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Master of Technology (Enterprise Systems and Business Analytics)

With a Master of Technology (Enterprise Systems and Business Analytics), you will gain a deep understanding of relevant topics and technology pertaining to Enterprise System (ES) Technology (like ERP, SCM, and CRM), BPR, Big Data, Business analytics, Cloud computing, IS security, Project management and IT strategy. Use cutting edge technology including SAP, the world’s largest enterprise software. It also includes IBM Watson, cognitive technology that can think like a human to analyse and interpret data, as well as understanding personality, tone and emotion. This course is designed to prepare you to succeed in roles that use ES Technology to manage, integrate and expand business endeavours.

CRICOS Code: 095031G

Duration: 2 years* Fast track options apply

Intakes: March, July, November

Fees: AUD$25,500

Entry requirements

  • Overall IELTS band score of 6.0, with no band less than 6.0 or equivalent.
  • Successful completion of a recognised 3-year Australian bachelor degree or overseas equivalent.

Professional recognition

This course holds professional-level accreditation with the Australian Computer Society (ACS).

Career opportunities

  • ERP business analyst
  • ERP data analyst
  • ERP project manager
  • ERP systems operation
  • Functional analyst
  • SAP consultant

Course structure

16 courses – 4 each semester.

Sample course structure

2017/18

Summer

  • Understanding the digital revolution
  • Networking and security
  • Big data and analytics
  • Foundation of programming
  • IT professional engagement*

2018

First semester

  • Enterprise systems
  • Professional research and communication
  • Business process and analytics and change
  • Business intelligence and data warehousing

2018

Second semester

  • ITECH 7201
  • Service management and professional culture
  • Leadership in IT project management
  • Real time analytics
  • Supply chain management

2018/19

Summer

  • Service management and professional culture
  • Leadership in it project management
  • Comparative programming language
  • Software engineering methodologies

2019

First semester

  • Masters project (60 credit point)
  • IT professional engagement runs throughout entire degree