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INFT12-223: Business Analytics and Big Data


Unprecedented volumes of data are being created on an almost daily basis and the amount of data we generate is expected to double every two years. This ‘Big Data’ has the power to change the way we work, live, and think. This subject is designed to provide students with the knowledge and skills to analyse Big Data in a variety of business contexts. Specifically, mathematical and practical applications of Artificial Neural Networks, Support Vector Machines, Natural Language Processing and Ensemble Decision Tree techniques are explored.  Valuable skills in the use of these techniques is reinforced with practical applications in R.

Subject details

FacultyBond Business School
Semesters offered
  • May 2019 [Standard Offering]
  • May 2020 [Standard Offering]
Study abroadAvailable to Study Abroad students
Study areas
  • Business and Commerce
Subject fees
  • Commencing in 2018: $4,247
  • Commencing in 2019: $4,290

Learning outcomes

1. Recognise and communicate the inputs, outputs, relationships, boundaries, and data transformations of digital systems.
2. Design, train and use neural networks, SVN and ensemble tree models for business data systems.
3. Apply statistical techniques and mathematical reasoning to formulate machine learning tools for data analysis.
4. Apply the language, thinking and tools of data retrieval and manipulation to real-world problems.
5. Apply the communication framework for translating data analysis into decision making outcomes.
6. Articulate ideas, decisions, recommendations and other information in a clear, concise writing style tailored to a given audience.


Please check the subject outline for pre-requisite subjects.

Subject outlines

Subject dates

Standard Offering
Enrolment opens18/03/2018
Semester start14/05/2018
Subject start14/05/2018
Cancellation 1?28/05/2018
Cancellation 2?04/06/2018
Last enrolment27/05/2018
Last withdrawal?08/06/2018
Teaching census?08/06/2018