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Course Details
- Duration1 years
- Credits80 Credits
- LanguageEnglish
- Credit TransferAvailable
- CertificateInternational Standard
- Mode of StudyBlended
- Fees$1000 USD
- Description
- Curriculum
- Training & Other Facilities
- Duration & Delivery
This qualification reflects the role of individuals who apply advanced and specialised knowledge in artificial intelligence, machine learning, and computational systems across complex, research-driven, and rapidly evolving technological environments.
Individuals at this level develop the ability to design, develop, evaluate, and deploy advanced AI systems that solve real-world problems. They acquire in-depth expertise in machine learning, deep learning, neural networks, data engineering, statistical modelling, and advanced programming techniques.
They utilise critical thinking, research methodologies, and high-level technical skills to build intelligent systems, optimise AI models, and develop innovative solutions in areas such as natural language processing, computer vision, robotics, big data, and cloud-based AI infrastructures.
Graduates are capable of conducting advanced research, developing and validating AI models, and implementing scalable intelligent systems while working independently or leading multidisciplinary teams on complex AI projects.
The program also emphasises ethical AI development, responsible deployment of intelligent systems, and secure AI-driven innovation.
This qualification prepares graduates for senior professional and research roles in artificial intelligence, machine learning engineering, data science, AI architecture, and innovation-driven industries, as well as doctoral-level studies in AI and advanced computing disciplines.
There are no specific academic prerequisites for this qualification.
General Entry Requirements (International Students)
- Minimum age of 18 years or above
- Completion of Year 12 or equivalent qualification
- English proficiency or proof that the medium of instruction in previous education was English
These requirements ensure students are prepared for academic success in higher education programs.
- Blended Learning (Online + Face-to-Face)
- Flexible Learning Support with Guided Academic Assistance
Our study mode is designed to provide flexibility for both local and international students while maintaining academic quality and engagement.
Students who complete this course may wish to continue their education into the BSB60420 Advanced Diploma of Leadership and Management or a range of Advanced Diploma qualifications, as well as higher education qualifications in business or management.
Program Structure – Master of Artificial Intelligence (80 Credits)
This program is designed to provide advanced technical knowledge and practical skills in artificial intelligence and machine learning. The total credit requirement is structured as follows:
| Category | Description | Credits |
|---|---|---|
| Advanced Artificial Intelligence Foundations | Advanced concepts in artificial intelligence including machine learning theory, statistical modelling, advanced programming, and computational intelligence | 20 |
| Machine Learning & Deep Learning Systems | Advanced machine learning techniques, neural networks, deep learning architectures, and model optimisation strategies | 15 |
| AI Systems Engineering & Deployment | Design and deployment of AI systems including cloud AI, MLOps, scalable architectures, and production-level implementation | 15 |
| Research Methods & AI Ethics | Research methodologies, experimental design, AI ethics, responsible AI, and professional practice in artificial intelligence | 10 |
| Advanced AI Applications | Specialised AI applications including natural language processing, computer vision, robotics, and intelligent automation systems | 10 |
| Master’s Thesis / Capstone Project | Independent research or industry-based AI project involving problem definition, model development, evaluation, and deployment | 10 |
| Total | 80 |
- Artificial Intelligence Engineer
- Machine Learning Engineer
- AI Research Scientist
- Deep Learning Specialist
- Computer Vision Engineer
- Natural Language Processing (NLP) Engineer
- AI Solutions Architect
- Data Scientist (Advanced Level)
- Robotics Engineer
- AI Systems Developer
- MLOps Engineer
- AI Product Manager
- Big Data & AI Engineer
- Intelligent Automation Specialist
- AI Consultant / Technology Analyst
These diverse career pathways highlight the strong industry relevance of the Master of Artificial Intelligence, preparing graduates for advanced professional and research roles across artificial intelligence, machine learning, data science, robotics, automation, and intelligent systems industries.
*Career opportunities may vary based on experience, specialization, and industry demand.
State-of-the-art computer laboratory equipped with high-speed internet access and industry-standard IT software supporting hands-on practical learning and innovation.
Smart classroom facilities featuring data projectors and digital learning tools that enhance interactive teaching, collaboration, and presentations.
Well-organized resource borrowing service providing access to books, academic references, and essential learning materials.
Printing and photocopying facilities supporting smooth academic workflow, productivity, and student convenience.
Dedicated student common area designed for collaboration, relaxation, networking, and peer interaction within a balanced campus environment.
A modern, supportive, and technology-rich learning environment empowering students for academic excellence and professional success.
The Master of Artificial Intelligence is delivered over a total duration of 1 year, structured across 3 academic terms.
The program comprises a total of 80 credits, providing a rigorous and specialised postgraduate learning pathway.
Designed to systematically develop deep theoretical knowledge and high-level practical skills in artificial intelligence.
Hands-on experience in machine learning, deep learning, intelligent systems design, data-driven modelling, and AI application development.
Exposure to real-world industry challenges, research-oriented problem-solving approaches, and modern AI tools, frameworks, and platforms.
Prepares graduates for advanced industry roles, research opportunities, innovation-driven careers, and further doctoral studies in artificial intelligence and intelligent computing systems.
Course Details
- Duration1 years
- Credits80 Credits
- LanguageEnglish
- Credit TransferAvailable
- CertificateInternational Certification
- Mode of StudyBlended Learning
- Learning Platform24/7 Online LMS Access
- Face-to-Face ClassInteractive Classroom Learning
- Lab ClassPractical Hands-on Training
- AssignmentCoursework & Projects
- PresentationIndividual & Group Presentation
- QuizContinuous Learning Assessment
- Class TestPeriodic Performance Evaluation
- Career PathwayIndustry-Oriented Programs
- Fees$1000 USD
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