Global Masters in Applied AI from Deakin University

Master of Applied Artificial Intelligence (Global)

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    A global masters degree & PG certificates

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    Masters degree designed and delivered by Deakin faculty

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    WES accredited, supporting global recognition and opportunities

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    Master Applied AI—Build, Deploy & Lead Next-Gen Intelligent Systems

Application closes on: 24th Apr 2026

Master of Applied Artificial Intelligence (Global)

Master of Applied Artificial Intelligence (Global)

12+12 Months • Online • Industry-ready curriculum

Skills You Will Learn

Master Industry-valued Skills

Build advanced Applied AI skills across algorithm design, deployment & human-aligned systems

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Reinforcement Learning

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Computer Vision

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Speech Processing

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Deep Learning

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Human Aligned AI

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Mathematics for AI

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AI Solution Engineering

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Ethical & Explainable AI

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Robotics

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Deployable AI Systems

Meet your faculty

Meet our expert faculty with in-depth knowledge in Applied AI and a passion to help you succeed

  • Gang Li  - Faculty Director

    Gang Li

    Professor; Faculty of Science Engineering and Built Environment/School of Information Technology

    Professor at Deakin and Director across multiple AI labs

    IEEE Senior Member with expertise in AI, data privacy and ML

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  • Dr. Sutharshan Rajasegarar  - Faculty Director

    Dr. Sutharshan Rajasegarar

    Associate Professor; Faculty of Science Engineering and Built Environment/School of Information Technology

    Course Director for Data Science at Deakin University

    Research leader in AI and federated machine learning

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  • Dr. Asef Nazari  - Faculty Director

    Dr. Asef Nazari

    Associate Professor; Faculty of Science Engineering and Built Environment/School of Information Technology

    Associate Professor at Deakin and HDR Coordinator

    Expert in optimisation, AI and large-scale data systems

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  • Dr. Bahareh Nakisa  - Faculty Director

    Dr. Bahareh Nakisa

    Senior Lecturer Faculty of Science Engineering and Built Environment/School of Information Technology

    Senior Lecturer in Applied AI and Course Director at Deakin

    Expert in AI, deep learning and human-centred AI systems

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  • Fatima Ansarizadeh  - Faculty Director

    Fatima Ansarizadeh

    Lecturer, Applied Artificial Intelligence; Faculty of Science Engineering and Built Environment/School of Information Technology

    Applied AI Lecturer at Deakin with a PhD from Swinburne

    Leads applied research in AI, ML and Data Science domains

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  • Dr Wei-Yu Chiu  - Faculty Director

    Dr Wei-Yu Chiu

    Associate Professor, Mathematics; Faculty of Science Engineering and Built Environment/School of Information Technology

    Associate Professor at Deakin, specialising in AI for energy systems

    Expert in ML, RL and optimisation for smart energy solutions

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  • Dr Kelvin Li  - Faculty Director

    Dr Kelvin Li

    Lecturer, Mobile and Quantum Computing; Faculty of Science Engineering and Built Environment/School of Information Technology

    Lecturer at Deakin in Quantum Computing and Cryptography

    Expert in lattice cryptography and privacy-preserving AI

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  • Dr Thommen George  - Faculty Director

    Dr Thommen George

    Lecturer, Information Technology (AI); Faculty of Science Engineering and Built Environment/School of Information Technology

    Lecturer in AI at Deakin and Associate Director, Bachelor of AI

    Expert in reinforcement learning and human-guided AI systems

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  • Dr Anuroop Gaddam  - Faculty Director

    Dr Anuroop Gaddam

    Senior Lecturer; Faculty of Science Engineering and Built Environment/School of Information Technology

    Senior Lecturer at Deakin, specialising in AI, ML and IoT

    Expert in health informatics and smart, sustainable systems

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  • Dr. Kumar Muthuraman - Faculty Director

    Dr. Kumar Muthuraman

    Faculty Director, McCombs School of Business, The University of Texas at Austin

    Faculty Director, Center for Analytics and Transformative Technologies

    21+ years' experience in AI, ML, Deep Learning, and NLP.

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  • Dr. Abhinanda Sarkar - Faculty Director

    Dr. Abhinanda Sarkar

    Senior Faculty & Director Academics, Great Learning

    30+ years of experience in data science, ML, and analytics.

    Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

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  • Dr. D Narayana - Faculty Director

    Dr. D Narayana

    Senior Faculty, Academics, Great Learning

    18+ years in AI, ML, and financial engineering solutions

    PhD in Mathematics from Pierre and Marie Curie University, France

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  • Dr. Pavankumar Gurazada - Faculty Director

    Dr. Pavankumar Gurazada

    Senior Faculty, Academics, Great Learning

    15+ years of experience in marketing, digital marketing, and machine learning.

    Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.

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Earn a Masters Degree from Deakin University

Limited seats available. Apply early to secure your spot