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Professional Certificate

Professional Certificate in Data-Driven Business Decisions and FinTech Strategies

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Optimizing Customers’ Experience with FinTech StrategyTo be advisedSynchronous e-LearningTGS-2020504951
Making Fast Decisions with Business AnalyticsTo be advisedSynchronous e-LearningTGS-2020504952
Using Business Analytics to Answer Business QuestionsTo be advisedSynchronous e-LearningTGS-2020504947
Fundamentals of Investing Leveraging TechnologyTo be advisedSynchronous e-LearningTGS-2020504949
Duration 6 days

Programme Overview

In this course, you will learn how to identify strategic business questions, acquire data, propose next actions, and monetize 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 analyze 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 utilizing 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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Instructors


Ms Claudia Marcusson

Ms Claudia Marcusson

Ms Claudia Marcusson has over 20 years of financial industry expertise in investment management, insurance and banking having worked in the U.S., U.K., Germany, The Netherlands and Singapore. She worked in various leadership roles at Standard Chartered Bank, ING, NN Group, ABN AMRO, and State Street Bank to name a few. Since August 2022, Claudia is CEO of Germany’s very first crowdfunding platform issuing crypto securities of renewable energy projects. Claudia has been living in Singapore for 7 years where she joined Standard Chartered Bank in 2019 as Strategy & Innovation Lead building out the corporate venture arm and running entrepreneurship & innovation programs for the bank, partners and regulators. In 2021, she became Global Head of Client Experience Center where she led innovative co-creation programs with corporate clients worldwide. Claudia is a licensed instructor and expert in Human-Centred Design & Design Thinking, Lean Start-up, agile methods and a certified SCRUM Master. Since 2018, Claudia is an Adjunct Lecturer on emerging technologies, corporate innovation & entrepreneurship, digital transformation and sustainability at the National University of Singapore, and gives training to corporates and C-suite executives. She is also a guest lecturer at Singapore Management University and Singapore Academy of Law. She enjoys working closely with startups & scale-ups focused on FinTech and Sustainability as a Non-Executive Director, board advisor and mentor. She is an investment advisor to Venture Capital funds in Europe and Singapore and a mentor & advisor to several Accelerators in Singapore, Germany, Korea and India. Claudia holds an LL.M. degree in Chinese Business Law as well as an M.Sc. in Economics and Operations Research.

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 utilizing machine learning, fundamental analysis, and technical analysis. He is an experienced trainer and consultant of data visualization, robotic process automation, and algo trading.

Dr Justin Chan

Dr Justin Chan

Dr Justin Chan is the founder and CEO of JCube Capital Partners, a multi-faceted investment management company with Capital Markets Service license under the Monetary Authority of Singapore (MAS). Besides, he is also the founder of DataDrivenInvestor (DDI) (and DDI Medium), home to 1.5 million monthly readers and writers worldwide in technology, finance, and entrepreneurship. DDI is also an application ecosystem empowering investors, technologists, and professionals with data, knowledge, and expertise in their quests for investment insights and opportunities. Dr Chan was a former quantitative strategist at Grantham, Mayo, Van Otterloo. A former researcher and published author in finance, Dr Chan specialised in microstructure, alternative data and behavioral finance, published in peer-reviewed finance academic journals, and was a research faculty at Singapore Management University. He received his Ph.D. in finance at UCLA Anderson School.

Programme Fees


Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
39 years old or younger 40 years old or older
S$1,798.50 S$698.50 S$1,798.50 S$698.50 S$5,995.00
  1. Total Nett Programme Fee Payable, Including GST, after additional funding from the 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. GST shall apply at prevailing rates.

Connect with us

11 Research Link
COM 3, #B1-07
Singapore 119391
Telephone: +65 6516 5523
Email: soc-ace@nus.edu.sg

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