Graduate Diploma in Artificial Intelligence and Machine Learning
| Program start date | Application deadline |
| 2025-01-01 | - |
| 2024-05-01 | - |
| 2024-09-01 | - |
Program Overview
The Graduate Diploma in Artificial Intelligence and Machine Learning equips professionals with high-level technical skills in AI and machine learning application development. The program combines intensive face-to-face courses, work-integrated learning, and online study, preparing students for careers in the rapidly growing AI and machine learning industry. Graduates gain a broad understanding of commercial, organizational, and research opportunities in AI and machine learning, as well as the ethical and social considerations of these technologies.
Program Outline
Degree Overview:
Overview:
- The Graduate Diploma in Artificial Intelligence and Machine Learning is designed for professionals from any field to upskill in this high-demand area.
- The program prepares students to thrive in the rapidly growing AI and machine learning industry.
Objectives:
- Develop high-level technical skills in machine learning and AI application development, including deep learning and visual question answering.
- Gain broad awareness of commercial, organizational, and research opportunities in AI and machine learning.
- Understand the ethical and social considerations of AI and machine learning.
- Gain valuable industry experience through an optional internship.
- Build extensive industry connections and networks.
Program Description:
- The program combines intensive face-to-face courses, work-integrated learning, and online study.
- Students receive ongoing mentoring, feedback, and direction from world-class researchers and industry professionals.
- The program can be studied in part-time, standard full-time, or accelerated mode.
Outline:
Core Courses (9 units):
- COMP SCI 7210: Foundations of Computer Science A
- COMP SCI 7211: Foundations of Computer Science B
- COMP SCI 7327: Concepts in Artificial Intelligence and Machine Learning
Elective Courses (15 units):
Option 1:
- 5 courses (3 units each) from the following list:
Option 2:
- 3 courses (3 units each) from the following list plus:
- ENG 7111: Internship (6 units)
Elective Course Options:
- COMP SCI 7212: Human and Ethical Factors in Computer Science
- COMP SCI 7314: Introduction to Statistical Machine Learning
- COMP SCI 7315: Computer Vision
- COMP SCI 7317: Using Machine Learning Tools PG
- COMP SCI 7318: Deep Learning Fundamentals
- COMP SCI 7417: Applied Natural Language Processing
- COMP SCI 7419: Deep Learning: Image Processing
- ENG 7111: Internship (6 units)
- MATHS 7027: Mathematical Foundations of Data Science
Teaching:
- The program blends interactive online and face-to-face learning experiences.
- It supports students in fitting their studies around other commitments without compromising the quality of learning.
Careers:
- Graduates have gone on to roles such as:
- Computational Scientist
- Computer Programmer
- Computer Scientist
- Diagnostic Technician
- Digital Strategist
- Software Specialist
- IT Manager
- IT Programmer
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 recognized alternative to Mathematical Methods.
Selection Criteria:
- Higher Education Study
- A completed Bachelor's degree and a minimum GPA of 4.5
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 recognized alternative to Mathematical Methods.
International Qualifications:
- Mathematics
Selection Criteria:
- A Bachelor degree or equivalent with a GPA of 4.5
Language Proficiency Requirements:
Australian Year 12
- Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject
English Tests accepted by the University of Adelaide
- IELTS: Overall 6.5, Reading 6, Listening 6, Speaking 6, Writing 6
- TOEFL: Overall 79, Reading 13, Listening 13, Speaking 18, Writing 21
- Pearson: Overall 58, Reading 50, Listening 50, Speaking 50, Writing 50
- C1 Advanced: Overall 176, Reading 169, Listening 169, Speaking 169, Writing 169
