asset pricing theory.
Applicants must have an Honours (or four–year equivalent) degree from one of the Faculties of Science‚ Commerce or Engineering. Since this is a predominantly mathematical degree, applicants must have successfully completed one year of Mathematical Statistics and at least two years of Pure Mathematics‚ with exposure to multivariate calculus‚ real analysis and linear algebra, as the minimum mathematical admission requirement.
MCom in Risk Managementof Financial Markets
This degree is aimed at students who want to pursue a career in risk management in any area of the financial services sector.
The qualification is not restricted to students with a finance background. The primary objective of this degree is to equip students with the necessary methodological, practical and research skills for financial risk management. The technical skills courses cover mathematics, statistics, econometrics and computing. The coursework has been designed to demonstrate the application of technical skills in the modelling of complex financial and economic concepts, and to enhance the fundamental understanding of these.
The minimum admission requirement is:
An Engineering degree from any sub-discipline OR
An Honours (or four-year equivalent) degree from any discipline, with first-year Mathematics, Microeconomics, Macroeconomics and Statistics (NQF level 5).
MPhil in Data Scienceof Financial Technology
This innovative degree is aimed at students who want to pursue a career in financial technology and big data in any area of the financial industry. The programme is structured to accommodate part-time students, those working in the financial services sector wanting to acquire the requisite skills to adapt to a rapidly changing industry.
Students will master the technology behind modern financial innovation and big data analysis through in-depth training in machine learning, software design, and distributed ledger technologies. The degree combines technology with an understanding of financial markets and is designed to foster entrepreneurship. Students will collaborate closely with fintech start-ups and the financial services industry.
Applicants must have an Honours (or four–year equivalent) degree in any discipline with at least 65%, and with exposure to mathematics and computing at the undergraduate level. Applicants do not need an advanced background in statistics and computer science but must have an interest in coding.
(The MPhil in Data Science of Financial Technology is an interdisciplinary degree offered jointly by the Department of Statistical Sciences and AIFMRM. Students register in the Faculty of Science.)
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