Program Overview

Graduate Certificate in Applied Artificial Intelligence

The Graduate Certificate in Applied Artificial Intelligence is a postgraduate course designed to provide students with the knowledge and skills to work with artificial intelligence and data analytics. This course is part of an articulated program of study, allowing students to build on their study to achieve the right level of qualification for them.

Key Information

• Study Mode and Sessions: Online, with sessions starting in March and July.
• Duration: Minimum 0.5 years, maximum 1 year.
• Entry Score: To be announced.
• Indicative Fees:
  • International online: Full fee $17,320.00, per 8-point subject $4,330.
• Course Points and Codes: 32 credit points, AQF Level 8.
• Cricos: Details not specified.

Why Study with Us?

This course allows students to make use of cutting-edge technologies and processes in artificial intelligence and data analytics. Students work with dynamic tools and techniques, using real-world case studies to understand how to predict future trends, detect issues, create solutions, and efficiencies within business applications. The online study mode offers flexibility, and students can study part-time or full-time.

Career Opportunities

Upon completion, graduates can pursue careers as AI engineers, building AI models and algorithms to solve complex analytical problems, or as data scientists, probing big data to find patterns and relationships and transforming information into actionable insights and intelligence. Understanding the fundamentals of artificial intelligence can also lead to careers as machine learning engineers.

What You Will Study

The course includes:

• Core Subjects (24 credit points):
  • Programming Principles
  • Artificial Intelligence for Business Applications
  • Artificial Intelligence and Machine Learning
• Restricted Elective (8 credit points): Choose one from a list of subjects including Data Mining and Visualisation for Business Intelligence, Internet of Things, Cloud Computing, Foundations of Big Data Analytics, and Data and Knowledge Engineering.

Costs

• Calculate My Fee: Fees vary based on student type, commencement year, study mode, and location.
• Payment Options:
  • Pay all or part of the student contribution up front.
  • Defer fees via a HECS-HELP loan (for eligible students).
• Session Availability: The course is offered in multiple sessions for enrolment.

Entry Requirements

• Selection Rank: To be announced.
• Academic Entry Requirements: A completed Bachelor degree or higher qualification from a recognized Australian tertiary institution (or equivalent), or two years of relevant work experience.
• Language Requirements: Standard English Language Proficiency (ELP) requirements apply.
• Inherent Requirements: Not specified.

Credit and Pathways

• Credit: If you've completed relevant tertiary study or have work experience related to your course, you could receive credit towards your degree.
• Pathways: Several admission pathways are available to help you meet the entry requirements.

How to Apply

• Apply via UAC or VTAC: For domestic students, apply through the Universities Admissions Centre (UAC) or Victorian Tertiary Admissions Centre (VTAC).
• Apply Directly to Charles Sturt: For international students or those studying online.
• Recruitment Agent: For international students needing help with the application process.

Related Courses

Other courses of interest may include:

• Bachelor of Computer Science
• Bachelor of Information Technology
• Graduate Certificate in Applied Data Science
• Graduate Certificate in Business Administration (Computing)
• Graduate Certificate in Computing (Career Transition)
• Master of Cloud Computing and Virtualisation

This course provides a comprehensive introduction to applied artificial intelligence, equipping graduates with the skills and knowledge to succeed in a rapidly evolving technological landscape.