FlexiMasters in Business AI and Technology
Gain a competitive advantage with up to 90% SkillsFuture Funding - an exceptional opportunity unique to the NBS FlexiMasters
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 five 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 organisations and industries through the development and implementation of AI strategies to improve decision-making, operational efficiency and competitive advantage.
| Module | Objective |
|---|---|
| Master AI for business with this strategic, case-driven course designed to help you evaluate, lead, and seamlessly integrate Artificial Intelligence solutions into your organisation's workflows. You will learn how to develop a robust AI strategy, identify high-value business cases, and accurately assess the right models for your operational needs. Through hands-on training and practical demonstrations using top GenAI tools like ChatGPT and DeepSeek, you will master Generative AI integration alongside advanced analytics techniques, including predictive analytics and sentiment analysis. Finally, the course prepares you to navigate the critical landscapes of AI ethics, cybersecurity, and governance, equipping you with the practical skills needed to drive successful AI transformation across your enterprise safely. Learning Outcomes
|
| 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. By placing real-world applications as the primary role and re-establishing 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. Learning Outcomes
|
| Transform your raw data into a strategic asset with this foundational data management and business intelligence course, designed specifically for mid-to-senior managers with non-technical backgrounds. Build a robust AI-ready data strategy by mastering data access, storage, and the critical differences between SQL and NoSQL databases. Beyond data management, you will learn the art of data visualisation and visual storytelling—using charts, graphs, and infographics to effectively communicate complex insights to stakeholders. By mastering the core principles of data-driven decision-making, you will be equipped to evaluate technology investments, justify digital solutions, and prepare your enterprise for advanced AI-driven analytics. Learning Outcomes
|
| 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. Learning Outcomes
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| This course is about understanding and ultimately surfacing patterns of IT-driven change and the strategies that accompany them. The teaching will be conducted through case study discussions of multiple companies across various industries, enabling participants to understand how IT is reshaping the economic landscape by offering new ways to gather information, compete based on value-added knowledge, and provide innovative solutions for coordination and connection. Most of the case studies pertain to online companies that, 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. Learning Outcomes
|
Empowering Businesses through Artificial Intelligence (AI), Generative Pre-trained Transformer (GPT), Cloud Agility and Cybersecurity Design
Beyond Numbers: Formulating a Visionary Analytics Strategy
The Data Edge and Visual Story Mastery
AI-Powered Media and Automation
Transformative Commerce: E-Business Strategies for Digital Success
Bridging Business and AI Gap
"The FlexiMasters programme has empowered me to bridge the gap between emerging AI technologies and real-world business applications. It has sharpened my ability to lead and communicate AI initiatives effectively."
— Chief Information Officer, Chandra Wong
Integrating AI & Analytics in Manufacturing with the FlexiMasters
"The FlexiMasters empowered me to confidently use AI and analytics in finance and manufacturing. I can now build models, refresh dashboards, and collaborate with IT to drive smarter, data-driven decisions."
— Finance Professional, Geraldine Tay
- 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, transition 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 is 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
- A 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.
Registration for the July 2026 intake has opened (apply here).
| Module | Class Dates |
|---|---|
| Beyond Numbers: Formulating a Visionary Analytics Strategy | 4 Jul, 11 Jul, 18 Jul, 25 Jul 2026 |
Empowering Businesses through Artificial Intelligence (AI), Generative Pre-trained Transformer (GPT), Cloud Agility and Cybersecurity Design | 15 Aug, 22 Aug, 29 Aug, 5 Sep 2026 |
| The Data Edge and Visual Story Mastery | 19 Sep, 26 Sep, 3 Oct, 10 Oct 2026 |
| AI-Powered Media and Automation | 24 Oct, 31 Oct, 14 Nov, 21 Nov 2026 |
Transformative Commerce: E-Business Strategies for Digital Success | 9 Jan, 16 Jan, 23 Jan, 30 Jan 2027 |
Important Notes
- 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 the programme commences.
- As seats are limited, please send in your application early to avoid disappointment.
- The last module will be held at NTU Nanyang Business School.
