Artificial Intelligence and Data Science (with Dissertation)
Program Overview
Murdoch's postgraduate major in Artificial Intelligence and Data Science empowers students with the technical expertise to leverage AI and data analytics solutions. Through exclusive access to the IT Innovation Hub and industry collaborations, students gain practical experience and insights from industry experts. The program equips graduates with the skills and knowledge to pursue careers as AI Specialists, Data Scientists, and Business Analysts in sectors such as commerce, engineering, and health.
Program Outline
Degree Overview:
This postgraduate major in Artificial Intelligence and Data Science (with Dissertation) is designed to equip students with the technical skills needed to leverage innovative solutions to industry challenges. It caters to both graduates from information technology degrees and those from other disciplines. The program focuses on providing knowledge and skills in AI and data science, covering emerging and future technologies, machine learning and AI techniques, data and business analysis, and data mining. A key feature of this program is the opportunity to undertake an IT research dissertation before graduation. The program highlights the growing demand for AI and data specialists, emphasizing the competitive advantage a unique skill set in data-driven AI modeling and data analytics provides in the future workplace.
Three reasons to study Artificial Intelligence and Data Science at Murdoch:
- Access to the IT Innovation Hub: Students can utilize the cutting-edge IT Innovation Hub, equipped with the latest mixed and augmented reality equipment, an operational data center, and high-performance computing capabilities.
- Industry Collaboration: The course is designed in collaboration with industry partners, emphasizing effective communication and the development of solutions to complex real-world IT problems.
- Expert Faculty: Students learn from information technology experts and industry advisors who share their experience and insights from a range of perspectives.
Outline:
Total credit points:
27
Required Units (27 credit points):
- ICT515 Foundations of Data Science (3 credit points)
- ICT601 Business Analytics (3 credit points)
- ICT606 Machine Learning (3 credit points)
- ICT619 Artificial Intelligence (3 credit points)
- ICT605 Interactive Data Visualisation and Simulation (3 credit points)
- ICT678 Information Technology Research Dissertation (12 credit points)
Careers:
The program prepares students for a wide range of careers in various sectors, including commerce, telecommunications, health, education, architecture, mining, engineering, law, and government and non-government organizations.
Potential career paths include:
- AI Specialist
- Machine Learning Specialist
- Machine Learning Consultant
- Data Scientist
- Data Analyst
- Business Analyst