Choosing the right degree

Computer Science vs Information Technology – What’s the difference?

Does an industry placement at Google, IMB, Deloitte or ANZ sound good? RMIT equips you with the relevant and industry-led skills that are in demand so you’ll keep up with the changing pace of globalisation and automation.

RMIT trains the leaders of the future. Gain new skills and knowledge in a leading industry placement. 

Students sharing laptop in cafe

Master of Computer Science

  • You’ll need an existing background in computer science
  • A more formal and advanced degree
  • Job outcomes include roles as software developers/engineers, systems and cybersecurity analysts, data scientists/analysts, digital policy advisors, project managers, computer programmers, hardware engineers, and other similar roles
  • Requires 1.5 years of study

Master of Information Technology

  • You can come from a non-related IT background
  • Less formal with a transferable skillset
  • Job outcomes include roles as an IT consultant, cloud architect, mobile application developer, web developer, system analyst, and other similar roles. You’ll be able to work as a consultant within banking, finance, human-computer interaction, the health industry, and technology
  • Requires 2 years of study

Artificial Intelligence vs Data Science – What’s the difference?

Artificial intelligence focuses on human-like decision-making to inform research and business interests, while data science derive critical insights to leverage important new business opportunities.

Join the scientific frontier and guide vital business decisions. If you have a strong maths background the Master of Data Science will be perfect for you.

Master of Artificial Intelligence

  • Explores human-like decision-making to inform research and business interests
  • Job outcomes include roles such as machine learning engineer, research scientist, business intelligence developer, computer vision engineer and many more jobs that are yet to be invented! 
  • A much heavier maths component than Data Science so ensure you’re comfortable with numbers
  • Application-orientated but with a wider focus
  • You’ll need to come from a maths background or similar (such as engineering or statistics)

Master of Data Science

  • Vast opportunities exist for you in the tech start-up space today
  • Job outcomes include data analyst, data scientist, consultant, data analytics executive, data science manager and many more
  • A more narrowly defined degree
  • You’ll need to come from a maths background or similar (such as engineering or statistics)
Flag Image One Flag Image Two

Acknowledgement of country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nations on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.

More information