Business Analytics is a fast developing field with applications covering a wide range of industries. The field is ideally suited for those students who have an aptitude for mathematics and a keen interest in computer programming. Currently numerous job opportunities exist in various industry sectors, e.g. financial, industrial, communications, retail and mining. Business Analytics (sometimes called Data Science) refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of huge data bases in order to gain insight and drive business planning. Business Analytics software is usually based on mathematical algorithms that were developed to analyse large data sets (frequently referred to as Big Data). It allows users to analyse data from many different dimensions or angles, categorise these, summarise the identified relationships and use the data for predictive analytics. Business Analytics at the NWU covers a full range of topics in mainstream business analytics and its applications.
The integrated curriculum includes, for example, practical data mining, statistical time series analysis, survival analysis, statistical model building, neural networks, multi-criteria decision making, data management as well as other statistical and information technology subjects of relevance. These include practical analyses with state-of the-art software packages such as SAS Enterprise Miner, SAS Rapid Predictive Modeler, SAS Enterprise Guide, SAS Forecast Studio and R.
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Data Mining consists of the following subjects:
- Computer Science
- Information Technology
- Machine Learning
- Mathematics & Applied Mathematics
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