Master's modules.
Core papers from the Master of Business Analytics (FinTech specialisation) at the University of Auckland.
Analysis of Business Problems
Develops a managerial perspective on small and big data in problem identification, analysis and decision-making. Foundations of statistics and machine learning for business questions.
Business Analytics Tools
Skills in programming and business intelligence tooling for data wrangling, analytical thinking and problem-solving across a range of business settings.
Information Management
Modelling structured data, designing relational databases and OLAP systems, writing SQL and planning ETL flows to make data fit for analytical use.
Data Visualisation for Business
Transforming data for effective visualisation, building analytical narratives, and critiquing visual representations, with a side of unsupervised ML for unlabelled data.
Predictive Business Analytics
Common supervised ML techniques, linear and logistic regression, random forests, neural networks, applied to predict business events in R, with model validation throughout.
Decision Analytics
Decision-making under uncertainty, prescriptive analytics, optimisation and simulation methods to support structured business decisions.