FlexiMasters in Business and Financial Analytics Overview

Gain a competitive advantage with up to 90% SkillsFuture Funding - an exceptional opportunity unique to the NBS FlexiMasters

FlexiMasters in Business and Financial Analytics course is offered by Nanyang Business School, Singapore,  as part of the FlexiMasters series launched by Nanyang Technological University, Singapore (NTU Singapore).

You will be able to gain insights on how to excel in the domain of business analytics and financial analytics used in the financial services industry and acquire skills to guide businesses through today’s environment of digital disruption and transformation. 

Programme Ambassador

Serena Mok

Peer learning in the FlexiMasters

"My perspectives have widened, in the sense that I understand more about the other areas that I am previously unfamiliar about, and I am no longer limited to what I have studied.”

— Manager, Serena Mok

Vincent Chen | FlexiMasters in Business and Financial Analytics

Application of knowledge at work

“The structure and curriculum of the course are well-organised, and the programme gives me the right amount of upskilling in analytics that equips me with the relevant knowledge and practical skills to pivot to a career within the digital economy. The exposure to these analytics tools helped boost my domain knowledge in the Financial Services industry, and better my position for my career.”

— Business Analyst, Vincent Chen

Key Benefits

  • 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.

How FlexiMasters in Business and Financial Analytics Works

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

  • Three courses, each worth four AUs
  • One course, worth three AUs 

2. Each course comprises:

  • An online 9-hour self-paced component for the single 3-AU course and an equivalent 22-hour component for the four 4-AU course
  • A 30-hour in-class component, over four weekends
  • 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

Admission Requirements

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.

Course Schedule and Venue

The next intake for this programme will be in March 2026.

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
Class Dates
Data Management and Visualization7 Mar, 14 Mar, 28 Mar, 4 Apr 2026
AI and Analytics Technologies in Enterprise18 Apr, 25 Apr, 9 May, 16 May 2026
Design Thinking, Blockchain Technology Management and Cybersecurity 
4 Jul, 11 Jul, 18 Jul, 25 Jul 2026
AI and Analytics in Finance, Credit and Related Risks
15 Aug, 22 Aug, 29 Aug, 5 Sep 2026  

Programme Attendance
  • Successfully admitted participants have to commit to the published schedule.
  • The course duration is 24 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) and the last day of class on 5 Sep 2026 at NTU Nanyang Business School Gaia.
  • 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.

Programme Curriculum

ModuleObjective
AI and Analytics Technologies in Enterprise

AI and Analytics Technologies in Enterprise

Analytics, machine learning, and Artificial Intelligence (AI) are critical building blocks in value creation for any organization or industry, yet managing them is a complex endeavour. This presents huge opportunities to harness the power of analytics and machine learning, explore and exploit business problems, and turn them into the solution.

This course introduces the concept of analytics with machine learning and how a business can embed and embrace them in its operation.

Learning Outcomes:
  • Understand the basic of analytics and machine learning and how     they are relevant to business.
  • Understand the elements of machine learning and the steps in developing machine learning capability.
  • Construct machine learning solution for a given problem.
  • Manage the use of analytics and machine learning to support business decision.
Data

AI and Analytics in Finance, Credit and Related Risks

In today’s fast-changing financial landscape, businesses must navigate growing risks while leveraging data-driven insights for smarter decision-making. This program equips professionals with the knowledge and tools to assess, mitigate, and manage financial and credit risks effectively, integrating AI-powered analytics to enhance decision-making and operational efficiency.

Participants will deeply explore financial and credit risk landscapes, from market volatility, regulatory compliance, and stress testing to credit scoring models and portfolio strategies. The course emphasizes real-world applications, helping professionals apply quantitative techniques, AI-driven insights, and automation to streamline risk assessment and improve financial resilience.

As the course progresses, participants will dive into AI-driven analytics, machine learning applications, and generative AI in finance. Through hands-on workshops, they will gain practical experience with AI and machine learning software tools for financial modeling, such as predictive risk assessment, credit evaluation, customer profiling, data synthesis and simulation. These interactive exercises will equip participants with the skills to effectively integrate AI-driven innovations into financial decision-making and risk management.

