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Advanced Professional Certificate

Advanced Professional Certificate in Business Analytics

Training Roadmap


Completion of Stages 1 to 3 curricula earns the participant an Advanced Professional Certificate in this programme.

Programme Objectives

This Advanced Professional Certificate will equip learners with the following competencies:

  • Learn what Business Analysis is & skillsets needed to be a Business Analyst.
  • Learn data structures and programming constructs in Python and have a strong foundation in Python programming.
  • Learn and apply the Python programming language for creating Machine Learning applications.
  • Understand big data and how big data analytics can help organizations achieve a competitive advantage.
  • Learn how to make strategic use of the data available in organizations.
  • Learn how to communicate data insights through effective data storytelling.

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively:

  • Business Analyst
  • Data Analyst
  • Data Engineer

Who Should Attend

Professionals who plan to be a Data Analyst/ Business Analyst that is capable of integrating Business, Customer and Technology to produce digital products that the market needs.

Prerequisites

At least a polytechnic diploma (or equivalent)

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Reserve Your Seat Now

Types of Available Fundings

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

    • Instructors


    A/Prof Danny Poo

    A/Prof Danny Poo

    A/Prof Danny Poo brings with him 35 years of Software Engineering and Information Technology and Management experience. A graduate from the University of Manchester Institute of Science and Technology (UMIST), England, Dr Poo is currently an Associate Professor at the Department of Information Systems and Analytics, National University of Singapore. Prior to joining the University, Dr Poo was with the System Operations at DBSBank, Singapore. A Steering Committee member of the Asia-Pacific Software Engineering Conference, Dr Poo is actively involved in Information Management and Healthcare Analytics research. A well-known speaker in seminars, Dr Poo has conducted numerous in-house training and consultancy for organizations, both locally and regionally. Dr Poo is the author of five books on Object-Oriented Software Engineering, Java Programming language and Enterprise JavaBeans.

    Dr Poo notable teaching credentials include:

    • Data Strategy
    • Data StoryTelling
    • Data Visualisation
    • Data Analytics
    • Machine Learning
    • Data Management
    • Data Governance
    • Data Architecture
    • Capstone Projects for Business Analytics
    • Software Engineering
    • Server-side Systems Design and Development
    • Information Technology Project Management
    • Health Informatics
    • Healthcare Analytics
    • Health Informatics Leadership.
    Industry Credentials
    • Deutsche Bank
    • Gemplus
    • Micron
    • NCR
    • PIL
    • PSA
    • Rhode-Schwarz
    • Standard Chartered Bank
    • ST Electronic
    • Monetary Authority of Singapore
    • Infocomm Development Authority
    • National Library Board
    • Ministry of Manpower
    • Nanyang Technological University
    • Nanyang Polytechnic
    • National University Hospital.

    Dr Ai Xin

    Dr Ai Xin

    Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience teaching Artificial Intelligence and Data Science courses such as machine learning, deep learning and data mining. She graduated from NUS with a PhD degree in Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks. She worked at BHP Billiton Marketing Asia for eight years, gaining extensive industry experience in various functions such as risk management, supply chain management, and sales and marketing planning.

    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications. He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.

    Mr Jim Lim Shien Min

    Mr Jim Lim Shien Min

    Mr Jim Lim Shien Min is the founder of 59stVentures, an organisation focusing on leveraging expertise, experiences and connections of senior technology executives to create a positive social impact for society. He is currently the APAC Head of Health Ecosystem with the Zuhlke Group where he is helping the company expand its offerings to healthcare ecosystem players regionally. Prior to this, Jim was leading NCS Healthcare’s business and was involved in a few Covid-related initiatives including Community Care Facilities and public health systems. Before Covid, Jim was the founding CEO for Good Doctor Technology, a joint venture between PingAn Good Doctor from China and Grab. He joined the company as its first employee to set up its businesses in Indonesia and Singapore. Jim is currently an adjunct lecturer at the National University of Singapore (NUS), Singapore University of Social Sciences (SUSS), Huawei University and the FinTech Academy. He also sits on the board of startup companies in China, Taiwan, Singapore and India. Before his tenure at Good Doctor, Jim served as the Global Senior Director within the Group Chief Transformation Office at Huawei Technologies. In this role, he acted as the Regional Chief Technology Officer for strategic digital transformation projects across the APAC region. His focus encompassed various industries, including Telecommunications and Smart Nation/City initiatives, as well as domains such as Cloud Computing and Big Data. Additionally, Jim contributed to aspects such as Business Modelling and Design Thinking. Prior to joining Huawei, Jim was the CBE (Client Business Executive) at Amdocs where he held full P&L responsibilities spanning sales, delivery and operations. He was with Amdocs for nine years and was previously the Senior Director, Business Strategy and Sales Engineering in APAC, who set up the regional delivery team and was responsible for all accounts presales and strategic business development activities within Amdocs APAC. Jim was Techmahindra Presales and Delivery Group Head for APAC who set up its regional delivery centers and presales teams. Jim also established partnerships with other vendors such as Huawei and Oracle while serving as Country Manager for Greater China. Prior to this role, Jim was a project and JV manager and a senior consultant at Accenture, with solid experiences in large-scale business transformation programmes in SingTel, Telekom Malaysia and Starhub. With over 24 years of consulting, advisory and ICT industry experiences in business, customer and project management, Jim brings his wealth of experience providing strategic, business and technological advice to global clients. Jim holds an MBA (Distinction) from Manchester Business School and a B. Eng (Hons) in Electrical and Electronics Engineering from Nanyang Technological University. He is also a certified Project Management Professional and a seasoned company spokesman for media and analysts. He is currently the Vice President for Cloud Security Alliance Singapore Chapter, a global mentor for PingAn Technology Innovation Center, an industry mentor for ICT with Young NTUC, a Senior Fellow appointed by SUSS and an Executive Education Fellow at NUS.

