postgraduate
Master of Computing – Artificial Intelligence major
- MJRP-AINTL
Master of Computing
| Location | Curtin Singapore campus |
|---|---|
| Study method | On-campus |
| Study mode | Full-time or part-time |
| Intake | Trimester 1A 2026 |
| Duration | 16 months full-time (4 trimesters) |
Learn key concepts around artificial intelligence with a focus on machine learning.
What you’ll learn
- develop, apply, evaluate and manage solutions for software systems, organisations and large scale data sources using the latest advances in analytics and industry-accepted standards, GC1, GC2, GC4, GC6
- apply and evaluate advanced technical knowledge and its underpinning science and analytical methods in Artificial Intelligence to address real world applications, GC1, GC2, GC6
- communicate effectively to design, apply, manage and evaluate solutions that involve the latest advances in technology, and industry standards and use both written and verbal forms to convey the required knowledge to both experts and non-technical audiences, GC3, GC4, GC5
- apply the latest technology and devise new approaches to process a wide range of large scale data sources in order to derive new critical knowledge that can be used to address current problems in both Information Technology and related areas, GC1, GC2, GC4, GC6
- develop new IT security solutions through the application of leading edge technology and expert skills and that are underpinned by ethics, sustainability and social responsibility and comply with the IEEE/ACM/ACS standards, GC1, GC2, GC3, GC4, GC5, GC6
- demonstrate initiative, leadership and ethical practice when working independently and collaboratively, GC2, GC3, GC4, GC5, GC6
- demonstrate an advanced understanding and application of research methodology by completing a major project in Artificial Intelligence, GC1, GC2, GC3, GC5, GC6
Admission criteria
A bachelor’s degree in information technology, Computer Science, or Engineering
OR
A bachelor’s degree and demonstrated knowledge and skills in programming, operating systems, and computing mathematics
Minimum English language entry requirements
| IELTS Academic (International English Language Testing System) | ||||
|---|---|---|---|---|
| Writing | 6.0 | |||
| Speaking | 6.0 | |||
| Reading | 6.0 | |||
| Listening | 6.0 | |||
| Overall band score | 6.0 |
Other notes
Fees
| Tuition fee | Fee before 9% GST | Fee including 9% GST |
|---|---|---|
| Total tuition fee | S$43,200 | S$47,088 |
| Payable over trimester instalments |
Fees listed are indicative and subject to annual increases.
Credit for previous study
If you have previously studied in this field, you are encouraged to contact Curtin Singapore to discuss eligibility for Credit for Recognised Learning (credit for unit exemptions).
Course Structure
Credits needed to graduate: 400.
Each unit is 25 credits unless stated otherwise.
Trimester 1
Trimester 2
- Decision Methods and Predictive Analytics
- Neural Networks and Statistical Machine Learning
- Industrial Automation and Robotics
- Planning and Handling Uncertainty in Machine Learning
Trimester 3
Trimester 4
Units are not necessarily shown in the order studied. Units are subject to change.