Advanced Certificate in Applied Automation in the Digital Economy Module 1: Introduction to Automation in the Digital Economy
- Analytics & Tech
- Finance & Investment
- Innovation & Business Improvement
This module is conducted in-person.
2 Full Days (Weekdays)
Who Should Attend
- Professionals across industries interested in leveraging automation technologies for organisational digital transformation, especially those involved in business process optimisation, technology implementation, and strategic decision-making.
PREREQUISITES
There are no prerequisites for this programme. Prior knowledge on any of the topics is not required.
Overview
Module 1 provides a comprehensive overview of automation and its role within the digital economy, equipping learners with foundational knowledge and practical insights. Key topics covered encompass an understanding of automation's concept, evolution, and its pivotal role in driving efficiency and innovation. Additionally, the module delves into key technologies such as artificial intelligence, machine learning, robotics, and process automation that underpin automated systems. Through analysis of automation's impact on various industries such as manufacturing, healthcare, finance, and logistics, participants gain valuable insights into its transformative potential. Furthermore, ethical considerations surrounding automation adoption, including job displacement concerns and societal impacts, are critically examined. Lastly, participants explore future trends in automation, including the rise of autonomous vehicles, smart cities infrastructure development, and the burgeoning field of human-robot collaboration, empowering them to anticipate and leverage emerging opportunities in the digital economy.
Learning Objectives
At the end of the 2-day module, participants will be able to:
- Understand the fundamental concepts and principles of automation in the context of the digital economy
- Identify key technologies and tools used in automation within the digital economy, such as robotic process automation (RPA), artificial intelligence (AI), and machine learning
- Analyse real-world case studies to demonstrate how automation is transforming industries and business processes in the digital economy
- Evaluate ethical considerations and potential societal impacts of widespread adoption of automation technologies in the digital economy
- Develop a strategic mindset for leveraging automation to drive innovation, efficiency, and competitive advantage within organizations operating in the digital economy
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$654 (After SSG Funding 70%) |
$254 (After SSG Funding 70% |
$654 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
|
International Participant |
$2,180 (No Funding) |
$2,180 (No Funding) |
$2,180 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
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