Graduate Certificate in Artificial Intelligence
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Program Overview
Graduate Certificate in Artificial Intelligence
Overview
The Graduate Certificate in Artificial Intelligence equips students with essential skills and techniques in AI, preparing them to apply these skills in various fields such as government, defence, health, business, finance, science, and technology. This course empowers students to tackle future challenges relevant to organisations, industry, and government using AI approaches. Students can seamlessly progress from this course to the fully online 54-unit MAIDSC Master of Artificial Intelligence, Data Science and Cybersecurity. Additionally, this course can serve as an exit award from the MAIDSC Master of Artificial Intelligence, Data Science and Cybersecurity, provided students meet the requirements outlined in the Program of Study.
Course Offerings
- Mode of delivery: Online
- Study load: Part-time only
- Student type: Domestic
- Offer status: Active
Student Guidance
Study Planner
A study planner will help students decide what topics to study and when. It is used as a guide to plan enrolment and complete the degree, alongside the program of study, ensuring all requisites are met.
Program of Study Overview
To qualify for the Graduate Certificate in Artificial Intelligence, a student must complete 18 units with a grade of P or NGP or better in each topic, according to the program of study. The Graduate Certificate in Artificial Intelligence requires 1 year of part-time study and can only be undertaken on a part-time basis. Not all topics are necessarily available each year.
Program of Study Notes
- This Program of Study serves as a suggested study plan. When core topics are offered in both halves of the year, students may enrol in these topics in either half of the year as long as requisites are met.
Program of Study
18 Units
- Complete the minor below:
- ARIN-MN
- 18 Units
- Artificial Intelligence
Admission Requirements
Admission Requirements
Applicants must normally hold a degree or equivalent qualification from an approved tertiary institution. Applicants who have completed a Bachelor of Information Technology; Bachelor of Computer Science; or a specialisation in Artificial Intelligence within the last 3 years from the date of commencement of the course are not eligible to apply. However, the Dean (Education) may, under certain circumstances and subject to specific conditions, admit others who can show evidence of fitness for candidature.
Assumed Knowledge
- A high-school level understanding of mathematics and statistics. Students should be comfortable solving simple arithmetic or algebraic expressions and calculating statistical values (such as the average of a set of numbers).
- The ability to operate a computer to perform basic tasks such as downloading and opening files, installing software, etc.
Aims
This award aims to enable students to:
- Apply, adapt, and utilise artificial intelligence and machine learning tools to develop workplace solutions.
- Analyse complex problems and scenarios from both a theoretical and practical perspective.
- Draw on artificial intelligence tools and a range of different algorithms to develop solutions to problems using the most appropriate approach.
- Exhibit a strong, practical understanding of professional and ethical responsibilities.
Learning Outcomes
On completion of the course, students will be able to:
- Apply artificial intelligence tools to develop workplace solutions.
- Design and create integrated artificial intelligence and machine learning solutions to a broad spectrum of problem domains.
- Select, justify, and evaluate artificial intelligence approaches based on understanding of the technology and ethical implications.
- Analyse problems and explore scenarios from a real-world setting, creating appropriate solutions.
- Formalise and verify algorithms for correctness and performance with respect to a variety of metrics.
Qualification Title(s)
Graduate Certificate in Artificial Intelligence
Associations
Course/Exit Award Association
MAIDSC Master of Artificial Intelligence, Data Science and Cybersecurity.
Nested Association
MAIDSC Master of Artificial Intelligence, Data Science and Cybersecurity.
College
College of Science and Engineering
Unit Value
18
Course Type
Course
Level of Study
Postgraduate coursework
AQF Level
8 Graduate certificate
Standard Full-Time Duration
0.5 Year/s