Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00008C

The Master of Data Science (MDS) teaches you how to explore data and discover its potential - how to find innovative solutions to real problems in science, business and government, from technology start-ups to global organisations. With a degree in science, engineering, arts or computing, you can pursue a Master of Data Science, gaining skills in data management, data analytics and data processing - skills needed in this fast-growing field.

Structure

  • 4 foundation units (24 points), followed by 8 core units (48 points), followed by either: Industry experience (24 points)
  • or Research (24 points).

Subjects

  • Introduction to data science
  • Data wrangling
  • Modelling for data analysis

Standard entry requirements

An Australian undergraduate degree, not necessarily in IT, with at least pass (55%) average, or qualification deemed by the faculty to be a satisfactory equivalent

Study information

Campus Fees Entry Mid year intake Attendance
Clayton Domestic: $67,200
International: $85,600
Yes
  • Online/Off-campus
  • Flexible Delivery
  • Full-time : 2 years
  • Part-time : 4 years

Further information

Entry level 2: Duration: 1.5 years full-time, 3 years part-time (72 points to complete). An Australian undergraduate degree in a cognate discipline with at least pass a 55% average, relating to information systems or with an information systems major, with completed studies in: basic programming; basic database theory; systems analysis and design, plus an understanding of the major enterprise IT applications and their architectures, including enterprise/transaction processing systems and analytical/business intelligence systems or qualification deemed by the faculty to be a satisfactory equivalent.

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