FlexiMasters in Accounting Analytics and Digital Forensics Programme Overview

As the accountancy sector continues to transform, accounting professionals must upskill so that they can harness emerging technologies like AI, machine learning and data analytics to greatly enhance efficiency and deliver real-time insights to assist in decision making and fraud detection.

The FlexiMasters in Accounting Analytics and Digital Forensics course aims to equip current and aspiring accounting professionals with in-demand skills such as AI programming (including Python and R), data analytics, data visualization, forensics accounting and digital forensics. Attending this course is also a pathway for you to enter a Master of Science in Accountancy (with Data Analytics specialization) at Nanyang Business School.

 


ModuleObjective

Analytics Strategy and Techniques

Analytics Strategy and Techniques

Analytics, Data Science and Machine Learning are transforming business, societies, and governments. In this module, you will learn the important concepts and techniques with real world applications and understand how data-driven strategy impact the world.

Learning Outcomes

  • Appreciate the real-world applications of analytics, data science and machine learning
  • Implement data analytics to generate business insights and strategy.
  • Extract meaningful patterns and insights from data to improve organizational performance and decision-making.
  • Present patterns, trends, meaning, and insights from data and analytics in a strategic manner.

AI in Accounting & Finance

AI in Accounting & Finance

Expand your digital literacy with analytical thinking, critical thinking and reasoning skills. In this module, you will create state-of-the-art predictive and prescriptive analytics models with AI that will help automate the processes in accounting and finance. You will also learn how to configure Google Cloud system for implementing AI models.

Learning Outcomes

  • Write code to solve accounting, finance and business problems through programming, by creating AI models using R, Python, Keras, Hadoop, Spark and API.
  • Manage data to sufficiently derive, communicate analytics outcomes and eventually create AI models in accounting and finance.
  • Implement a simple system in Google Cloud including engineering work in implementing AI models

Investigative Forensics Accounting and Digital Forensics

Investigative Forensics Accounting and Digital Forensics 

The module will introduce you to the concept of forensic accounting, as well as various investigation techniques and tools. You will explore how investigative analytics are applied to identify red flags and unusual activities, support/dismiss allegations and deliver meaningful insights.

Using real-life cases and hands-on learning approach, you will learn the practical application of tools and technologies in a fraud investigation.

Learning Outcomes

  • To understand the fundamental concepts of forensic accounting and investigation and digital forensics.
  • To understand and discuss various forensic investigation techniques, analysis and reporting
  • To equip participants with practical problem-solving skills through hands-on exercises, group discussions of case studies and investigation simulation

Accounting and Audit AnalyticsAccounting and Audit Analytics

To improve organisational performance and understand the implications for decision-making, accountants and auditors need to extract meaningful patterns and insights from data to provide better insights into a firm, client, customer, supplier, etc. 

In this module, you will learn practical aspects of the analytics process using data analytics tools and techniques widely adopted by international audit firms, and demonstrate the application of accounting and audit analytics through visualisation of the results.

Learning Outcomes

  • Describe what is data analytics in accounting and audit.
  • Apply basic skills on auditing, investigation and fraud detection using Microsoft Excel and IDEA, a data analysis software.
  • Apply basic skills with a data visualisation tool like Tableau to develop insights in accounting and audit.
  • Evaluate the practical considerations when applying data analytics in accounting and audit.

Predictive Analytics: A Managerial Emphasis

Predictive Analytics: A Managerial Emphasis

Using business cases, you will learn to see the managerial perspective in developing a business analytical case to obtain the explanatory or predictive results. You will develop skills in drawing inferences from data by using statistical and data mining tools to guide decision making for various business problems such as financial statement fraud detection, analysis of internal controls deficiencies, credit risk analysis, customer segmentation, forecasting and trend analysis.

Learning Outcomes

  • Formulate business problems in data analytics.
  • Apply different statistical applications and tools in various business contexts.
  • Facilitate strategic decision-making on an organisation’s financial position by collating, verifying and interpreting financial data of the organisation over time
  • Extract meaningful patterns and insights from data to improve organisational performance, decision-making, predicting trends and business planning

      • 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:

        • An online 9-hour self-paced component
        • A 30-hour in-class component, over four weekends
        • You are required to attain a minimum of GPA 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 GPA of 2.5, a C+ grade equivalent, from each considered course
        • Graduate Certificate will be awarded to students attaining 9 AUs, with a minimum GPA of 2.5, a C+ grade equivalent, from each considered course
        • While no pre-requisites are needed to enroll 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 September 2025

        More information on the course schedule will be available later.

        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 at 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 Accounting Analytics and Digital Forensics can be stacked into the Master of Science in Accountancy (with Data Analytics specialization) and similarly accredited under the following conditions:

        • Up to 4.5 Academic Units (AUs) of FlexiMasters may be transferred to MSc Accountancy with Data Analytics specialisation (2 courses equivalent). The 2 courses are as follows:

          - AI in Accounting and Finance
          - Investigative Forensic Accounting and Digital Forensics

        • The academic units earned from FlexiMasters are valid for five (5) years for transfer of credits to a relevant/adjoining Master's by Coursework programme.

        • Transfer of credits is by application and the application will be assessed and approved by the 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.

        • Academic units from Graduate Certificate or FlexiMasters programme that are approved for transfer of credits will however not be included in the computation of CGPA for the Master's by Coursework 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 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
        $22,500.00 $7,357.50
        Singapore Citizens (aged ≥40)
        MCES1 - up to 90%
        $22,500.00 $2,857.50
        SME-sponsored Singapore Citizens / PR
        ETSS2​ - up to 90%
        $22,500.00$2,857.50
        NTU Alumni
        Fee payable after 70% SSG Funding and use of $1,600 **NTU Alumni Course Credits
        $22,500.00$6,834.30

         

        1. For more information about the SkillsFuture Mid-career Enhanced Subsidy (MCES) scheme.
        2. For more information about the Enhanced Training Support for Small & Medium Enterprises (ETSS) scheme.

        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/ProgrammeRequirements
        - 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.

        **NTU Alumni Course Credits
        All 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 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.
          For for information about this course, please contact us at  [email protected].