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Unit (2019)

Information on this page, including unit offerings, is from the 2019 academic year.

Business Analytics (ICT601)

School School of Engineering and Information Technology
Credit Points 3
Availability MURDOCH: S2-internal
Teaching Timetables Murdoch S2
Description Business analytics is a broad term that encompasses a number of skills, technologies and approaches to the analysis of business data for the purpose of supporting management decision-making. This unit will explore business analytics using a number of case studies, real life datasets and publicly available analytics tools. Students will apply the theories addressed in the unit to case studies in order to develop the technical skills required to develop a deeper understanding of business analytics.
Unit Learning Outcomes At the completion of this unit, you should be able to:
ULO1. Demonstrate an understanding of breadth of the potential uses of business analytics
ULO2. Explain and give examples of the use of business analytics in contemporary organisations
ULO3. Demonstrate proficiency in the use of a range of relevant analytics tools and techniques
ULO4. Identify appropriate analytics approaches for a given scenario
ULO5. Create, from a given dataset, a business analytics environment that will support decision making
ULO6. Critique business analytics outputs in terms of their relevance and effectiveness.
Timetabled Learning Activities Lectures/Workshops: 3 hours per week.
Unit Learning Experiences The foci of the learning experience in this unit are collaboration, exploration and problem solving. You will learn through workshops, group work and self-study. Many of the learning activities will involve real-life case studies relevant to one or more aspects of business analytics. Extensive use will be made of electronic resources including pre-recorded presentations, sample datasets, and multiple analytics tools and techniques.
Assessment Assessment in this unit will involve a mixture of group and individual tasks. The individual tasks will include an analytics tool assessment report where the student will select a tool or approach from a list, prepare a report on its applicability which will include a case study and present the report to the class. The group assessment will involve the group working on 8 problem-based case studies during the semester. The group will work on the problem and present their solution to the class for peer assessment. The final assessment item is an exam which will focus on the theoretical aspects of the unit.
Prerequisites Enrolment in a graduate-level Information Technology course. No specific unit prerequisites, but some familiarity with fundamentals of programming and database theory and practice would be helpful.
Appears in these Courses/Majors:
see individual structures for context
Graduate Certificate in Business Analytics (GradCertBusAnalyt) [New in 2019]
Graduate Diploma in Data Science (GradDipDataSci)
Graduate Diploma in Information Technology Management (GradDipITMan)
Master of Business Administration + Master of Information Technology (Data Science) (MBA)+(MIT) [New in 2019]
Master of Information Technology (MIT)
Internet Access RequirementsMurdoch units normally include an online component comprising materials, discussions, lecture recordings and assessment activities. All students, regardless of their location or mode of study, need to have access to and be able to use computing devices with browsing capability and a connection to the Internet via Broadband (Cable, ADSL or Mobile) or Wireless. The Internet connection should be readily available and allow large amounts of data to be streamed or downloaded (approximately 100MB per lecture recording). Students also need to be able to enter into online discussions and submit assignments online.

Contacts

Unit Coordinator
ICT601
Dr Danny Toohey
Senior Lecturer Information Technology

Murdoch Campus
t: 9360 2800
e: D.Toohey@murdoch.edu.au
o: 245.1.020 - Science and Computing, Murdoch Campus
Unit Contacts
ICT601

MURDOCH: S2-Internal
Dr Danny Toohey
Senior Lecturer Information Technology

Murdoch Campus
t: 9360 2800
e: D.Toohey@murdoch.edu.au
o: 245.1.020 - Science and Computing, Murdoch Campus
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