Graduate Diploma in Artificial Intelligence and Machine Learning

Program Overview

The Graduate Diploma in Artificial Intelligence and Machine Learning equips professionals with high-level technical skills in AI and machine learning application development. The program combines intensive face-to-face courses, work-integrated learning, and online study, preparing students for careers in the rapidly growing AI and machine learning industry. Graduates gain a broad understanding of commercial, organizational, and research opportunities in AI and machine learning, as well as the ethical and social considerations of these technologies.

Program Outline

Degree Overview:

Overview:

• The Graduate Diploma in Artificial Intelligence and Machine Learning is designed for professionals from any field to upskill in this high-demand area.
• The program prepares students to thrive in the rapidly growing AI and machine learning industry.

Objectives:

• Develop high-level technical skills in machine learning and AI application development, including deep learning and visual question answering.
• Gain broad awareness of commercial, organizational, and research opportunities in AI and machine learning.
• Understand the ethical and social considerations of AI and machine learning.
• Gain valuable industry experience through an optional internship.
• Build extensive industry connections and networks.

Program Description:

• The program combines intensive face-to-face courses, work-integrated learning, and online study.
• Students receive ongoing mentoring, feedback, and direction from world-class researchers and industry professionals.
• The program can be studied in part-time, standard full-time, or accelerated mode.

Outline:

Core Courses (9 units):

• COMP SCI 7210: Foundations of Computer Science A
• COMP SCI 7211: Foundations of Computer Science B
• COMP SCI 7327: Concepts in Artificial Intelligence and Machine Learning

Elective Courses (15 units):

Option 1:

• 5 courses (3 units each) from the following list:

Option 2:

• 3 courses (3 units each) from the following list plus:
• ENG 7111: Internship (6 units)

Elective Course Options:

• COMP SCI 7212: Human and Ethical Factors in Computer Science
• COMP SCI 7314: Introduction to Statistical Machine Learning
• COMP SCI 7315: Computer Vision
• COMP SCI 7317: Using Machine Learning Tools PG
• COMP SCI 7318: Deep Learning Fundamentals
• COMP SCI 7417: Applied Natural Language Processing
• COMP SCI 7419: Deep Learning: Image Processing
• ENG 7111: Internship (6 units)
• MATHS 7027: Mathematical Foundations of Data Science

Teaching:

• The program blends interactive online and face-to-face learning experiences.
• It supports students in fitting their studies around other commitments without compromising the quality of learning.

Careers:

• Graduates have gone on to roles such as:
• Computational Scientist
• Computer Programmer
• Computer Scientist
• Diagnostic Technician
• Digital Strategist
• Software Specialist
• IT Manager
• IT Programmer