Graduate Diploma in Machine Learning (GDipMLearn)
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
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Graduate Diploma in Machine Learning
To satisfy the requirements for Graduate Diploma in Machine Learning students must complete courses to the value of 24 units.
Core
Subject/Catalogue Course Title Unit Value COMP SCI 7210 Foundations of Computer Science - Python A 3 COMP SCI 7211 Foundations of Computer Science - Python B 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 and
Courses to the value of up to 3 units may be taken from the following:
Subject/Catalogue Course Title Unit Value COMP SCI 7059 Artificial Intelligence 3 COMP SCI 7314 Introduction to Statistical Machine Learning 3 and
Technical Specialisation
Subject/Catalogue Course Title Unit Value COMP SCI 7318 Deep Learning Fundamentals 3 or
Applied Specialisation
Subject/Catalogue Course Title Unit Value POLIS 7024 Political Institutions and Policy-Making 3 and
Courses to the value of up to 3 units may be taken from the following:
Electives
Subject/Catalogue Course Title Unit Value COMP SCI 7007 Specialised Programming 3 COMP SCI 7039 Computer Networks & Applications 3 COMP SCI 7059 Artificial Intelligence 3 COMP SCI 7064 Operating Systems 3 COMP SCI 7076 Distributed Systems 3 COMP SCI 7088 Systems Programming 3 COMP SCI 7305 Parallel and Distributed Computing 3 COMP SCI 7306 Mining Big Data 3 COMP SCI 7307 Secure Programming 3 COMP SCI 7308 Cybersecurity Fundamentals 3 COMP SCI 7315 Computer Vision 3 COMP SCI 7407 Advanced Algorithms 3 COMP SCI 7416 Applied Machine Learning 3 COMP SCI 7417 Applied Natural Language Processing 3 COMP SCI 7418 Advanced Topics in Machine Learning 3 COMP SCI 7419 Deep Learning: Image Processing 3 MATHS 7103 Probability & Statistics 3 PHIL 7003 Cognitive Science: Minds, Brains and Computers 3