FlexiMasters in Business AI and Technology

In today's rapidly evolving business landscape, the integration of Artificial Intelligence (AI) and cutting-edge technology is not just an advantage but a necessity. The 5 advanced business courses within the FlexiMasters in Business AI and Technology are designed to equip professionals with the knowledge and skills to harness the power of AI and technological innovations to drive business success.

By the end of this programme, participants will be well-equipped to lead AI initiatives, drive technological transformation, and create a significant impact in their organizations and industries through the development and implementation of AI strategies to improve decision making, operational efficiency and competitive advantage. 

ModuleObjective

AI FinanceEmpowering Businesses through AI, GPT, Cloud Agility and Cyber Security Design

This course covers the fundamentals of deep learning, GPT models, and cloud computing for business applications. Learners will learn about neural networks, deep learning architectures like Convolution Neural Network (CNN) and Recurrent Neural Network (RNN), and the use of GPT models for text generation. They will also gain practical experience in leveraging cloud platforms for scalable training and deployment.

Real-world business applications, including predictive analytics and sentiment analysis, will be explored. Through hands-on projects, learners will develop the skills to apply these technologies to drive innovation and make data-driven decisions in a business context including cyber security. By the end of the course, participants will be equipped with the knowledge and practical skills to leverage deep learning, GPT, and cloud technologies to develop innovative solutions, optimize business processes, and gain a competitive edge in the rapidly evolving digital landscape.

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

  • Write codes to solve business problems (case study) programmatically by creating AI models using Python, Keras, cloud, GPT and Application Programming Interface (API).
  • Manage data to sufficiently derive, communicate analytics outcome and eventually create AI model in Business.
  • Implement a simple system in cloud including engineering work in implementing AI model in Business.
  • Gain an in-depth understanding of business modelling concepts including lower the cost and increase revenue using AI through quantitative analysis: assess their ability to use data and analytics to support their strategies. They should be capable of performing cost-benefit analyses, forecasting, and other quantitative evaluations to justify the use of AI in business modeling.
  • Demonstrating the usage of data mining techniques like regression and decision trees in relevant situations involves applying these techniques to analyze data and extract meaningful insights, which can then be used to inform decision-making.
  • Assess the cybersecurity landscape, identify threats and vulnerabilities, and apply security controls to reduce the chances of cyber-attack by 50%.

AI graphBeyond Numbers: Formulating a Visionary Analytics Strategy

Machine Learning has transformed businesses, societies, and governments. This course will explain the important ideas, concepts and techniques in real world applications and understand how Machine Learning impacts the world.

This course is application-centric and uses business strategy as the common purpose driving machine learning techniques and applications. Place real world applications as the primary role and re-establish the original purpose of Machine Learning – to serve humans and society, participants will be able to apply and lead Machine Learning projects to make better decisions in their area of work.

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

  • Extract insights from AI and Machine Learning results to improve organizational performance and decision-making.
  • Evaluate Machine Learning Model Performance.
  • Present insights from Machine Learning in a strategic manner.

AI VisualThe Data Edge and Visual Story Mastery

Data is integral to businesses and organizations. This course discusses business data management, data access, and business visualization for professionals with little to no technical knowledge of database software.

Building upon the foundation of data management, the course then delves into the art of visual storytelling. Students will explore various visualization techniques and tools to transform raw data into compelling narratives. They will learn how to choose appropriate visual representations, such as charts, graphs, maps, and infographics, to effectively communicate data-driven insights to different audiences.

The course is meant for middle-level and senior managers of firms who need to understand and make strategic decisions about their technology investments within their firm. The course also serves dual roles of presenting the importance of data on business decision making and of demonstrating ways that visualization can effectively augment business decisions.

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

  • Explain the differences between Structured Query Language (SQL) and Non-relational Database (noSQL) databases.
  • Perform data querying on MySQL and MongoDB databases.
  • Identify business needs and recommend suitable visualization techniques.
  • Apply concepts and frameworks from the course material to problems and decisions faced in their own organization, to help make better strategic decisions.
  • Apply concepts to cases and make coherent arguments about the pros and cons of a digital solution to a problem, typically faced within an organization.

AI AutomationAI Powered Media and Automation

This course provides essential concepts and principles of Artificial Intelligence (AI) to help learners understand potential applications and other issues related to AI media (e.g., image and video editing, multimedia applications), deep learning, machine learning and automation. Learners will also have the opportunity to learn how to work with the popular RPA tool, UiPath, enabling them to learn how to automate processes.

Participants will acquire the skills and knowledge necessary to automate processes, increase efficiency, and drive productivity in order to achieve cost savings and gain a competitive advantage.

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

  • Explain essential concepts and principles of AI media and automation and apply their awareness of the potential applications and risks in their decision-making.
  • Describe fundamental concepts and principles of RPA, including its benefits, use cases and limitations.
  • Design and deploy automated processes for repetitive tasks using UiPath as an RPA tool

AI for commerceTransformative Commerce: E-Business Strategies for Digital Success

This course is about understanding and ultimately surfacing patterns of IT-driven change and strategies.  The teaching will be through case study discussions of multiple companies in varied industries through which participants will understand how IT is reshaping the economic landscape by offering new ways to gather information, compete based on value-added knowledge, and providing new ways to coordinate and connect. Most of the case studies pertain to online companies who in a short span of two decades have become dominant giants in their field. 

It will be a capstone for professionals who have learnt about individual technologies and now want to leverage them for business transformation. These professionals will span both technology and business roles and will be the key levers for change in their boundary-spanning roles.  

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

  • Evaluate technologies in terms of strategic and disruptive potential
  • Define the growth path and patterns of change related to existing and emerging technologies
  • Build a tool set of best practices about how leading companies have created value in the technology field
  • Examine the relationship of the technology field with different reference disciplines to know “how” and “why” technology impacts business
  • Provide you with better access to postgraduate-level training so you can personalise your learning pathway and upskill/reskill in a timely fashion.

  • Enable you to build on your experience, transit and prepare for a career shift, and become future-ready in an ever-changing employment market.

  • Earn credits that you can stack towards a postgraduate degree at Nanyang Business School, Singapore.

1. Our programme consists of five advanced business courses, worth a total of 15 academic units (AUs):

  • Five courses, each worth three AUs

2. Each course comprises:

  • 39-hours (including in-class component, online self-paced learning and assessment hours) 
  • You are required to attain a minimum of GP 2.5, a C+ grade equivalent, to be awarded the AU for each course

3. Mode of class delivery:

  • The default mode of delivery are in-person classes, with considerations for online classes when necessary

4. Upon graduating, the following qualifications will be awarded:

  • FlexiMasters will be awarded to students attaining 15 AUs, with a minimum GP of 2.5, a C+ grade equivalent, from each considered course
  • Graduate Certificate will be awarded to students attaining 9 AUs, with a minimum GP of 2.5, a C+ grade equivalent, from each considered course

While no pre-requisites are needed to enrol in the course/s, participants with relevant background and/or experience may have a better understanding of their course content.

The next intake for this programme will be in July 2025.

If an intake is fully enrolled, your application will be considered for the next available intake.

Updates to your application status will be sent to you at least 6 weeks before commencement of the programme.

As seats are limited, please send in your application early to avoid disappointment.

Module
Participant may use the NEW Top-up of $4,000
SkillsFuture Credit (Mid-Career) for only 2 Modules with *
Class Dates
AI Powered Media and Automation5 Jul, 12 Jul, 19 Jul, 26 Jul 2025
*Empowering Businesses through Artificial Intelligence (AI), Generative Pre-trained Transformer (GPT), Cloud Agility and Cyber Security Design
16 Aug, 23 Aug, 30 Aug, 6 Sep 2025
The Data Edge and Visual Story Mastery20 Sep, 27 Sep, 4 Oct, 11 Oct 2025
*Beyond Numbers: Formulating a Visionary Analytics Strategy25 Oct, 1 Nov, 8 Nov, 15 Nov 2025 
Transformative Commerce: E-Business Strategies for Digital Success
10 Jan, 17 Jan, 24 Jan, 31 Jan 2026


Programme Attendance

  • Successfully admitted participants have to commit to the published schedule.
  • The course duration is 30 weeks, with four Saturday classes per module.
  • All classes are held in-person only at the Lifelong Learning Institute (near Paya Lebar MRT) and NTU Nanyang Business School Gaia (for the last module) from 8.30am to 5.30pm.
  • No make-up classes for absentees.
  • Mandatory attendance is required for programme info session and details will be provided upon successful admittance into the programme.
  • Nanyang Technological University reserves the right to change the date, time, venue, and mode of delivery of classes due to unforeseen circumstances or prevailing government advisory.

FlexiMasters in Business AI and Technology can be stacked into MSc (Business Analytics) and similarly accredited under the following conditions:

  • Up to 6 academic units (AUs) of FlexiMasters may be transferred to an MSc (Business Analytics) for the following FlexiMasters courses: (i) Empowering Businesses through AI, GPT, Cloud Agility and Cyber Security Design; (ii) Beyond Numbers: Formulating a Visionary Analytics Strategy.
  • The AUs earned from a FlexiMasters course are valid for up to five years for transfer to a relevant/adjoining programme.

  • Credit transfers are by application only and will be assessed and approved by the relevant programme’s owners.
  • Transfer of credit eligibility will be reviewed by the postgraduate programme office upon application for a Master’s degree programme, subjected to all prevailing policies at NBS and NTU at that time. 
  • The minimum Grade Point eligible for transfer of credits is 2.5. However, some programme owners may recommend a higher Grade Point.

  • Academic units from a Graduate Certificate or FlexiMasters programme, approved for transfer of credits, will not be included in the Cumulative Grade Point Average for our Masters by Coursework programmes.

