Flinders University
3 years full-time
Master machine learning and AI within a comprehensive IT degree. This program equips you with both foundational IT skills and advanced expertise in intelligent systems, preparing you for careers as machine learning engineers, data scientists, and AI developers in Australia's fastest-growing tech sector.
Entry requirements vary by student background. Domestic students require an ATAR of 70.00 or equivalent (STAT 150.0, GPA 4.5, or TAFE/VET Certificate IV or above). International students must meet IELTS overall 6.0 (speaking, writing 6.0) or Pearson overall 50. Alternative pathways are available including Foundation Studies, Skills for Tertiary Admissions Test (STAT), and higher education transfer. No prior programming experience is required, though some topics include mathematics and statistics with support available.
Year 1 focuses on IT foundations and AI basics, covering Fundamentals of Artificial Intelligence, Programming Fundamentals, UX Fundamentals, Fundamentals of Software Engineering, Database Modelling and Information Management, and Networks and Cybersecurity. Year 2 advances into software, systems, and machine learning with Full-Stack Web Development, Data Engineering, Data Structures and Algorithms, Neural Networks and Machine Learning, Systems Software, Requirements Analysis and System Design, Networking Fundamentals, and ICT Management and Professional Standards. Year 3 specializes in AI, Cloud and Distributed Computing, covering Cloud and Distributed Computing, Information Security, Artificial Intelligence, Machine Learning and Vision, plus a 12-week industry-based practicum and two elective options in Probabilistic Machine Learning or Advanced Data Mining and Knowledge Discovery.
Flinders University is ranked No.1 in South Australia for Computing & Information Systems across full-time employment, learner engagement, learning resources, overall educational experience and student support (Good Universities Guide 2025). The program is accredited by the Australian Computer Society at the professional level, with international recognition under the Seoul Accord. Graduates meet academic requirements for chartered ICT professional status. The university offers strong industry connections through Work Integrated Learning placements, state-of-the-art facilities at the Tonsley innovation hub, and expert faculty including researchers in AI, machine learning, and data science.
Graduates are in high demand across health, defence, finance, and tech sectors. Career pathways include Machine Learning Engineer (designing intelligent systems with typical salary of $120K), Data Scientist (transforming datasets into actionable insights), Artificial Intelligence Developer (implementing AI-driven applications), Business Intelligence Analyst (interpreting business data for strategic decisions), Software Engineer (developing intelligent systems), and IT Consultant (advising on AI and machine learning adoption). Many professionals progress into senior roles such as AI architect, research scientist, technical lead, lead analyst, AI strategy consultant, or head of data science teams.
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