Graduate Certificate in Artificial Intelligence and Machine Learning (GCertAIMLearn)
Graduate Certificate in Artificial Intelligence and Machine Learning (GCertAIMLearn)
Program Code
GCAIM
Program Faculty
Faculty of Sciences, Engineering and Technology
Academic Year
2023
These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).
Overview
The Graduate Certificate in Artificial Intelligence and Machine Learning will provide graduates with a foundation in Artificial Intelligence and Machine Learning and allow for the identification and application of emerging developments and considerations. Artificial Intelligence and Machine Learning are evolving spaces with implications for the future of work and our daily lives.
In this program, students undertake core courses in computer science, mathematics and machine learning. The program provides a pathway, and advanced standing, to further learning in the Diploma and Master of Artificial Intelligence and Machine Learning.
The Graduate Certificate in Artificial Intelligence and Machine Learning is an AQF Level 8 qualification with a standard full0time duration of 0.5 years.
Conditions
Interruption of program: Students must apply for permission from the Faculty before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to b ere-admitted to the program subject to the admission procedures in place at the time.
Academic Program Rules for Graduate Certificate in Artificial Intelligence and Machine Learning
There shall be a Graduate Certificate in Artificial Intelligence and Machine Learning.
Qualification Requirements
To qualify for the Graduate Certificate in Artificial Intelligence and Machine Learning, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 12 units, comprising:
- Core courses to the value of 6 units
- Elective courses to the value of 6 units
- Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.
Core Courses
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Core Courses
To satisfy the requirements for Core Courses students must complete courses to the value of 6 units.
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 7210 Foundations of Computer Science A 3 COMP SCI 7327 Concepts in Artificial Intelligence and Machine Learning 3
Electives
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Electives
To satisfy the requirements for Electives students must complete courses to the value of 6 units.
Courses to the value of 6 units from the following:
Subject/Catalogue Course Title Unit Value COMP SCI 7059 Artificial Intelligence 3 COMP SCI 7211 Foundations of Computer Science B 3 COMP SCI 7212 Human and Ethical Factors in Computer Science 3 COMP SCI 7314 Introduction to Statistical Machine Learning 3 COMP SCI 7315 Computer Vision 3 COMP SCI 7317 Using Machine Learning Tools PG 3 COMP SCI 7318 Deep Learning Fundamentals 3 COMP SCI 7416 Applied Machine Learning 3 COMP SCI 7417 Applied Natural Language Processing 3 MATHS 7027 Mathematical Foundations of Data Science 3 PHIL 7005 Machine Learning and Artificial Intelligence 3