FIN 9762
Introduction to Quantitative · 3 credits · Fall 2026
Requirements
Prerequisite: Open only to students in the non-executive MS in Finance and MS in Financial Risk Management Programs
About this course
This course introduces quantitative tools used extensively in finance. Topics covered include random variables, probability concepts, probability distributions typical for financial data, expected value, variance, standard deviation, skewness, kurtosis and quantiles of a distribution, covariance and correlation, hypothesis testing, and basic regression analysis, with an emphasis on applications in investment analysis and portfolio and risk management. The course is delivered with a mixture of lectures, case discussions, and empirical exercises in which students apply the concepts discussed in class to real world financial problems.Prerequisites: Departmental permission required.
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