Degree + PG Certificates from Top Institutions
Earn Globally Recognised Credentials
Earn a globally recognized Masters from Deakin University along with PG certificates in AI & Machine Learning from from McCombs School of Business at The University of Texas at Austin and Great Lakes Executive Learning
Image is for illustrative purpose only. The actual certificate may be subject to change at the discretion of University.
Skills You Will Learn
Master Industry-valued Skills
Build advanced Applied AI skills across algorithm design, deployment & human-aligned systems
Reinforcement Learning
Computer Vision
Speech Processing
Deep Learning
Human Aligned AI
Mathematics for AI
AI Solution Engineering
Ethical & Explainable AI
Robotics
Deployable AI Systems
Meet your faculty
Meet our expert faculty with in-depth knowledge in Applied AI and a passion to help you succeed
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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
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
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
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
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
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
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
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
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, 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
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
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
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.
Earn a Masters Degree from Deakin University
Limited seats available. Apply early to secure your spot
Master of Applied Artificial Intelligence (Global)
12+12 Months • Online • Industry-ready curriculum
Application closes on24th Apr 2026
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