The advent of big data accelerated by the internet, e-commerce and social media provides opportunities for better business/organisational management and a better society through evidence-based decision-making and the provision of new services and products. This subject introduces the conceptual and practical issues in developing models to aid in decision making in marketing. Students will be introduced to the discovery and analysis of social networks, social trends, and relationships amongst industry factors using spreadsheets and data visualisation software. Students will also translate these analytic models into competitive strategy models by making policy for strategic and other decision recommendations.
School of Management and Marketing
Postgraduate students only.
Assumed knowledge for this subject is equivalent to that covered in MKT501 or MBA503 or MKT531 or MKT571 or STA401 or STA501.
The following table summarises the assessment tasks for the online offering of MKT563 in Session 1 2020. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).
The information contained in the CSU Handbook was accurate at the date of publication: May 2021. The University reserves the right to vary the information at any time without notice.