Program Overview

Overview of University Programs

The university offers a range of programs designed to build capabilities in infocomm and digital business. These programs are categorized into several areas, including Executive Education, Graduate Programmes, Stackable Programmes, Blended Learning Programmes, and Corporate Programmes.

Executive Education

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

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 offers various certificates, including:

• 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 Programmes

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

Corporate Programmes work with organizations to provide contextualized workplace training or customized learning experiences for employees. The program offers:

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

Practice Module for Intelligent Robotic Systems

The Practice Module for Intelligent Robotic Systems is part of the Graduate Certificate in Intelligent Robotic Systems. The module has two parts:

1. Practice Project: Participants undertake one or more projects to gain practical experience and demonstrate their understanding and mastery of the skills taught in the three component courses.
2. Examination: Each participant is required to sit for an examination on a stipulated date and time.

Objectives

The objective of the practice module is twofold:

• To expose participants to real-world problems so that they may practice the use of the skills they have learned during the component courses in a holistic manner.
• To enable participants to demonstrate their proficiency across all the skills that they have learned in the course modules and hence obtain a grade at the Graduate Certificate Level.

Intended Audience

This practice module is targeted at participants who wish to complete the certification process for the Graduate Certificate in Intelligent Robotic Systems.

Prerequisites

Participants must have successfully obtained a competent score (or have been exempted) from the three component courses for the Graduate Certificate in Intelligent Robotic Systems.

Components

The practice module consists of two parts:

1. Practice Project: Participants will need to undertake one or more projects to gain practical experience and demonstrate their understanding and mastery of the skills taught in the three component courses.
2. Examination: Each participant is required to sit for an examination on a stipulated date and time.

Typical Examples of Projects

• Problem description: Autonomous flight formation control for multiple drones while tracking the same target.
• Deliverables and success criteria:
  • Identify the business requirement or real-world need
  • Identify the current systems, approaches, and/or models used and their limitations
  • Formulate the requirement, approach, and/or model required to address the need and current limitation(s)
  • Perform modeling and simulation of the proposed method to get results
  • Compare performances of the results with the state-of-the-art
  • Discuss the work done and its implications
  • Identify the limitations in your work and how to address them in future
• Problem description: Robotic grasping is an essential ability for automated robotic applications, such as the picking and sorting of items in recycling activities.
• Deliverables and success criteria:
  • Identify the business requirement or real-world need
  • Identify the current systems, approaches, and/or models used and their limitations
  • Formulate the requirement, approach, and/or model required to address the need and current limitation(s)
  • Perform modeling and simulation of the proposed method to get results
  • Compare performances of the results with the state-of-the-art
  • Discuss the work done and its implications
  • Identify the limitations in your work and how to address them in future

Application

Eligible participants will be contacted one week after application closure. Participants are only allowed to take the practice module after completing all courses in the Grad Cert. Participants who wish to take the practice module concurrently in the same semester with the courses in the same Grad Cert must write to the administration citing reasons by the application deadline. Email requests received after the deadline will not be considered. Requests will be reviewed after the deadline and approved on a case-by-case basis. Participants who miss the application window will have to apply for the practice module in the next semester. Participants who do not attend the briefing will be withdrawn from the practice module.