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Professional Certificate

Professional Certificate in Data-Driven Business Decisions and FinTech Strategies

Programme Structure


Course NameCourse ScheduleMode of DeliveryTGS Reference Number
Making Fast Decisions with Business AnalyticsTo be advisedSynchronous e-LearningTGS-2025057473
Optimizing Customers’ Experience with FinTech StrategyTo be advisedSynchronous e-LearningTGS-2025057494
Using Business Analytics to Answer Business QuestionsTo be advisedClassroom LearningTGS-2025057598
 To be advisedSynchronous e-LearningTGS-2025057604
Fundamentals of Investing Leveraging TechnologyTo be advised Synchronous e-LearningTGS-2025057558
  • Duration: 6 days
  • Please click on the individual courses for more details.

Programme Overview

In this course, you will learn how to identify strategic business questions, acquire data, propose next actions, and monetise the impact of data-driven decision making in the business world. At the end of the programme, you will be equipped with the practical skills of data visualisation and fundamental understanding of machine learning in the industries of Finance, Retail and Supply Chain.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Provide a foundational understanding of Business Analytics and its application in decision-making.
  • Develop the skills to analyse data, derive insights, and effectively communicate findings to stakeholders
  • Understand the importance of Customer Experience, learning innovation behaviors, applying Human-Centered Design principles, embracing experimentation
  • Explore emerging technologies to enhance customer satisfaction and drive business growth in the FinTech sector
  • Provide a foundational understanding of utilising business intelligence and data analytics to answer business questions.
  • Effectively leverage data to gain insights and make informed business decisions.
  • Learn to navigate financial markets, understand the fundamentals of investing, make informed investment decisions, and leverage technology to support their investment strategies.
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Funding Available

  • SkillsFuture Funding
  • SkillsFuture Credit
  • Enhanced Training Support
  • SFEC
  • PSEA

    • Instructors


    Ms Samantha Sow

    Ms Samantha Sow

    Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics. She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning. Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore. Her certifications include: Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.

    Mr Shashank Shekhar Tripathi

    Mr Shashank Shekhar Tripathi

    Mr Shashank Shekhar Tripathi is an Instructor at the Department of Information Systems and Analytics (DISA) at the School of Computing, National University of Singapore. He teaches “Application development for business analytics” and “Systematic trading” to the undergraduate students. He holds the designation Chartered Market Technician (CMT)and Certified Financial Technician(CFTe) . Prior to this, Shashank worked as a Senior Software Engineer at the NUS Fintech Lab where he worked on developing applications related to financial technology. He has a vast experience in oil and gas industry in the domain of corporate finance, financial evaluations, and simulations. He has a huge interest in financial markets, blockchain technology and data analytics. He researches extensively to design, develop and test strategies for algo trading utilising machine learning, fundamental analysis, and technical analysis. He is an experienced trainer and consultant of data visualization, robotic process automation, and algo trading.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$3,245.00 S$2,145.00 S$3,245.00 S$2,145.00 S$5,995.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
    3. The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
    4. Maximum Candidature Period: Candidates who enrol for the professional certificates must complete the programme within three years from the start of their course. 
    5. For more information on class cancellations and refunds, please visit our Terms and Conditions page. 

    NOTE
    We are moving towards offering a new portfolio of programmes. We will discontinue the offering of Advanced Professional Certificates (APCs) and Professional Certificates (PCs) by June 2026. Only a selected number of individual courses will continue to be offered. Please direct all enquiries to socx@nus.edu.sg