Big Data in Business

The Big Data in Business specialisation is designed to provide students with specialised training in the areas of big data and analytics in order to succeed and thrive in today's business world. The specialisation is comprised of units of study offered by the Disciplines of Business Analytics, Business Information Systems, Marketing and the Institute of Transport and Logistics Studies that specifically explore the application of big data, as well as for their focus and emphasis on dealing with big data, as well as associated analytical tools and technologies, to help solve real business problems and make effective business decisions.

Requirements for a Big Data in Business specialisation

To achieve a specialsiation in Banking within the Master of Commerce, students must complete 30 credit points in units of study comprising:

  • 6 credit points in foundational units of study;
  • 6 credit points in compulsory units of study; and
  • 18 credit points in elective units of study.

A sample pathway for the Big Data in Business specialsaition (spread over two years of the Master of Commerce degree) is listed below.

Year Session Units of study
First Semester 1 Foundational: QBUS5001 Quantitative Methods for Business
Semester 2 Compulsory: BUSS6002 Data Science in Business
Second Semester 1 Elective for specialisation Elective for specialisation
Semester 2 Elective for specialisation

Please Note. This sample progression is meant as an example only. Depending on unit prerequisites, students may be able to complete these units in a different sequence to that displayed in the table above.

For details of the foundational, compulsory and elective units of study required for the specialisation please refer to the Big Data in Business section of the Table of postgraduate units of study: Commerce in this handbook.

Further information

For further information regarding study in Big Data in Business in the Commerce coursework programs, please contact the Postgraduate Discipline Coordinator for the Discipline of Business Analytics.