{"id":117398,"date":"2026-04-23T13:33:56","date_gmt":"2026-04-23T08:03:56","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/deakin-university-launches-a-masters-in-applied-ai-focused-on-real-world-skills\/"},"modified":"2026-04-23T13:13:58","modified_gmt":"2026-04-23T07:43:58","slug":"deakin-university-launches-a-masters-in-applied-ai-focused-on-real-world-skills","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/deakin-university-launches-a-masters-in-applied-ai-focused-on-real-world-skills\/","title":{"rendered":"Deakin University Launches a Master\u2019s in Applied AI Focused on Real-World Skills"},"content":{"rendered":"\n<p>Artificial Intelligence is transforming industries worldwide, enabling organizations to build intelligent systems, automate processes, and drive data-informed decision-making. As this adoption accelerates, the demand for skilled professionals with strong technical expertise and business acumen continues to grow.<\/p>\n\n\n\n<p>To address this urgent global demand, Deakin University has officially introduced the <a href=\"https:\/\/www.mygreatlearning.com\/deakin-master-of-applied-artificial-intelligence\">Master of Applied Artificial Intelligence (Global)<\/a>. Designed and delivered by academic and industry experts, this program offers a structured pathway for aspiring AI professionals. It enables learners to develop comprehensive expertise in Artificial Intelligence while continuing their professional careers.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"the-integrated-24-month-pathway\"><strong>The Integrated 24-Month Pathway<\/strong><\/h2>\n\n\n\n<p>This globally recognized program is structured as a comprehensive 24-month journey. The format is divided into two distinct, high-impact phases:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Phase 1:<\/strong> Learners begin with the 12-month Post Graduate Program in Artificial Intelligence and Machine Learning (PGP-AIML). This phase builds a strong foundation in core concepts and practical applications.<\/li>\n\n\n\n<li><strong>Phase 2:<\/strong> Upon successful completion of the PGP-AIML, learners progress to the 12-month online Master of Applied Artificial Intelligence (Global) directly from Deakin University.<\/li>\n<\/ul>\n\n\n\n<p>By completing this program, successful learners will receive the Master of Applied Artificial Intelligence (Global) from Deakin University.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-makes-this-program-unique\"><strong>What Makes This Program Unique?&nbsp;<\/strong><\/h2>\n\n\n\n<p>Deakin University offers a high-quality education, excellent employment prospects, and a stimulating teaching and research environment. The university provides several compelling differentiators for professionals:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Elite Global Rankings:<\/strong> Deakin is ranked the 207 university worldwide according to the QS World University Rankings 2026. Furthermore, it is positioned among the top 200 universities worldwide for Computer Science and Engineering by the ShanghaiRanking of Academic Subjects 2026.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>A Dual Advantage:<\/strong> Learners acquire globally recognized credentials from leading universities. Students receive PG certificates from the McCombs School of Business at The University of Texas at Austin and Great Lakes Executive Learning upon completing the PGP-AIML program.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>WES Recognition:<\/strong> The Master's degree from Deakin University is recognized by World Education Services (WES), significantly enhancing academic and professional credentials.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"><strong>Unmatched ROI:<\/strong>\u00a0Learners earn a global Master<\/span>'s degree at one-tenth the cost of a traditional 2-year on-campus Master's program.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Career Continuity:<\/strong> The flexible online format allows professionals to upskill while they work, ensuring career progression without a pause.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"who-should-enroll\"><strong>Who Should Enroll?<\/strong><\/h2>\n\n\n\n<p>This exclusive program is for learners interested in pursuing a Master's degree at Deakin University. To be eligible, learners must hold a Bachelor's degree in any discipline from a recognized university with a minimum aggregate score of 60%. Additionally, the medium of instruction in their Undergraduate or Postgraduate studies should be English.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-you-will-learn\"><strong>What You Will Learn?<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"phase-1-the-pgp-aiml-curriculum\"><strong>Phase 1: The PGP-AIML Curriculum<\/strong><\/h3>\n\n\n\n<p>The foundational PGP-AIML curriculum has been updated in consultation with industry experts and academicians to ensure exposure to cutting-edge topics.&nbsp;<\/p>\n\n\n\n<p>It covers an expansive technological toolkit, including Python, ChatGPT, LangChain, TensorFlow, NumPy, Gemini, Hugging Face, and over 27 languages and tools.<\/p>\n\n\n\n<p>The exhaustive course progression includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Foundational Prep Work:<\/strong> Python Bootcamp for Non-programmers, Python Prep Work, and Generative AI Prep Work.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Python &amp; Machine Learning:<\/strong> Introduction to Python (Python Programming, Python for Data Science, EDA, Analysing Text Data), Machine Learning (Linear Regression, Decision Trees, K-Means Clustering), and Advanced Machine Learning (Bagging, Boosting, Model Tuning).<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Deep Learning &amp; NLP:<\/strong> Introduction to Neural Networks (Optimising Neural Networks) and Natural Language Processing with Generative AI (Word Embeddings, Attention Mechanism and Transformers, Large Language Models and Prompt Engineering, Retrieval Augmented Generation).<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Specialized Domains:<\/strong> Introduction to Computer Vision (Image Processing, Convolutional Neural Networks) and Model Deployment (Containerisation).<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data &amp; Advanced Operations:<\/strong> Introduction to SQL, Applied Statistics (Inferential Statistics Foundations, Estimation and Hypothesis Testing), Advanced Machine Learning and MLOps (Model Interpretability, Building ML Pipelines), and Advanced Generative AI for Natural Language Processing (AI Assistant Development, Fine-tuning LLMs).