Graduate Certificate in Machine Learning (GCertMLearn)

Program Code

GCML

Academic Year

2022

Special Notes

These Program Rules should be read in conjunction with the University's policies (http://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
Academic Program: 

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:

  1. Core courses to the value of 9 units
  2. Elective courses to the value of 3 units
Core courses

To satisfy the requirements for Core courses students must complete courses to the value of 9 units.

All of the following courses must be completed:

Subject / Catalogue Course Title Unit Value
COMP SCI 7210 Foundations of Computer Science A 3
MATHS 7027 Mathematical Foundations of Data Science 3

and

Courses to the value of 3 units from the following:

Subject / Catalogue Course Title Unit Value
COMP SCI 7212 Human and Ethical Factors in Computer Science 3
COMP SCI 7405 Research Methods in Software Engineering and Computer Science 3