Graduate Certificate in Data Science for Quantitative Finance

This Graduate Certificate will introduce key topics relevant to data science and Artificial Intelligence (AI). Three courses will be offered under this programme:

• QF5204 Numerical Methods in Quantitative Finance¹
  This course is designed for graduate students in quantitative finance. It covers the programming methodology, techniques, data structures and algorithms used by practitioners in finance in the valuation of investment instruments. Numerical methods and implementations will be discussed.

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• DSA5205 Data Science in Quantitative Finance¹
  The course introduces selected topics of the state-of-the-art data science approaches (e.g. data mining, machine learning, and deep learning) as well as their applications in finance such as asset allocation and sentiment analysis. Industry professionals may be invited to come to share their understandings and outlooks of data science techniques and their applications in financial services.
  
  
• ST5202 Applied Regression Analysis
  Multiple regression, model diagnostics, remedial measures, variable selection techniques, non-least squares estimation, nonlinear models, one and two factor analysis of variance, analysis of covariance, linear model as special case of generalized linear model. This course is targeted at students who are interested in Statistics and are able to meet the pre-requisites.

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While these courses are existing courses which are offered to NUS graduate students, they can be taken as stand-alone courses by adult learners. This provides them the option of embarking on continuing education without having to commit to a full qualification upfront.

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¹SkillsFuture Singapore (SSG) funded Modular Course.

*With effect from August 2024, the Graduate Certificate in Data Science for Quantitative Finance will no longer be offered by the department.