Business analytics
Harnessing the power of data
The Discipline of Business Analytics engages in all aspects of data analysis, making forecasts and building models to enable better management decisions – vital assets to every business area.
Business analytics requires a rigorous approach to model formulation and estimation as well as the skills to analyses the outputs of these models. Business Analytics scholars regularly publish in leading international journals. Particular fields of interest include:
- big data analytics
- applied econometrics
- electricity markets
- financial econometrics and quantitative risk forecasting
- Bayesian methods
- forecasting, sensitivity analysis
- micro-econometrics, multivariate statistical methods
- panel data methods and models
- scheduling problems
- statistical machine learning
- stochastic non-life insurance and actuarial problems
- supply chains
- testing and modelling structural change
- time series and forecasting.
