Graduate Diploma in Artificial Intelligence and Data Science

Program Overview

The Graduate Diploma in Artificial Intelligence and Data Science equips IT professionals with the skills to manage and leverage big data through a computational approach. The program offers a combination of required and elective units, emphasizing data management, analytics, and advanced study projects addressing real-world IT challenges. Graduates will be equipped for diverse careers in industries reliant on data analysis and management.

Program Outline

Degree Overview:

The Graduate Diploma in Artificial Intelligence and Data Science equips students with the analytical skills needed to work with big data. It is designed for information technology graduates and professionals working in related fields, providing them with the knowledge and skills to manage, protect, and leverage big data.

Outline:

The program consists of 24 credit points and is structured as follows:

Required Units (12 credit points):

• ICT521 IT Professional Practice (3 credit points)
• ICT581 Information Systems Principles and Practice (3 credit points)
• ICT582 Python Programming Principles and Practice (3 credit points)
• ICT583 Data Science Applications (3 credit points)

Specified Elective Units (12 credit points):

Students can choose from the following units:

• ICT501 Business Analysis and Systems Development Approaches (3 credit points)
• ICT502 Applied Information Security Management (3 credit points)
• ICT505 Knowledge Management (3 credit points)
• ICT508 Information Technology Project Management (3 credit points)
• ICT515 Foundations of Data Science (3 credit points)
• ICT516 IoT Technopreneurship (3 credit points)
• ICT601 Business Analytics (3 credit points)
• ICT612 Human Factors in Information Technology (3 credit points)
• ICT616 Data Resources Management (3 credit points)
• ICT619 Artificial Intelligence (3 credit points)
• ICT622 Information Technology Strategy (3 credit points)

Teaching:

The program is taught with an emphasis on effective communication and the development of solutions to complex real-world IT problems. It is delivered in a collaborative environment with industry partners. The program utilizes the IT Innovation Hub, a cutting-edge learning, teaching, and research facility equipped with the latest mixed and augmented reality equipment, an operational data center, and high-performance computing capabilities.

Careers:

Upon graduation, students will possess the skills to manage, protect, and leverage big data, opening up employment opportunities across various industries, including telecommunications, health, education, architecture, engineering, law, and government. Potential career paths include:

• Data Analyst
• Data Modeller
• Data and Analytics Manager
Students may be eligible for advanced standing, which can reduce the amount of study required to complete the degree by giving credit for prior learning. This includes formal learning (previous study in higher education, vocational education, or adult and community education) and informal learning (on-the-job learning, work experience, and life experience).