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Major (2020)

Information on this page, including unit offerings, is from the 2020 academic year.

Data Science (ME+MIT)

  • DATA SCIENCE (ME+MIT)

  • Course Outline
  • Course Structure
  • Fees
  • Course Plans
Title Data Science (ME+MIT)
Study Level Bachelor (Undergraduate)
Organisational Unit Information Technology, Mathematics and Statistics
Academic Contacts http://goto.murdoch.edu.au/AcademicContacts
Availability Murdoch campus (internal)
Murdoch campus (external)
Description The major in Data Science is designed to provide graduates with knowledge and skills in the area of data science. The major emphasises data and business analysis as well as data resources manag ment. This skill set is needed to work with what is commonly known as 'big data'.
Admission Requirements: Onshore course offerings AS per normal course requirements.

Equivalent of an Academic IELTS overall score of 6.0 with no band less than 6.0.
Major Learning Outcomes MLO01: Demonstrate a practical and theoretical understanding of advanced computational and statistical tools and methods for data-driven analysis and problem solving, including their limitations.
MLO02: Be able to choose, use, combine and evaluate techniques and technologies appropriate for different big data analysis tasks.
MLO03: Demonstrate and articulate a critical understanding of the latest approaches, theories and research activities in data science.
MLO04: Demonstrate written, oral and interpersonal communication skills that support the efficient and effective communication of developed systems through documentation, technical report and presentations to clients and the broader community.
Internet Access RequirementsMurdoch units normally include an online component comprising materials, discussions, lecture recordings and assessment activities. All students, regardless of their location or mode of study, need to have access to and be able to use computing devices with browsing capability and a connection to the Internet via Broadband (Cable, ADSL or Mobile) or Wireless. The Internet connection should be readily available and allow large amounts of data to be streamed or downloaded (approximately 100MB per lecture recording). Students also need to be able to enter into online discussions and submit assignments online.

Major Structure - 24 credit points

Core Units - 24 credit points

ICT508 Information Technology Project Management - 3 points
MURDOCH: S1-internal

ICT513 Data Analytics - 3 points
MURDOCH: S2-internal, S2-external

Major Structure - 24 credit points

Core Units - 24 credit points

ICT515 Foundations of Data Science - 3 points
MURDOCH: S2-internal

ICT601 Business Analytics - 3 points
MURDOCH: S2-internal

ICT616 Data Resources Management - 3 points
MURDOCH: S1-internal, S2-internal

Major Structure - 24 credit points

Core Units - 24 credit points

ICT619 Artificial Intelligence - 3 points
MURDOCH: S1-internal

ICT621 IT Group Project - 6 points
MURDOCH: S1-internal, S2-internal

To check other years, go to the Course Plans site.

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