Updating Results

Curtin University

  • 28% international / 72% domestic

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

  • Masters (Coursework)

The Data Science Dissertation Major enhances skills in data science and predictive analytics through core machine learning and project units, with options in AI, statistics, and more. Graduates can pursue careers in diverse fields of data analytics.

Key details

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

About this course

Overview

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

What you will learn

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

Career pathways

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.

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