Graduate Certificate in Applied Artificial Intelligence
A starter in the tools and techniques of AI. Explore how business and industry are using AI today.
About the Course
Make use of cutting-edge technologies and processes.
From day one you’ll work with dynamic tools and techniques used in artificial intelligence and data analytics. With relevant, real-world case studies you will be able to understand how to predict future trends, detect issues, create solutions and efficiencies within the business applications. This online artificial intelligence degree will provide you the knowledge and skills to be a part of any future-oriented and sustainable enterprise.
Study artificial intelligence online with flexibility
Connect digitally with your academics and peers to enhance your online learning experience. Take part in lively discussions. Build a network of like-minded colleagues. By learning artificial intelligence online part-time or full-time, you can study when and how it suits you. You'll also have the option to fast track or slow down your degree, depending on your situation.
Course Entry Requirements
A completed Bachelor degree or higher qualification from a recognised Australian tertiary institution (or equivalent)
Upon successful completion of the Graduate Certificate, students will be eligible for admission to relevant Masters course and receive credit for applicable subjects as per Charles Sturt credit policy.
Two years relevant work experience.
Recognition of prior learning (RPL) and credit for current competencies will be granted to eligible applicants. If you’ve studied before, you may be able to fast-track your postgraduate degree with Recognition of Prior Learning (RPL). If you’ve completed relevant tertiary study, you could be awarded credit for your postgraduate degree. Get in touch to see if you’re eligible for credit based on your previous qualifications or industry experience.
Course Structure
Recommended study pattern
The course structure consists of 3 core subjects and 1 restricted elective.
Core
ITC558 Programming Principles
ITC588 Artificial Intelligence for Business Applications
ITC576 Artificial Intelligence and Machine Learning
Restricted Electives
Choose 1 subject from:
ITC516 Data Mining and Visualisation for Business Intelligence
ITC560 Internet of Things
ITC561 Cloud Computing
ITC575 Foundations of Big Data Analytics
ITC573 Data and Knowledge Engineering
Award requirements
To graduate students must satisfactorily complete 32 points.
Make use of cutting-edge technologies and processes.
Understand how to predict future trends, detect issues, create solutions and efficiencies within business applications.
Work with dynamic tools and techniques used in artificial intelligence and data analytics.
