Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Courses
Major
Artificial Intelligence | Data Science
Area of study
Information and Communication Technologies
Course Language
English
About Program
Program Overview
Led by industry experts, the program provides a deep understanding of scientific methods and equips graduates with skills for careers in various sectors, ranging from commerce and healthcare to law and engineering. The program also fosters effective communication and the ability to tackle real-world IT challenges.
Program Outline
Degree Overview:
The Artificial Intelligence and Data Science postgraduate major at Murdoch University is designed to equip students with the technical skills and knowledge needed to leverage AI systems and machine learning algorithms for data analytics.
Objectives:
- Gain expert knowledge and specialist skills in combining artificial intelligence systems and machine learning algorithms.
- Develop a deeper understanding of the scientific methods behind successful data analytics.
- Prepare for the workforce across a range of sectors, including commerce, telecommunications, health, education, architecture, mining, engineering, law, and government and non-government organizations.
- Gain a competitive advantage in the future workplace with a unique skill set in data-driven AI modeling and data analytics.
Teaching:
- The program is taught by information technology experts and industry advisors who share their experience and insights from a range of perspectives.
- 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:
- AI Specialist
- Machine Learning Specialist
- Machine Learning Consultant
- Data Scientist
- Data Analyst
- Business Analyst
Other:
- The program emphasizes effective communication and the development of solutions to complex real-world IT problems.
- The program covers topics such as AI techniques, data science methods, machine learning techniques, software tools for creating efficient AI solutions, and advanced computational and statistical tools.
- The program is designed for graduates from information technology degrees or other disciplines.
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