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, from 8.30am to 5.30pm at the Lifelong Learning Institute (near Paya Lebar MRT). Only the last module will be held at NTU Nanyang Business School.
- No make-up classes for absentees.
- Mandatory attendance is required for the programme info session; details will be provided upon successful admission to 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 advisories.
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) from the five courses of FlexiMasters may be transferred to MSc (Business Analytics).
- The AUs earned from FlexiMasters courses are valid for up to five (5) years for transfer of credits to a relevant/adjoining Master's programme.
- Transfer of credits is by application and will be assessed and approved by the relevant Programme 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. The Programme Owners may recommend a higher Grade Point.
- AUs from Graduate or FlexiMasters Certificate that are approved for transfer of credits will not be included in the computation of Cumulative Grade Point Average for the Master’s programme.
- 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.
Participants have to meet all required admission standards of the selected Master’s programme.
| Full Programme Course Fees in SGD (fees and funding quoted below are subject to revision) | ||
|---|---|---|
| Fees BEFORE funding & GST | Fees AFTER funding & 9% GST | |
| Singapore Citizens (aged 21-39) / PR (aged ≥21) Up to 70% SSG Funding | $25,000.00 | $8,175.00 |
| Singapore Citizens (aged ≥40) MCES1 - Up to 90% SSG Funding | $25,000.00 | $3,175.00 |
| SME-sponsored Singapore Citizens / PR ETSS2 - Up to 90% SSG Funding | $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 |
2. Enhanced Training Support for Small & Medium Enterprises (ETSS) Scheme
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 Singapore (SSG) to apply for the above funding. Upon your successful admission to the programme, NTU will handle the funding administrative for all applicants. Billing is by module on the nett amount after funding and GST. Full payment is to be made before the start of module.
SSG funding is limited in duration and subject to the prevailing conditions of the funding agencies.
SkillsFuture Credit
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.
You may check your SkillsFuture Credit balance by logging into MySkillsFuture.sg.
**NTU Alumni Course Credits
All self-sponsored NTU/NIE alumni may utilise their Alumni Course Credits (ACCs) as direct discounts on the course fee before any applicable eligible funding is applied.
For more info on ACCs, please click here.
1. What are the benefits of going through this pathway as compared to entering straight into a master's in business analytics?
The FlexiMasters pathway offers a modular and flexible approach, allowing participants to upskill while balancing professional commitments. Credits earned can be stacked towards the relevant NBS MSc in Business Analytics, upon meeting admission requirements. This approach supports long-term growth in AI for business, enabling professionals to earn valuable AI certifications and academic credentials without an immediate commitment to a full degree.
2. Can credits from both the FlexiMasters in Business AI and Technology and the FlexiMasters in Business and Financial Analytics be stacked toward a Master’s in Business Analytics? If I complete both, will I gain a higher number of transferable Academic Unit (AU) credits, and what exactly distinguishes these two tracks?
Both the FlexiMasters in Business and Financial Analytics (BFA) and the FlexiMasters in Business AI and Technology (BAIT) provide stackable credits towards the NTU MSc in Business Analytics. By completing both programmes, students may accumulate more Academic Units (AUs) that can be applied towards a Master’s in Artificial Intelligence or related postgraduate pathways.
3. As I noticed a coding component in the curriculum, would I still be eligible to enrol even if I have no prior programming experience?
Absolutely. While modules such as 'Empowering Businesses through AI, GPT, Cloud Agility, and Cybersecurity Design' do involve coding, they are designed to be accessible to those without a technical background. These units are specifically tailored for professionals looking to integrate AI into business strategy or prepare for advanced AI degree programmes. The curriculum emphasises practical business applications and industry relevance, providing ample instructor-led support to ensure all students can keep pace regardless of their starting point.
4. How will the credits earned from the FlexiMasters contribute to an NBS Master’s programme?
FlexiMasters is a stackable programme where credits earned are eligible for credit transfer to an 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 Credits? When do my Alumni Credits expire? Can I check the balance of my Alumni Credits?
Kindly email PACE regarding queries of your Alumni Credits: [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.
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