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MJRP-DSCDS

Data Science Dissertation Major (M PredAnylt)

Postgraduate major

Course outline
  • Qualification
    Data Science Dissertation Major (M PredAnylt)
  • Credit

    Credit

    200
Course outline

Check the application deadline for the parent course

Course outline

Outline

Outline

The Data Science Dissertation Major consolidates data science and predictive analytics skills through core machine learning and project units along with a range of optional units. Available options extend knowledge in artificial intelligence, statistics, networking and internet of things, cloud computing, security and/or industrial automation. Graduates may find employment in data analytics across a wide range of fields, particularly as an enhancement to their current academic qualifications and experience.

What you'll learn

  • Apply advanced computing and machine learning algorithms and statistical theory in the exploration, analysis and presentation of data
  • Provide innovative and creative solutions utilising data science knowledge and analytical methods for academia, government and industry
  • Communicate the implementation and outcomes of data collection, processing and presentation to academic, expert and non-technical audiences
  • Apply data science to address industry, society and global problems
  • Develop solutions and analyses that respect confidentiality, ethics, sustainability and maintain social responsibility; endeavour to comply with standards and guidelines relevant to data science and to the applications domain
  • Demonstrate initiative and leadership when working independently and collaboratively using problem solving and decision-making skill
Credit for recognised learning (CRL)

Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Fees and charges

Please view the Master of Predictive Analytics degree for indicative fees.

Looking for more detail on the course structure?

View course structure

How to apply

Please review information on how to apply for the campus of your choice

Apply now
  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

    The information on this page may be subject to change. In particular, Curtin University may change the content, method or location of delivery or tuition fees of courses.

    While Curtin uses reasonable efforts to ensure that the information provided on this page is accurate and up to date, errors and omissions sometimes occur. Curtin makes no warranty, representation or undertaking (expressed or implied) nor does it assume any legal liability (direct or indirect) for the accuracy, completeness or usefulness of any information.

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  • Curtin course code: MJRP-DSCDS
  • Last updated on: 22 November 2024

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