Graduate Certificate in Machine Learning (GCertMLearn)
Graduate Certificate in Machine Learning (GCertMLearn)
Program Code
GCML
Program Faculty
Faculty of Sciences, Engineering and Technology
Academic Year
2021
These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).
Overview
The Graduate Certificate in Machine Learning will provide graduates with a foundation in Machine Learning and allow for the identification and application of emerging developments and considerations. Machine Learning is a specialisation within the disciplines of Computer Science and Artificial Intelligence. It is a rapidly evolving space with implications for the future of work and our daily lives.
The program is suitable for students with no prior experience in computer science as well as those with existing qualifications. 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 Master of Machine Learning.
The Graduate Certificate in Machine Learning is an AQF Level 8 qualification with a standard full-time duration of 0.5 years.
Conditions
Condition of Enrolment
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 be re-admitted to the program subject to the admission procedures in place at the time.
Academic Program Rules for Graduate Certificate in Machine Learning
There shall be a Graduate Certificate in Machine Learning.
Qualification Requirements
To qualify for the Graduate Certificate in 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 12 units.
Core Courses
-
Core courses
To satisfy the requirements for Core courses students must complete courses to the value of 12 units.
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 7210 Foundations of Computer Science - Python A 3 COMP SCI 7212 Human and Ethical Factors in Computer Science 3 COMP SCI 7317 Using Machine Learning Tools PG 3 MATHS 7027 Mathematical Foundations of Data Science 3