Applied Statistics for Finance and Economics (L1064)

15 credits, Level 5

Spring teaching

On this module, you'll be introduced to the empirical use of various statistical methods commonly used in the social sciences. You'll learn about best statistical practice through using, exploring and analysing real-world data.

Topics covered include:

measuring skewness and kurtosis in empirical data
undertaking tests for normality, goodness-of-fit, and non-parametric testing principles
ANOVA and experimental design
OLS and maximum likelihood estimation in the bivariate regression model
the linear probability and logistic models
detrending, deseasonalising, and forecasting using time series data
basic concepts in sample survey methods.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2026/27. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.

We’ll make sure to let you know of any material changes to modules at the earliest opportunity.

Courses

This module is offered on the following courses: