Graduate Diploma in Machine Learning (GDipMLearn)

Program Code
GDML

Program Faculty
Faculty of Sciences, Engineering and Technology

Academic Year
2020

These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).

Overview

The Graduate Diploma 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 a variety of core and elective courses, designed to provide knowledge of the techniques and theory of machine learning, and their basis in computer science and mathematics. Students will elect to undertake either a technical or applied specialisation. The program provides a pathway, and advanced standing, to further learning in the Master of Machine Learning.

The Graduate Diploma in Machine Learning is an AQF Level 8 qualification with a standard full-time duration of 1 year.
 

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 be re-admitted to the program subject to the admission procedures in place at the time.

Academic Program Rules for Graduate Diploma in Machine Learning

There shall be a Graduate Diploma in Machine Learning.

Qualification Requirements

To qualify for the Graduate Diploma in Machine Learning, the student must complete satisfactorily a program of study consisting of the following courses with a combined total of not less than 24 units, comprising:
Core courses to the value of 21 units
Elective courses to the value of 3 units
 

Core Courses