Students
Tuition Fee
Start Date
2026-03-28
Medium of studying
Duration
4 days
Details
Program Details
Degree
Courses
Major
Mechanical Engineering | Robotics Engineering | Artificial Intelligence
Area of study
Information and Communication Technologies | Engineering
Course Language
English
Intakes
Program start dateApplication deadline
2026-03-28-
2026-04-04-
2026-04-11-
2026-04-18-
About Program

Program Overview


Overview of University Programs

The university offers a variety of programs designed to build capabilities in infocomm and digital business. These programs are categorized into several disciplines, including:


  • Artificial Intelligence
  • Cybersecurity
  • Data Science
  • Digital Agility
  • Digital Innovation & Design
  • Digital Strategy & Leadership
  • Digital Products & Platforms
  • Digital Sustainability
  • Digital Health
  • Software Systems
  • StackUp - Startup Tech Talent Development

Executive Education

Executive Education Programmes are designed to build capabilities in infocomm and digital business. The program includes:


  • Executive Education Course Planner 2025
  • Executive Education Course Planner 2026
  • Executive Education Flyer
  • Course Finder

Graduate Programmes

The university offers five practice-based graduate programmes focusing on information technology (IT) and data science. These programs include:


  • Graduate Diploma in Systems Analysis
  • Master of Technology in Artificial Intelligence Systems
  • Master of Technology in Digital Leadership
  • Master of Technology in Enterprise Business Analytics
  • Master of Technology in Software Engineering

Stackable Programmes

Stackable Programmes provide an alternative pathway to continuing education without disrupting one's career. The program includes:


  • Graduate Certificates:
    • Data Science
    • Digital Solutions Development
    • Artificial Intelligence
    • Smart Systems & Platforms
  • Professional Certificates:
    • Digital Leadership
    • Health Service Innovation
  • Professional Diploma:
    • Health Service Transformation

Blended Learning

The Blended Learning Programmes provide individuals with the flexibility to learn over their own time and pace while achieving their academic and career goals. The program includes:


  • About
  • Programmes
  • Digitalisation Passport

Corporate Programmes

The university works with organizations to provide contextualized workplace training or customized learning experiences for employees. The program includes:


  • Corporate Digitalisation
  • Active Learning for Problem Solving
  • International Programmes
  • Digital Academy Services
  • Internship & Job Placements
  • Skills For Transformation Programme

Human-Robot System Engineering

The Human-Robot System Engineering course is designed to equip engineers, decision-makers, and executives with the necessary knowledge and skills to develop and manage socially interactive robotics systems that can effectively collaborate with humans. The course includes:


Overview

The course is part of the Graduate Certificate in Intelligent Robotic Systems Series offered by NUS-ISS. Participants will learn to design human-robot interaction (HRI) modules, evaluate technical considerations, and develop integration roadmaps focused on user experience.


Course Content

The course covers various topics, including:


  • Introduction to Human Factors in Social Robots
  • Robot Operating System
  • Planning under Uncertainty with Markov Decision Process
  • Human Factors in Autonomous Driving
  • Controlled Experiment Design
  • Heterogeneous Human-Robot Interactive Systems
  • Human-Robot Interaction Design and Build Workshop

Who Should Attend

The course is suitable for:


  • Decision-Makers and Executives
  • Engineers and Technical Professionals
  • Professionals in fields requiring substantial human-robot interactions

Prerequisites

Participants should be competent in programming, preferably in Python, and familiar with basic robotics concepts and frameworks.


Course Logistics

The course is delivered over 4 days, with a minimum attendance rate of 75% required to receive a Certificate of Completion. Participants will have access to digital course materials and are required to bring an internet-enabled device to access and download course materials.


Certification

Participants who meet the attendance requirement and pass the assessment will be issued a Certificate of Completion.


Instructors

The course is taught by Dr. Xavier XIE, Senior Lecturer & Consultant, Artificial Intelligence Practice.


Join Us

The course is part of the Artificial Intelligence series and Graduate Certificate in Intelligent Robotic Systems Series offered by NUS-ISS. Participants can register for the course to elevate their capabilities in human-robot system engineering.


See More
How can I help you today?