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Curtin University

  • 28% international / 72% domestic

Data Science Major (M PredAnylt): Master of Predictive Analytics

  • Masters (Coursework)

The Data Science Major focuses on predictive analytics and data science skills, offering core machine learning and project units alongside optional topics like AI, statistics, and cloud computing. Graduates can enhance their qualifications and find roles in diverse fields of data analytics.

Key details

Degree Type
Masters (Coursework)
Duration
1 semester full-time
Course Code
MJRP-DATSC

About this course

Overview

The Data Science 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 algorithms and statistical theory in the exploration, analysis and presentation of data.
  • Provide innovative and creative solutions utilising data science knowledge and analytical methods.
  • Communicate the implementation and outcomes of data collection, processing and presentation to both expert and non-technical audiences.
  • Apply and devise new approaches to data science - potentially addressing global problems through analysis and simulation; endeavour to comply with standards and guidelines relevant to data science and to the application domain.
  • Develop solutions and analyses that respect confidentiality, ethics, sustainability and maintain social responsibility.
  • Demonstrate initiative and leadership when working independently and collaboratively using problem solving and decision-making skills.

What you will learn

What you'll learn

  • Apply advanced algorithms and statistical theory in the exploration, analysis and presentation of data.
  • Provide innovative and creative solutions utilising data science knowledge and analytical methods.
  • Communicate the implementation and outcomes of data collection, processing and presentation to both expert and non-technical audiences.
  • Apply and devise new approaches to data science - potentially addressing global problems through analysis and simulation; endeavour to comply with standards and guidelines relevant to data science and to the application domain.
  • Develop solutions and analyses that respect confidentiality, ethics, sustainability and maintain social responsibility.
  • Demonstrate initiative and leadership when working independently and collaboratively using problem solving and decision-making skills.

Career pathways

The Data Science 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.

Credit for prior study or work

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

How to apply

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