The importance of mathematics background and student performance in a property degree

This paper investigates the relative importance of a wide range of academic and personal variables that may impact on student performance in a property degree. In particular, the importance of the property students' mathematics background and prior knowledge is assessed. Using a multi-year data set over 2006-2010, regression analysis (QLS) and quantile regression analysis are used to quantify the marginal learning effects of specific variables, including mathematics background. This issue is assessed at the overall property student performance level (Grade Point Average (GPA) on completion of property degree) and at the individual property subject level (3 valuation subjects). Mathematics background is seen to be an important determinant of success in the property degree; particularly in the more advanced valuation subjects requiring cashflow analysis. The property education implications are also highlighted.