<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"phase-2-the-masters-curriculum\"><strong>Phase 2: The Master's Curriculum<\/strong><\/h3>\n\n\n\n<p>The Master of Applied Artificial Intelligence (Global) program from Deakin University is designed with a modular structure, unbundling the curriculum into foundational and advanced competency tracks. The 12-month program is delivered across three intensive trimesters:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"trimester-1\"><strong>Trimester 1<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Module 1: Reinforcement Learning.<\/strong> This module introduces Reinforcement Learning, focusing on developing agents that take actions in an environment to achieve goals by balancing exploration and exploitation. Learners will apply techniques like multi-armed bandits, value iteration, and reward design, while exploring continuous-time MDPs and deep RL.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Module 2: Engineering AI Solutions.<\/strong> This track focuses on the end-to-end process of designing, developing, and operationalizing AI solutions. It equips learners to apply engineering principles with scientific rigor, conduct experiments, and properly manage stakeholder expectations from inception to deployment.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"trimester-2\"><strong>Trimester 2<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Module 3: Robotics, Computer Vision, and Speech Processing.<\/strong> This module explores how robotics systems sense and interact with their environment. Learners investigate state-of-the-art Machine Learning methods and develop novel solutions integrating computer vision and speech processing for real-world robotics applications.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Module 4: Deep Learning.<\/strong> Focusing on both structured and unstructured data like images, videos, and text, this module explores core theories such as computational graphs. Learners master techniques including convolutional neural networks, recurrent networks, and neural embedding methods.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"trimester-3\"><strong>Trimester 3<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Module 5: Human Aligned Artificial Intelligence.<\/strong> As AI deployment grows, this critical module focuses on aligning AI systems with human values. It covers the ethical, safe, explainable, and interactive aspects of AI, studying concepts such as artificial general intelligence, superintelligence, and methods like interpretability and transparency.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Module 6: Mathematics for Artificial Intelligence.<\/strong> This foundational module enables learners to interpret, apply, and verify mathematical concepts essential for solving problems in Artificial Intelligence.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-you-will-learn\"><strong>How You Will Learn?<\/strong><\/h2>\n\n\n\n<p>With an emphasis on practical learning, the curriculum is guided by industry needs to ensure that Deakin degrees remain relevant both now and in the future. The program features robust academic and career support:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Live Engagement:<\/strong> The program includes 10 live virtual classes led by Deakin faculty.<\/li>\n\n\n\n<li><strong>Industry Exposure:<\/strong> Learners gain insights from leading industry experts through specific industry sessions and competency courses.<\/li>\n\n\n\n<li><strong>Hands-On Learning:<\/strong> The curriculum is heavily anchored by practical, hands-on projects.<\/li>\n\n\n\n<li><strong>Mentorship:<\/strong> Students receive weekly mentorship sessions provided by Great Learning during the PGP-AIML program.<\/li>\n\n\n\n<li><strong>Career Enhancement Support:<\/strong> The program includes workshops and guidance to help learners identify strengths and career paths.<\/li>\n\n\n\n<li><strong>Job Portal Access:<\/strong> Learners are given access to GL Excelerate, a curated jobs portal enabling them to apply to relevant positions.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"world-class-faculty-and-industry-experts\"><strong>World-Class Faculty and Industry Experts<\/strong><\/h2>\n\n\n\n<p>The curriculum is delivered by distinguished academia and industry veterans. Faculty for the PGP-AIML include experts like Dr. Kumar Muthuraman (Faculty Director at UT Austin, Texas), Dr. Abhinanda Sarkar (Consultant Data Scientist with a Ph.D. from Stanford University), and Prof. Dan Mitchell (Clinical Assistant Professor, UT Austin).<\/p>\n\n\n\n<p>The Deakin University faculty brings immense academic weight, including Associate Professor Dr. Sutharshan Rajasegarar, Professor Dr. Gang Li (IEEE Senior Member), and Senior Lecturer Dr. Bahareh Nakisa.<\/p>\n\n\n\n<p>This educational initiative is partnered with Great Learning, a leading global ed-tech company that has impacted 14 million+ learners across 170+ countries. Their programs are constantly reimagined to address the dynamic needs of the industry, backed by a network of over 8200 industry experts.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"eligibility-and-next-steps\"><strong>Eligibility and Next Steps<\/strong><\/h2>\n\n\n\n<p>Professionals aiming to accelerate their career progression must meet specific eligibility criteria. Learners must hold a Bachelor's degree in any discipline from a recognized university with a minimum aggregate score of 60%.&nbsp;<\/p>\n\n\n\n<p>Furthermore, the medium of instruction in their Undergraduate\/Postgraduate studies must have been English.<\/p>\n\n\n\n<p>This exclusive program has limited seats available on a strictly first-come, first-served basis. The admission process is conducted in three steps: interested candidates first fill out a simple online application form.&nbsp;<\/p>\n\n\n\n<p>Next, applicants must go through a mandatory screening call with the registration office. Finally, selected candidates receive an offer letter and must pay the registration fee to secure their seat.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deakin University launches a Master\u2019s in Applied AI focused on real-world skills, helping professionals build practical expertise and advance in AI-driven 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