Graduate Certificate in Artificial Intelligence and Machine Learning
| Program start date | Application deadline |
| 2025-01-01 | - |
| 2025-05-01 | - |
| 2025-09-01 | - |
| 2024-01-01 | - |
| 2024-05-01 | - |
| 2024-09-01 | - |
Program Overview
The Graduate Certificate in Artificial Intelligence and Machine Learning from the University of Adelaide equips students with technical skills in machine learning and AI application development, broad awareness of industry opportunities, and an understanding of ethical and social considerations. The program offers flexible study modes and is taught by world-class researchers and industry professionals from the Australian Institute of Machine Learning. Graduates can pursue careers in various fields, including computational science, computer programming, and IT management.
Program Outline
Degree Overview:
Overview:
The Graduate Certificate in Artificial Intelligence and Machine Learning, conducted through the University of Adelaide’s world-renowned Australian Institute of Machine Learning (AIML), will prepare you for an exciting career in this pivotal field.
Objectives:
- Equip students with a suite of technical skills in machine learning and AI application development, including in specialist areas, such as deep learning and visual question answering.
- Provide broad awareness of the commercial, organisational, and research opportunities presented by machine learning and AI.
- Impart an introductory understanding of the disciplines’ ethical and social considerations.
- Lay the necessary foundation of skills and understanding to embark on work or further study in artificial intelligence or machine learning.
Outline:
Program Content:
- Principles of computer science
- Concepts in artificial intelligence and machine learning
- Statistical machine learning
- Computer vision
- Using machine learning tools
- Deep learning fundamentals
- Applied natural language processing
- Deep learning: image processing
- Mathematical foundations of data science
- Machine learning and artificial intelligence
Course Schedule:
- The program can be studied in part-time, standard full-time, or accelerated mode.
- In accelerated mode, students take 12 units (4 courses) per trimester.
- In standard full-time mode, students take 24 units (8 courses) per year.
- In part-time mode, students take 3 or 6 units (1 or 2 courses) per trimester.
Teaching:
Teaching Methods:
- Face-to-face intensive courses
- Online study
Faculty:
- World-class researchers and high-performing industry professionals from the Australian Institute of Machine Learning (AIML).
Unique Approaches:
- Mentoring, feedback, and direction from AIML's world-class researchers and high-performing industry professionals.
Careers:
Potential Career Paths:
- Computational Scientist
- Computer Programmer
- Computer Scientist
- Diagnostic Technician
- Digital Strategist
- Software Specialist
- IT Manager
- IT Programmer
Opportunities and Outcomes:
- Develop solutions to constantly monitor a business’s key relationships and predict how and when to upsell.
- Help not-for-profits maximize donations through advanced AI modeling of website traffic.
- Gain credit towards the Graduate Diploma and Master in Artificial Intelligence and Machine Learning.
University of Adelaide College
Overview:
The University of Adelaide College is a pathway institution offering programs designed to prepare students for undergraduate and postgraduate studies at both Adelaide University and the University of Adelaide. Located in Adelaide and Melbourne, the College provides a range of programs, including Foundation Studies, Degree Transfer, Pre-Master's, and English Language programs.
Services Offered:
The College offers a comprehensive range of services to support students, including:
Academic Programs:
Foundation Studies, Degree Transfer, Pre-Master's, and English Language programs.Student Services:
Orientation, accommodation assistance, career guidance, and academic support.Campus Life:
Student clubs and societies, social events, and opportunities to engage with the wider university community.Visa Information:
Guidance and support for international students seeking student visas.Student Life and Campus Experience:
Students at the University of Adelaide College can expect a vibrant and supportive campus environment. The College offers a range of opportunities for students to connect with each other and engage in extracurricular activities. The College also provides access to the facilities and resources of both Adelaide University and the University of Adelaide.
Key Reasons to Study There:
Pathway to prestigious universities:
The College provides a clear pathway to undergraduate and postgraduate studies at Adelaide University and the University of Adelaide.World-class programs:
The College offers high-quality programs taught by experienced and dedicated faculty.Supportive learning environment:
The College provides a supportive and inclusive learning environment with small class sizes and personalized attention.Access to university resources:
Students have access to the facilities and resources of both Adelaide University and the University of Adelaide.Vibrant campus life:
The College offers a range of opportunities for students to connect with each other and engage in extracurricular activities.Academic Programs:
The College offers a range of academic programs, including:
Foundation Studies:
Designed for students who do not meet the entry requirements for direct entry into undergraduate programs at Adelaide University or the University of Adelaide.Degree Transfer:
Allows students to complete the first year or two of their undergraduate degree at the College and then transfer to Adelaide University or the University of Adelaide to complete their degree.Pre-Master's:
Prepares students for postgraduate studies at Adelaide University or the University of Adelaide.English Language Programs:
Designed to improve students' English language skills to the level required for study at Adelaide University or the University of Adelaide.Other:
The College is accredited by the Tertiary Education Quality and Standards Agency (TEQSA). The Melbourne campus is operated by Kaplan Higher Education Pty Ltd.
Entry Requirements:
Domestic applicants:
- Prerequisites: SACE Stage 2: Mathematical Methods. IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL). MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.
- Selection Criteria:
- Graduate entry: Higher Education Study
- Bachelor degree or equivalent; or
- Relevant work experience of at least 3 years in Machine Learning / AI or cognate roles; or
- Diploma or above in cognate discipline plus 2 years relevant work experience in Machine Learning / AI or cognate roles.
International applicants:
- Australian Year 12: SACE Stage 2: Mathematical Methods. IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL). MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.
- International Qualifications: Mathematics
- Selection Criteria:
- Academic Entry Requirements:
- Bachelor degree or equivalent; or
- Relevant work experience of at least 3 years in Machine Learning / AI or cognate roles; or
- Diploma or above in cognate discipline plus 2 years relevant work experience in Machine Learning / AI or cognate roles.
