Master of Data Science

RMIT University

Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00122A

We live in a data-driven world thats generating huge volumes of information at ever-increasing rates via social media, financial transactions, transportation, and scientific discovery. Consequently, an understanding of data is a top priority for all of us whether youre in business, government, or individually as citizens and consumers.The new interdisciplinary field of data science combines areas of computer science with mathematical statistics and domain expertise to manage and analyse data. Specialists develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. Data science also puts an emphasis on the specialised computational skills required to manage and analyse big data from sources such as social media, massive sensors, mobile and transaction data. It enables businesses to gain a competitive edge, governments to deliver more targeted services, and research teams to make new discoveries.

Structure

The Master of Data Sciences first year develops a solid foundation in computer science and statistics - core skills necessary for every data scientist in their professional work.

Subjects

  • Data Science

Standard entry requirements

  • An Australian bachelor degree in computing, science, engineering, or health, or statistics with a GPA of at least 2.0 out of 4.0, or equivalent. OR You may also be considered if you have an Australian bachelor degree with a GPA of at least 2.0 out of 4.0, or equivalent and
  • Relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum three years of current, relevant work experience or professional practice as a programmer, statistician or equivalent.

Recognition

Students and graduates can join the Institute of Analytics Professionals of Australia (IAPA). IAPA is the professional organisation for the analytics industry in Australia, incorporating business analytics and data mining across multiple disciplines and sectors.

Study pathways

Students with relevant studies in computer science, information technology, software engineering, data science, analytics or statistics will be eligible for exemptions. The Graduate Diploma in Data Science is available if students choose to exit the Master's program after 96 credit points. This excludes any courses awarded as credit (exempted). Upon successful completion of this program students may be eligible to undertake further studies in related programs at RMIT University, including the Master of Computer Science (Research) and PhD in Computer Science, subject to entry requirements.

Study information

CampusFeesEntryMid year intakeAttendance
Melbourne City Domestic: $69,120
No
  • Full-time : 2 years
  • Part-time : 4 years
Melbourne City International: $82,560 No
  • Full-time : 2 years

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