This subject provides the student with an advanced understanding and mastery of data mining and analytics in the national security, policing and business intelligence contexts. Students will develop a deep understanding of data, and how to interpret patterns in it using various analytical methodologies. Students will also be introduced to and apply a range of prediction technologies and competitive analytical techniques increasingly being used by intelligence officers and investigators. Students will apply these skills to a range of examples including but not limited to: fraud, counter-terrorism, money laundering and other financial crimes. Intelligence practitioners, investigators and managers seeking to develop data mining and analytics capabilities in their organisations will benefit from this subject.
HD/FL
One session
Australian Graduate School of Policing and Security
The following table summarises the assessment tasks for the online offering of JST495 in Session 2 2019. 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: October 2020. The University reserves the right to vary the information at any time without notice.