Facebook-f Linkedin Instagram Youtube Tiktok
Search
Advanced Professional Certificate

Advanced Professional Certificate in Immersive Technologies and Metaverse

Training Roadmap


Completion of Stages 1 to 3 curricula earns the participant an Advanced Professional Certificate in this programme.

Programme Objectives

This Advanced Professional Certificate will equip learners with the following competencies:

  • Learn to identify future opportunities in Metaverse and related fields such as Augmented and Virtual Reality, Artificial Intelligence, the Internet of Things, and Blockchain.
  • Develop skills in creating business plans that consider the Physical and Digital Twins of the Metaverse, so as to unlock the value in each of these inter-related domains.
  • Develop skills needed for the creation of products and services in the Metaverse and related fields such as Augmented Reality, Virtual Reality and other 3D interface systems.
  • Develop skills needed for the design of user experiences in the Metaverse and related fields such as Augmented Reality, Virtual Reality, Mixed Reality and other 3D interface systems.
  • Understand how Artificial Intelligence (AI), Machine Learning (ML) and Cloud Computing play an integral role in the foundation and development of Metaverse.
  • Understand how Blockchains, the Internet of Things, and ubiquitous Artificial Intelligence (AI) can be used in the Metaverse

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively:
• Executives, Developers, Designers and Managers in Information Technology related fields, business development, strategic planning and operations, Cloud engineers, and Infrastructure Architects.

Who Should Attend

Mid-career PMETs.

Prerequisites

  • Minimum of a Diploma or its equivalent
  • Some knowledge and understanding of immersive technologies and metaverse (PC3)
  • Basic Metaverse knowledge (PC3)
Reserve Your Seat Now
Contact Us

Chat with us

Types of Available Fundings

  • Enhanced Training Support
  • SFEC
  • PSEA

    • Instructors


    Dr Ai Xin

    Dr Ai Xin

    Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience teaching Artificial Intelligence and Data Science courses such as machine learning, deep learning and data mining. She graduated from NUS with a PhD degree in Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks. She worked at BHP Billiton Marketing Asia for eight years, gaining extensive industry experience in various functions such as risk management, supply chain management, and sales and marketing planning.

    Rahul Nath

    Rahul Nath

    Rahul Nath is a creative technologist with 17 years of experience in games and films. He has shipped over 10 games and directed 4 pilot series. He has leveraged technology such as motion capture, face capture, real-time game engines, Virtual Reality and XR in the projects he was involved in to continuously push the envelope of what is possible. He has previously worked at Digipen Institute of Technology, Virtuos Games, Maui and Digital Chocolate and currently is focused on use cases involving game engines in trans media projects.”

    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications. He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.

    Dr Ganesh Neelakanta Iyer

    Dr Ganesh Neelakanta Iyer

    Dr Ganesh Neelakanta Iyer is a Lecturer in in the Department of Computer Science, National University of Singapore. Prior to this, he worked as a lead DevOps engineer at Salesforce.com. He had also served as an Associate Professor in the Department of Computer Science & Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. He has received his Bachelor’s degree in Computer Science and Engineering (University first rank) from Mahatma Gandhi University, Kerala, India in 2004 and Masters and PhD degrees from National University of Singapore in 2008 and 2012 respectively. He brings in a decade of industry experience in various companies including Sasken Communication Technologies, NXP semiconductors and Progress software. He has handled several roles in the software industry including QA Architect, Technical Support Manager, Engineering development and Technology Evangelist. He has strong inclination towards Game Theory. He applies game theory for handling conflicts, enforcing cooperation and for multi-agent systems. His technical knowledge and experience are in various areas including Cloud/Edge/Fog Computing Paradigms (including cloud platforms, containers and Kubernetes), Computer Networks, Software Engineering practices (Agile) and Quality Analysis, Economic models (Game Theoretic principles) and current day practices on cloud-based enterprise architectures, Machine Learning and technology for traditional Indian dance (such as Kathakali) popularization. His mathematical interests include game theory, graph theory, optimization principles etc. Over the past several years he has acquired practical knowledge and experience in various cutting-edge software engineering methodologies including Agile framework and has experience formulating and implementing various software engineering principles using Agile for large and small product development teams. Dr Iyer is active in doing practical industry-oriented research on the above topics of his interest. He also aspires to do research on technological innovations to popularize traditional classical arts such as Kathakali and Koodiyattam. He has published two book chapters in the “Encyclopaedia for Cloud Computing” in 2016 in addition to several book chapters, journals and conference publications. Dr. Iyer has delivered several practical workshops and talks on various cutting-edge technology topics in many academic and industry events in several countries including USA, Europe, Australia and Asia. Many of these were on the contributions made by him in his industry engagement for software quality analysis with current day software engineering principles such as Agile for application development involving cloud platforms, mobile platforms and IoT based systems. Dr Iyer is an IEEE Senior Member. He has been a reviewer of many internationals Journals including IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and several international conferences. He was also the program chair for several international conferences including ICCCI and ICIWE. Dr Iyer has strong teaching skills and boundless passion for teaching. He was a visiting faculty at IIIT-H (International Institute of Information Technology Hyderabad), and has been teaching various subjects including “Game Theory for Computer Science”, “Computer Networks”, “Advanced Computer Networks” and “Scripting and Computer environments” for which, he has framed the syllabus, developed the materials and references, structured the grading scheme and formulated continuous assessment strategies. Further, he was a member of Board of Studies at JNTU-H (a premium university in India) where he participates in framing the syllabus for the university’s upcoming academic year. He is also an expert in performing Kathakali, a traditional Indian dance. He has composed a story in Kathakali and he spends a considerable amount of his personal time to uplift this traditional art by organizing Kathakali performances, workshops and demonstrations and performance by himself. He has also composed a Kathakali story “Sri Mookambika Mahathmyam” which has been staged in multiple venues in India.

    Dr Lu Weiquan

    Dr Lu Weiquan

    Dr Lu Weiquan is a Senior Lecturer at the School of Computing in NUS who examines the User Experience (UX) Design of technologically-empowered learning environments. He designs and utilizes experiential learning technology (such as simulations, Augmented and Virtual Reality) in the courses he teaches, and his education research interests include figuring out how all this technology tangibly and measurably affects human learning using Machine Learning and Artificial Intelligence. He also advises the government in the fields of UX design and experiential learning, and he develops Metaverse applications for industry clients. He holds a B.Comp. in Computing and a Ph.D. in Electrical and Computer Engineering from NUS.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$5,787.90 S$2,247.90 S$5,787.90 S$2,247.90 S$19,293.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within an advanced professional certificate to be eligible for SSG funding.
    3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

    Advanced Computing for Executives

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Email: soc-ace@nus.edu.sg

    Facebook-f Linkedin Instagram Youtube Tiktok

    terms and conditions  

    course catalogue  

    Registration Guides  

    About us

    Programmes for individuals     

    Solutions for organisations  

    ONLINE LEARNING