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Financial Data Science @CFEM

FDS@CFEM is an immersion semester in Financial Data Science. It is currently offered as a fourth-semester option to our MFE students and results in the Certificate in Financial Data Science.  Students who are passionate about practical applications of large-scale data analytics, big data technologies, and predictive modeling will have a unique opportunity to deepen their knowledge in these subjects through our carefully–designed curriculum, created by world-renowned faculty and practitioners.  From mastering the theory of machine learning to implementing big data technologies to solving real large-scale finance problems, FDS@CFEM will move students beyond traditional quantitative finance into the realm of true value creation through the use of analytics. Companies, from global banks, to hedge funds, to fintech start ups, are increasingly focusing on the best way to take advantage of machine learning applications.  Whether you are interested in trading or risk management, asset management or modeling, regulation or policy-making, FDS@CFEM gives you invaluable tools to become the financial engineer of the future.   

FDS@CFEM students take courses to deepen their technical knowledge in machine learning algorithms and big data technologies. These foundational courses are integrated with hands-on project work where students learn directly from practitioners working in the field of financial data science. 

FDS@CFEM Curriculum Outline

FDS@CFEM AT A GLANCE: INTEGRATED STUDY OF LARGE -SCALE ANALYTICS AND PRACTICAL APPLICATIONS.

To learn more about the CFEM student experience, click here.