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Australian National Institute of Management and Commerce (IMC)

Master of Data Analytics

  • Masters (Coursework)

This course will provide students with the theories and methods to apply knowledge to analyse, forecast, visualize and make decisions about data.

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time, 4 years part-time
Course Code
111335J
Study Mode
In person

About this course

This course will provide students with the theories and methods to apply knowledge to analyse, forecast, visualize and make decisions about data.
You will develop your skills as information professionals in data mining techniques and applications, strategic thinking, project management and problem solving.



Entry requirements

  • An Australian bachelor's degree (or equivalent qualification, including an overseas qualification);
  • Completion of a Graduate Certificate in a relevant field of study (which must include at least one study of mathematics, statistics, or quantitative analysis), or
  • Completion of IMC's Postgraduate Preparation Program
  • Graduate Diploma in Data Analytics or a Graduate Diploma in a relevant field

Find out if your overseas qualification is recognised and meets the Entry Requirements.

Study locations

Sydney Campus

Course structure

This course contains 16 core subjects.

Year 1

  • DAC702 Introduction to Database
  • DAC700 Applied statistics
  • DAC600 Computer information systems
  • DAD802 Technology, society and ethics

Exit with a Graduate Certificate in Data Analytics

  • DAC604 Coding for Data Analytics
  • DAC602 System Analysis and Design
  • DAC601 Computer system and networking
  • DAS704 Security of data and systems

Exit with a Graduate Diploma of Data Analytics

Year 2

  • DAC701 Data analytics and programming
  • DAS705 Project management in information technology
  • DAS707 Research methodology
  • DAC703 Machine Learning
  • DAS706 Big data mining, wrangling and analytics
  • DAD805 Complex data projects
  • DAD808 Complex data security
  • DAD803 Capstone project

Exit with a Master of Data Analytics

Please note: The availability of units may be slightly different across campuses.

Credit for prior study or work

Recognition of Prior Learning (RPL) is available and will be assessed in accordance with IMC's RPL policy and procedure. Please refer to the Application for Recognition of Prior Learning and the RPL policy and procedure for further details.