24 monthsProgramme duration
2Scholarships
JanStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Master of Predictive Analytics addresses the growing demand for data scientists who have the right blend of technical and analytical skills to meet the challenge of big data analytics. 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’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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Master of Predictive Analytics addresses the growing demand for data scientists who have the right blend of technical and analytical skills to meet the challenge of big data analytics. 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’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.
Admission Requirements
6+
A recognised bachelor’s degree in Science, Engineering, Business, or a related field; and completed Mathematics, Economics, Accounting, Statistics, or a related unit at university level.
2 Years
Jan
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
43,200 SGD
Scholarships
Value
25% tuition fee waiver
Deadline
31 Dec 2035
Application requirements
QS Event Attendance is NOT required
Entry requirements
Curtin University
Value
20% tuition fee waiver
Deadline
31 Dec 2027
Application requirements
QS Event Attendance is NOT required
Entry requirements
Curtin University
More programmes from the university
Postgrad Programmes
150
Get closer to your dream programme
Your consent preferences have been set.
Time to start exploring.
Your account has been removed.
You can still browse the site or sign up again once you have parental consent.
Get closer to your dream programme