Monash University
2 years part-time
Master the future of artificial intelligence with Monash's elite postgraduate program. Designed for software engineers, data strategists, and STEM professionals, this 2-year part-time degree teaches you to build production-ready AI systems using machine learning, NLP, and computer vision—with a focus on ethical, transparent, and secure AI development.
Entry requirements vary by qualification level. Entry Level 1 requires an Australian bachelor's degree in a STEM discipline (or equivalent) with at least a credit (60%) average, including degrees with mathematics, business analytics, scientific or critical thinking, or problem-solving components. Entry Level 2 requires a Monash University Graduate Certificate of Computer Science with at least a credit average. Entry Level 3 requires a Monash University Graduate Diploma of Computer Science with at least a credit average. All applicants must meet English language requirements and minimum university entrance requirements. No prior coding experience is required if entering through the foundation pathway.
The course is structured in three parts: Part A covers Foundations of Computer Science, including programming (Java or Python), databases, architecture, networks, and mathematical foundations. Part B includes Core Master's Studies (Fundamentals of AI, Software Engineering, Cryptography) and Artificial Intelligence Specialisation units (Machine Learning, Natural Language Processing, Intelligent Image and Video Analysis, Discrete Optimisation). Part C comprises Applied Practice units where students work on industry-led capstone challenges. The 2026 curriculum includes heavy focus on Transformer architectures, fine-tuning Large Language Models (LLMs), and ethics of synthetic media generation.
Monash University is ranked #2 in Australia for Computer Science (THE 2026) and is part of the prestigious Group of Eight (Go8). The university is ranked #36 globally in the Quacquarelli Symonds (QS) World University Rankings (2026). The program features an 'Applied AI' advantage with a Scientist-Practitioner model emphasising production-ready models over abstract theory. Students benefit from 1:1 coaching, dedicated online learning advisers, full access to Monash's digital library, and virtual classrooms with expert teaching staff.
Graduates pursue roles as Machine Learning Engineers, NLP Specialists, AI Ethics Consultants, Cyber Security Analysts, Security Analysts, IT Managers, Software Engineers, Full Stack Developers, and Project Managers. Demand for Machine Learning Engineers has spiked by 38.9% since 2022. Professionals with a master's degree in AI currently earn an average of A$145,000—a 56% premium over generalist IT roles. NLP and AI Ethics are currently the top two 'Hard-to-Fill' vacancies in the Australian tech sector. Career opportunities span finance, healthcare, government, education, and telecommunications sectors.
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