Learning Outcomes  
  • Interpret fundamental financial risk concepts, their interdependencies, and regulatory considerations, evaluating how data-driven approaches enhance risk management.
  • Apply credit risk assessment principles and quantitative techniques to analyze exposures, market dynamics, and decision-making in financial contexts.
  • Analyze risk mitigation strategies, portfolio management techniques, and scoring models to optimize financial risk management.
  • Design AI and data analytics solutions for financial modeling, decision-making, and automation, while considering ethical, regulatory, and operational implications.
Data Management and Visualization

Data Management and Visualization

Data has become integral to businesses and organizations. This course is built to bridge the gap between market talent demand and talent availability specific to business data management and business visualization.

The course serves dual roles of presenting the importance of data on business decision-making and of demonstrating ways that visualization can effectively augment business decisions.

Learning Outcomes
  • Equip with skills in solving data-related problems and designing visualization to augment business decision making. 
  • Equip with a strong conceptual and technical knowledge in database designing and implementation and developing visualization relevant to business. 
  • Understand how database support business processes and gather information for business analytics.
  • Apply knowledge and skills to analyze a variety of business process, identify data requirements, and create corresponding visualization strategies.
Design Thinking, Blockchain Technology Management and Cybersecurity

Design Thinking, Blockchain Technology Management and Cybersecurity

Design thinking has become increasingly popular in the world of business, with small and medium to large firms like P&G and SAP using and advocating it. Design thinking, emphasizing human-centred design and empathy-driven solutions, has been promoted widely by design firms like IDEO and Stanford University’s D School. It has now become a must-know tool for companies who are keen to grow and flourish through continuous innovation. The course will introduce you to the key principles of design thinking, utilizing relevant case studies.

It is also crucial for you to appreciate the core technical aspects of blockchain, especially when it promises to disrupt the current business landscape through consensus-driven decentralization of the traditional computing fabric. Concepts of blockchain will be discussed, examining the blockchain using cases and challenges related to its implementation.

With the proliferation of information and communication technology products and services, it is of paramount importance for everyone to understand the role of security and privacy in practice. Financial technology, data analytics, and digital transformation of businesses have immensely amplified the value of data, thereby demanding the appreciation of cybersecurity threats and privacy issues, in every sphere of business.

Learning Outcomes
  • Understand the key innovation skills necessary for leading firms
  • Apply fundamental concepts and principles of design thinking to the analytics domain 
  • Identify business opportunities in the AI and analytics domain
  • Generate business models to commercialize business opportunities in the AI and analytics domain 
  • Understand challenges associated with commercializing AI technologies
  • Introduction to the evolving blockchain ecosystem
  • Understand the underlying technological elements and workings of blockchain, use cases of blockchain, and challenges with using blockchain 
  • Understand the possible use-cases of blockchain
  • Acquaint with the cybersecurity risks in the business sphere
  • Understand the security and privacy mechanisms that can protect invaluable data in storage, transit, access and usage.

 

Pathway to NBS Master's Programme

FlexiMasters in Business and Financial Analytics can be stacked into an MSc (Business Analytics) at Nanyang Business School and is similarly accredited under the following conditions:

  • Up to 12 Academic Units (AUs) from the four courses of FlexiMasters may be transferred to an 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 for transfer of credits.

  • 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.

Admission to Full NBS Master’s Programme
Participants have to meet all required admission standards of the selected Master’s programme.

Fees and Funding

Course fee revisions are made to align to corresponding Master’s programme fees.

Course fee revisions are pending final approval from SkillsFuture Singapore (SSG).

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
1. Mid-Career Enhanced Subsidy (MCES) Scheme
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. Upon your successful admission to the programme, more information will be provided in the billing email on how to submit the claim using SkillsFuture Credit.

**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.

Upon successful admission to the programme, please inform the programme office if you wish to utilize ACCs. For more info on ACCs, please click here.

    FlexiMasters FAQs

    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:  pace@ntu.edu.sg


    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

    Terms and Conditions

    • 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.
      For more information about this course, please contact us at nbs_fleximasters@ntu.edu.sg.