Leadership Agility In The Digital Economy

Course Reference No: TGS-2020504043


Course Objectives

With immense technological advancement and an increasingly disruptive operating environment, the ability to anticipate and respond to rapidly changing conditions is at the forefront of most business leaders’ minds. To enjoy sustained success, organisations and teams require leaders who can develop an agile mindset to lead in an increasingly complex digital workplace.

The programme will enable learners to appreciate the importance of leadership agility and to lead effectively in the disruptive digital economy. Through an established framework, learners will examine their current level of leadership agility and develop it further to enhance their leadership effectiveness.

At the end of the course, participants will be able to:

  • Discuss the trends, opportunities and challenges in the digital age
  • Appreciate the importance of leadership agility and its impact on business
  • Develop leadership agility to lead effectively
  • Define team and organisation agility for business success


Day 1
  • Digitalisation trends in industry
  • Managing digital transformation
  • The need for leadership agility 
  • Types of leadership agility
  • Key domains of actions in leadership agility
Day 2
  • Leadership agility levels
  • Expert to catalyst
  • Characteristics of highly agile leaders
  • Define team agility for business performance
  • Embrace organisation agility culture for success 


At least 3 years of working experience as a manager

Who Should Attend

Senior Management, Senior Managers, Managers, and corporate executives on management track

Mode of Training



Dr. Amirhassan Monajemi


Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI and Machine Learning. He was born in 1968 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 University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Vision, Data Science, and IoT.

Dr. Monajemi has taught diverse computer courses for years, registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, published more than a hundred research papers in peer-reviewed, indexed journals, and supervised several Data Science, IoT, and AI industrial projects in various scales. He chaired the 1st International Conference on IoT, Applications and Infrastructure in 2017. He is mostly interested in Intelligent IoT, and has presented that topic in a few seminars and conferences. He also was the advisor of IKCO (Iran Khodroo Car Manufacturer, the largest in the middle east), and MSC (Mobarakeh Steel Complex, the largest in the country) enterprises in the field of IoT and Industry IV establishment.




2 Days
9.00am to 5.30pm


National University of Singapore
University Town

International Participants


Incl. GST

Singapore Citizens
(39 yrs old or younger) 


Singapore PRs


Incl. GST

Singapore Citizens
(40 yrs or older)


Incl. GST

Enhanced Training Support for SMEs


Incl. GST

Sign Up Now

Fees & Funding

Singapore Citizen1
39 years old or younger
Singapore Citizen1
40 years or older eligible for MCES2
Singapore PRs Enhanced Training
Support for SMEs3
Full Programme Fee S$1,700.00 S$1,700.00 S$1,700.00 S$1,700.00 S$1,700.00
SSG Funding
(Refer to Funding Page for Claim Period)
- (S$1,190.00) (S$1,190.00) (S$1,190.00) (S$1,190.00)
Nett Programme Fee S$1,700.00 S$510.00 S$510.00 S$510.00 S$510.00
7% GST on Nett
Programme Fee
S$119.00 S$35.70 S$35.70 S$35.70 S$35.70
Total Nett Programme
Fee Payable, Incl. GST
S$1,819.00 S$545.70 S$545.70 S$545.70 S$545.70
Less Additional Funding if Eligible Under Various Scheme - - (S$340.00) - (S$340.00)
Total Nett Programme Fee, Incl. GST,
after additional funding from the various funding schemes
S$1,819.00 S$545.70 S$205.70 S$545.70

Learners must fulfill at least 75% attendance and pass all assessment components, to be eligible for SSG funding.

  1. All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Visit http://www.skillsfuture.sg/credit to select the programme. 
  2. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. 
  3. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. Click Here for more information. 
  4. Eligible organisations (excluding government entities) may apply for the absentee payroll funding for Singaporean/permanent resident participants attending the programme during working hours. The absentee payroll funding is computed at 80% of hourly basic salary capped at $4.50 per hour or $7.50 per hour for SME. For more information, visit Enterprise Portal for Jobs & Skills
  5. Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit- WSG for more information..
  6. NTUC Training Fund (SEPs) – All self-employed (i.e. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). Click here for more information.
NTUC members enjoy 50% of the unfunded course fee support for up to $250 each year for courses supported under UTAP (Union Training Assistance Programme). Terms and Conditions apply. Please visit http://skillsupgrade.ntuc.org.sg
Sign Up Now
27 July 2021