  • The course must not have been used for exemption/transfer of credits into another programme.
  • FlexiMasters Alumni who are successful Master's Programme applicants may enjoy course fee discount and subsidy schemes for the Master's programme.
Admission to Full Nanyang Business School Master’s Programme
Participants have to meet all required admission standards of the selected Master’s programme.
 Course Fees in SGD
 Fees BEFORE
funding & GST
Fees AFTER
funding & 9% GST
Singapore Citizens (aged 21-39) / PR (aged ≥21)
70% Funding
$25,000.00$8,175.00
Singapore Citizens (aged ≥40)
MCES1 - up to 90%
$25,000.00$3,175.00
SME-sponsored Singapore Citizens / PR
ETSS2​ - up to 90%
$25,000.00$3,175.00
​NTU Alumni
Fee payable after 70% SSG Funding and use of $1,600 **NTU Alumni Course Credits
$25,000.00$7,651.80

1. Under the SkillsFuture Mid-career Enhanced Subsidy (MCES) scheme. For more information, visit the SkillsFuture website here.
2. Under the Enhanced Training Support for Small & Medium Enterprises (ETSS) scheme. For more information, click here.

Singapore Citizens, aged 25 and above, and self-sponsored, may use their SkillsFuture Credit to defray full or part of the nett course fee.

Singapore Citizens, aged 40 and above, and self-sponsored, may use their NEW Top-up of $4,000 SkillsFuture Credit (Mid-Career) to defray full or part of the nett course fee only for FlexiMasters courses that can be stacked into the respective Master’s programme.

You can submit your SkillsFuture Credit claims by logging into MySkillsFuture.sg. Please click here for “How do I submit a claim for SkillsFuture credit?” and other FAQs.

Funding/Programme Requirements
- You must achieve a minimum of 75% attendance for each module.
- You must complete and pass all assessment components.

You do not need to contact SkillsFuture for funding before course registration. NTU will handle the funding paperwork for both self and company-sponsored applicants. You will be invoiced the nett amount after funding and GST.

Funding for courses is limited in duration and subject to the prevailing conditions of the funding agencies.

**NTU Alumni Course Credits
All self-sponsored NTU/NIE alumni may utilise their alumni credits of $1,600 to co-pay up to 50% of the nett fee (exclusive of prevailing GST) payable for courses offered by NTU-Continuing Education Training (CET) Units. It is your responsibility to inform us if you wish to utilize alumni credits before the start of the programme. For more info, please click here.

1. What is the course schedule and duration of the FlexiMasters programme?

Please look under ‘Course Schedule & Venue’ for the schedule and duration of the classes.

 

2. Will I be able to pursue more than 1 FlexiMasters programme?

There are no restrictions but it’s advisable to take up 1 FlexiMasters at a time as the schedule might overlap. Eventually, all of the applications will be reviewed by the Selection Committee.

 

3. I’m only interested in one of the modules in one of the FlexiMasters Programme. Will I be able to pursue that module?

FlexiMasters is a bundled programme. When you apply for a FlexiMasters programme, it will be considered that you’re applying for all the modules.

 

4. How will the credits earned from the FlexiMasters contribute to a NBS Master’s programme?

FlexiMasters is a stackable programme where credits earned are eligible for credit transfer to a NBS Master’s programme. However, participants are required to meet the admission standards of their selected NBS Master’s programme. For more information about the NBS Master’s Programme, you may visit this link: https://www.ntu.edu.sg/business/admissions/graduate-studies


5. What is the course assessment like?

Course assessment will differ from module to module. This will be determined by the respective teaching faculty. Assessment components will be shared upon successful admittance to the programme. Some of the assessment components may consist of Individual coursework, Group coursework, Quizzes and Class Participation.

 

6. When will the course outlines be made available?

Course outlines will be shared upon successful admittance to the FlexiMasters programme.

 

7. Can I still use my Alumni Credit? When does my Alumni Credit Expire? Can I check the balance of my Alumni Credit?

Kindly email to PACE regarding queries of your Alumni Credit:  [email protected]


8. Can I get a rough idea of the difficulty level?

These are advanced graduate Business courses embedded with academic rigour necessary for the academic units in the programme. Due diligence is required to pass the modules in the programme.

 

9. If I do not pass the course or any of its components, would the funding still hold? Or would it be revoked?

In the event you do not pass a course, you will not be eligible for funding. Hence, you will have to pay for any outstanding fees thereafter.

 

10. Will there be more details available on the course curriculum, such as the types of software being used and the specific topics covered in each module?

Once you have successfully enrolled into the programme, more information will be given to you regarding the modules.

 

Find out about the FlexiMasters route, the various subsidies and more here

  • An administrative fee may be imposed and there will be no refund of course fee for participants who withdraw from the programme after successful admission. 
  • Nanyang Technological University reserves the right to change the date, time, venue, and mode of delivery of classes due to unforeseen circumstances or prevailing government advisory.
  • All FlexiMasters programme registrations will be submitted to the NTU Academic Programme Admissions Committee. Registrants will be notified of their admission status prior to the start of the programme, and NTU will have the final decision on FlexiMasters programme admissions.
  • Nanyang Technological University will have the final decision on the mode of delivery for the class (either in-person or online) and participants will be notified accordingly.
  • There will be no make-up classes for absentees. 
  • Participants who wish to progress to a Master’s Programme upon attaining a Graduate Certificate or a FlexiMasters must submit a separate application for admission and the criteria for admission to the Master’s Programme would apply.