BUSN5002 Fundamentals of Business Analytics

6 points
(see Timetable)
Semester 1UWA (Perth)Face to face
Semester 2UWA (Perth)Face to face
Business leaders equipped with the analytical skills needed to extract meaning from complex data sets, and translate this meaning into actionable insights, are highly sought after in the global workplace. To inform strategic decisions, and remain competitive, businesses must leverage the insights contained in the large volumes of data produced both within the business and in the broader business environment. One of the benefits of data analytics is the ability to collate and fuse multiple streams of secondary data, many passively collected, in order to better understand business processes, customer demands, relationships between multiple agents.

This foundation unit provides the fundamental skills needed to progress in data analytics. Students are able to identify business opportunities where quantitative analysis is beneficial, gain practical experience in the use of different sophisticated analytical tools and techniques (such as R, Python, STATA, SAS, Tableau), identify appropriate analytical methods (such as predictive modelling, simulation, optimisation, clustering and pattern recognition) for business situations, communicate analytical findings in a non-technical way, and translate these findings into business actions.

Topics include data integrity, data visualisation, predictive modelling, classification (logistic regression, ANN, random forest), clustering (k-means), forecasting, discrete event and generic simulation, and optimisation.
Students are able to (1) analyse situations and opportunities where complex quantitative analysis will contribute to business innovations and decisions; (2) identify appropriate analytical approaches to enhance business operations and opportunities in the broad areas of accounting and finance, economics, marketing, and management; (3) analyse large and complex data sets using sophisticated analytical tools and techniques; (4) communicate complex analytical ideas and findings in a meaningful and easily understood way for a broad business audience; and (5) integrate business analytics into multiple levels of decision making (strategic, tactical, operational).
Indicative assessments in this unit are as follows: (1) quizzes; (2) assignments; and (3) examination. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Dr Brett Smith
Unit rules
Enrollment in 42270 Graduate Certificate in Business Analytics or 42630 Master of Business Analytics
Contact hours
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
Unit Outline
Semester 1-2020 [SEM-1-2020]
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available via the Booktopia Textbook Finder, which has the functionality to search by course code, course, ISBN and title, and may also be posted or available at the appropriate school's administrative offices. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.