Master of Data Science

University of Southern Queensland

About Master of Data Science

  • Work independently and collaboratively to apply key ICT and data science technologies and programming skills to interpret major theories and critically investigate and solve contemporary core issues in a global market. 
  • Tailor your degree to your career aspirations and study a general Enterprise Data Science stream or focus your learning with one of two specialisations – Artificial Intelligence and Machine Learning, or Data Analytics.  
  • Choose from two different pathways of research in your masters degree – the research project track (develop a thesis in an independent project) or the research training track (gain specialised skills to prepare for a professional career).  
  • This masters degree is accredited by the Australian Computer Society (ACS), giving eligibility for ACS membership, and recognition by ACS for certification.

Professional accreditation

This masters degree is accredited by the Australian Computer Society (ACS), giving eligibility for ACS membership, and recognition by ACS for certification.

Entry Requirements

  • 3-year bachelor degree from an Australian university, or equivalent, in any area 
or
  • a minimum of 5 years' professional work experience equivalent to an AQF Level 7 qualification (bachelor).

English Program Requirements

All UniSQ program entry requirements list an IELTS English score as a prerequisite. If you have another English language proficiency score, please consult the table below for equivalent comparisons. The full list of approved tests and scores, is available on our English language proficiency test requirements schedule.

English Language Proficiency tests should not be older than two years upon application.

English Requirements

  • Min IELTS : 6
  • Min TOEFL : 550

Career outcomes

  • This degree provides a diverse range of career outcomes with opportunity to advance your profession into any big-data related field. As a graduate, you will become an efficient data scientist, utilising predictive analytics, big data management, big data analysis and modelling, to produce insights that make important, real-life decisions.
  • Data scientists are highly sought after, and the demand is set to increase as organisations, within technical, engineering, science, business, education and research sectors, require skilled employees to understand and interpret data to benefit business productivity.
  • Careers may include: Data Scientist (with skills of analytics, research, innovation), Data Analyst (with skills of data management, data analysis, business analysis), Data Engineer (with skills of analytics, methods and tools, data analysis), Data Manager (with skills of data management, data analysis, problem management).
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Course Summary

Study level

Postgraduate

Discipline

Computer Science and IT

Cricos

101854

Duration

2 years

Study mode

On Campus

Fee*

A$29,680 per year
University Summary

AU Ranking: 0

QS Ranking: 651-700

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