Program Overview

Foundation Studies prepares you for a successful transition to degree-level study, providing a pathway to the first year of study of a bachelor’s degree at Murdoch University.

This course is suited to you if you:

• Need an entrance qualification for Murdoch University
• Want to accelerate your university preparation after Year 11, or equivalent
• Want to change your degree stream after Year 11, or equivalent

Course Structure
For Foundation Studies you will complete eight units over two study periods, studying a combination of core and elective units. The units you will undertake will be determined by your chosen degree. All students must complete the two English units and at least one unit from each Discipline Group.

Each unit of study builds concepts from an introductory level through to university entrance level. The units are designed to develop your learning techniques as well as bridging gaps in your unit knowledge.

• English
  • Essential Australian Studies
  • Introduction to Academic Communication
• Mathematics
  • Introductory Mathematics
  • Mathematics for Science
• Science and Technology
  • Information Technology for Academic Studies
  • Computer Science
  • Physics
  • Chemistry
  • Biology
• The Arts
  • Introduction to Media
  • Media Production
• Business and Legal Studies
  • Accounting
  • Management
  • Economics

Leading to: Bachelor of Laws / Bachelor of Information Technology
Artificial Intelligence (AI) and Information Technology (IT) has fundamentally changed the legal world. IT is more important than ever in the legal field as we explore AI to help defend the rights of others.

Leverage your skill sets to future proof your career in this five-year degree, where you’ll gain the knowledge to practice law in range of complex IT settings and have the opportunity to take part in project-based units and solve problems for real clients.

You’ll take a hands-on approach to the law, develop strong real-life legal skills through our clinical program and develop your reasoning skills in our internationally recognised mooting program.

You’ll also explore theory, methods and systems used in the IT industry and will acquire strong analytical, research, design and technology skills combined with a very strong understanding of software design and programming.

Major: Artificial Intelligence and Autonomous Systems
Artificial Intelligence and Autonomous Systems professionals build software for smart systems like driverless cars, smart robots, intelligent chatbots, and intelligent diagnostic systems.

This course is designed to provide you with an in-depth understanding of the theory, methods, systems, software design and development used in Artificial Intelligence and Autonomous Systems that can be used in different industries and organisations.

You will be equipped with the knowledge and hands-on experience with up-to-date technologies that prepare you for the workforce.

The number of jobs emerging in Artificial Intelligence and Autonomous Systems is increasing yearly, allowing you to create and develop productivity improvements and efficiencies for most industries across the globe.

3 reasons to study a Bachelor of Information Technology in Artificial Intelligence and Autonomous Systems

• Work with leading researchers and practitioners in exciting real-world AI projects, at the number one university in WA for student support for computing and information technology by the Good Universities Guide 2024.
• Have the opportunity to utilise VR/AR technology for multidimensional data visualisation and simulation, and get industry-ready in our IT Innovation Hub, which includes a networking and gaming facility, a mixed and augmented reality studio, cyber security and networking labs. 
• Graduate with a competitive edge by completing a double major (with another IT major in Information Technology) to broaden your computing skills, and by having the opportunity to take on real clients with our project-based units.

Develop your skills
Build the knowledge and skills you need to meet your career or study goals. Topics you’ll cover include:

• Artificial intelligence and autonomous systems theory and practice
• Artificial intelligence system design theory
• Core concepts and principles of computing technology
• Data visualisation and simulation
• Machine learning
• Artificial intelligence and intelligent agents
• Systems analysis and design