Master of Artificial Intelligence - Plan MC271

Master of Artificial Intelligence - Plan MC271

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Student type:
Learning mode:
On campus
Entry score:

Not applicable

Duration:
Full-time 2 years
Part-time 4 years
Eligible for advanced standing
Fees:

AU$33,600 (2024 annual)

Next intake:
February, July
Location:
Melbourne City
Learning mode:
On campus
Entry score:

See admissions

Duration:
Full-time 2 years
Fees:

AU$39,360 (2024 annual)

Next intake:
February, July
Location:
Melbourne City
To graduate you must complete the following. All courses listed may not be available each semester.
Year One of Program
Complete the following Six (6) courses:
Course TitleCredit PointsCourse CodeCampus
Programming Fundamentals12COSC2531City Campus
Discrete Mathematics12MATH2415City Campus
The AI Professional12COSC2778City Campus
Practical Data Science with Python12COSC2670City Campus
Artificial Intelligence12COSC1125City Campus
Algorithms and Analysis12COSC1285City Campus
ANDSelect and complete Two (2) Courses from the Program Options List: Please refer to the list of Program Option Courses at the end of the program structure.
AND
Year Two of Program
Complete the following four (4) courses:
Course TitleCredit PointsCourse CodeCampus
Intelligent Decision Making12COSC2780City Campus
Programming Autonomous Robots12COSC2781City Campus
Deep Learning12COSC2779City Campus
Computational Machine Learning12COSC2793City Campus
AND
Project/Research Options
{Project Option: Complete the following One (1) course:
Course TitleCredit PointsCourse CodeCampus
Artificial Intelligence Postgraduate Project24COSC2777City Campus
ANDSelect and Complete Two (2) Courses from the Program Options List: Please refer to the list of Program Option Courses at the end of the program structure. }ORResearch Option: Complete the following Two (2) Courses:
Course TitleCredit PointsCourse CodeCampus
Research Methods12COSC2149City Campus
Minor Thesis/Project36COSC2179City Campus
AND
Program Options
Program Options List
Course TitleCredit PointsCourse CodeCampus
Advanced Programming for Data Science12COSC2820City Campus
Data Mining12COSC2111City Campus
Agent-Oriented Programming and Design12COSC2048City Campus
Evolutionary Computing12COSC2033City Campus
Applied Bayesian Statistics12MATH2269City Campus
Regression Analysis12MATH1312City Campus
Social Media and Networks Analytics12COSC2671City Campus
Games and Artificial Intelligence Techniques12COSC2528City Campus
Mixed Reality12COSC2477City Campus
Advanced Programming12COSC1295City Campus
Cloud Computing12COSC2640City Campus
Big Data Processing12COSC2637City Campus
Big Data Management12COSC2636City Campus
Database Systems12COSC2407City Campus
iPhone Software Engineering12COSC2472City Campus
Programming Internet of Things12COSC2755City Campus
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

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aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.

More information