The module will introduce students to the use of data analytics to aid decision making. Through the use of case studies from a variety of industries (e.g. aviation, health, sport), students will learn how different industries and organisations use analytics to gain insight from data in order to improve their operations. It also establishes the importance of data science for business intelligence, and describes opportunities and limitations in the use of analytics.
Upon completion of the module students will be able to interpret analytical results found in organisational reports, industry press, relevant literature and journal articles, and be able to make objective judgements on the quality, validity and usefulness of analytics performed by others.
Students will engage in data management and analysis, and familiarise themselves with existing platforms and software tools to develop core skills and expertise needed to process and visualise big data. The software package R will be used throughout the module and students will be able to perform analysis, including using machine learning, themselves.
The module will be delivered in an interactive style. Student participation and class exercises will allow students to gain a practical understanding of why data analytics has become an important tool in the business environment.