12 monthsProgramme duration
2Scholarships
JanStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
This course will enhance your existing abilities in IT/computational science or engineering by equipping you with AI expertise.
The course focuses on machine learning and emphasises the skills sought by the industry, such as neural networks design and implementation, while continually reinforcing the fundamental knowledge that underpins AI.
You will undertake assessments and tasks using the latest deep-learning models and tools, ensuring your learning is practical and stimulating. There are opportunities to complete assessments based on solving an AI challenge for your organisation.
You’ll also develop ethical, responsible and explainable AI solutions that align with current government standards, qualifying you to be part of a national effort to deliver AI that is safe, secure and reliable.
What you’ll learn
Demonstrate specialised knowledge in different areas of machine learning. Provide innovative, creative and entrepreneurial solutions underpinning science and analytical methods in artificial intelligence to address real world applications. Communicate effectively with digital competence solutions that involve expertise in artificial intelligence topics to experts and non-technical audiences. Develop leading edge technology and expert skills ensuring compliance with international and professional standards such as IEEE/ACM/ACS/ACSC/ISO. Create artificial intelligence solutions that are underpinned by ethics, sustainability and social responsibility. Demonstrate initiative, leadership when working independently and collaboratively using problem solving and decision-making skills.
The course focuses on machine learning and emphasises the skills sought by the industry, such as neural networks design and implementation, while continually reinforcing the fundamental knowledge that underpins AI.
You will undertake assessments and tasks using the latest deep-learning models and tools, ensuring your learning is practical and stimulating. There are opportunities to complete assessments based on solving an AI challenge for your organisation.
You’ll also develop ethical, responsible and explainable AI solutions that align with current government standards, qualifying you to be part of a national effort to deliver AI that is safe, secure and reliable.
What you’ll learn
Demonstrate specialised knowledge in different areas of machine learning. Provide innovative, creative and entrepreneurial solutions underpinning science and analytical methods in artificial intelligence to address real world applications. Communicate effectively with digital competence solutions that involve expertise in artificial intelligence topics to experts and non-technical audiences. Develop leading edge technology and expert skills ensuring compliance with international and professional standards such as IEEE/ACM/ACS/ACSC/ISO. Create artificial intelligence solutions that are underpinned by ethics, sustainability and social responsibility. Demonstrate initiative, 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
This course will enhance your existing abilities in IT/computational science or engineering by equipping you with AI expertise.
The course focuses on machine learning and emphasises the skills sought by the industry, such as neural networks design and implementation, while continually reinforcing the fundamental knowledge that underpins AI.
You will undertake assessments and tasks using the latest deep-learning models and tools, ensuring your learning is practical and stimulating. There are opportunities to complete assessments based on solving an AI challenge for your organisation.
You’ll also develop ethical, responsible and explainable AI solutions that align with current government standards, qualifying you to be part of a national effort to deliver AI that is safe, secure and reliable.
What you’ll learn
Demonstrate specialised knowledge in different areas of machine learning. Provide innovative, creative and entrepreneurial solutions underpinning science and analytical methods in artificial intelligence to address real world applications. Communicate effectively with digital competence solutions that involve expertise in artificial intelligence topics to experts and non-technical audiences. Develop leading edge technology and expert skills ensuring compliance with international and professional standards such as IEEE/ACM/ACS/ACSC/ISO. Create artificial intelligence solutions that are underpinned by ethics, sustainability and social responsibility. Demonstrate initiative, leadership when working independently and collaboratively using problem solving and decision-making skills.
The course focuses on machine learning and emphasises the skills sought by the industry, such as neural networks design and implementation, while continually reinforcing the fundamental knowledge that underpins AI.
You will undertake assessments and tasks using the latest deep-learning models and tools, ensuring your learning is practical and stimulating. There are opportunities to complete assessments based on solving an AI challenge for your organisation.
You’ll also develop ethical, responsible and explainable AI solutions that align with current government standards, qualifying you to be part of a national effort to deliver AI that is safe, secure and reliable.
What you’ll learn
Demonstrate specialised knowledge in different areas of machine learning. Provide innovative, creative and entrepreneurial solutions underpinning science and analytical methods in artificial intelligence to address real world applications. Communicate effectively with digital competence solutions that involve expertise in artificial intelligence topics to experts and non-technical audiences. Develop leading edge technology and expert skills ensuring compliance with international and professional standards such as IEEE/ACM/ACS/ACSC/ISO. Create artificial intelligence solutions that are underpinned by ethics, sustainability and social responsibility. Demonstrate initiative, leadership when working independently and collaboratively using problem solving and decision-making skills.
Admission Requirements
6+
A 3-year recognised Bachelor degree in Information Technology or Computational Science or Engineering with a minimum of 2 years relevant work experience
OR
A 4-year degree in Information Technology or Computational Science or Engineering
OR
A 4-year degree in Information Technology or Computational Science or Engineering
1 Year
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
21,600 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
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