    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 Tan Tzann Chang

    Mr Tan Tzann Chang

    Mr Tan Tzann Chang has over 35 years of leadership and professional experience, spanning the technology, public service and higher education sectors with local, government and multi-national organisations. He was the former Deputy Director of NUS IT Department heading the CITO Office. He has served in varied roles, from general management, sales and customer acquisition, business development, and operations delivery oversight, to facilitating, lecturing and advisory. He managed a client portfolio delivering over $10m of annual revenue while achieving high client satisfaction ratings regularly. Tzann Chang is also an experienced facilitator of over 15 years and constantly innovates in delivering great learning experiences in areas of business, technology and digital product strategy and management as well as IT finance, sourcing and project management. He has conducted over 200 in-person and online courses with over 4,500 local and overseas participants achieving course rating 4.0/5.0. His past advisory engagements included business and technology governance and management, strategic sourcing, service delivery management, business start-up and e-government development.

    A/Prof Tan Wee Kek

    A/Prof Tan Wee Kek

    A/Prof Tan Wee Kek is currently an Associate Professor in the Department of Information Systems and Analytics at the School of Computing, National University of Singapore. He is also currently serving as an Assistant Dean (Student Life) in the School of Computing, and a Fellow and EXCO member of the NUS Teaching Academy. He graduated with a Doctor of Philosophy in Information Systems in July 2013 and a Bachelor of Computing in Information Systems (1st Class Honours) in July 2007, both from the National University of Singapore. Prior to this, he attended Singapore Polytechnic and graduated with a Diploma in Computer Information Systems with Merit in July 2001. His current primary research interests focus on consumer-based information technology (e.g., online decision aids, social computing, virtual worlds and consumer cloud services). Most of his research is based on design science, a well-established problem-solving paradigm that has been widely adopted in information systems research. His current secondary research interests focus on information systems education. His work has been published or is forthcoming in journals such as Journal of the American Society for Information Science and Technology (JASIST), Decision Support Systems (DSS), Communications of the Association for Information Systems (CAIS), and Journal of Information Systems Education (JISE). His work has also been presented or is forthcoming in conferences such as ACM SIGMIS Computer Personnel Research Conference (SIGMIS-CPR), IFIP Working Group 8.2 Working Conference (IFIP WG8.2), European Conference on Information Systems (ECIS), Americas Conference on Information Systems (AMCIS), and International Conference on Human-Computer Interaction (ICHCI). He has won the faculty level Research Achievement Award in 2013 and was a nominee for the ACM SIGMIS 2009 Magid Igbaria Outstanding Conference Paper of the Year. His current teaching interests include imparting senior undergraduate students with knowledge and skills to develop enterprise information systems as well as teaching them principles of information security management, and concepts of mobile and ubiquitous commerce. He has won the University level Annual Teaching Excellence Award for AY 2009 to 2012. In addition to this, he has also won the Faculty Teaching Excellence Award for AY 2008 to 2011 as well as the Faculty Best Teaching Assistant Award for AY 2007/2008. For his sustained commitment to teaching excellence, he has been placed on the Faculty Teaching Excellence Award Honour Roll for AY 2010/2011 and University level Annual Teaching Excellence Award Honour Roll for AY 2012/2013. He is presently the lead faculty mentor of the NUS BiZiT Society, a student special interest group on business and information technology.

    Dr Leong Wai Kay

    Dr Leong Wai Kay

    Dr Leong Wai Kay is a lecturer with the Department of Computer Science at National University of Singapore (NUS). He graduated with Bachelor of Computing and PhD in Computer Science from National University of Singapore. He is currently teaching undergraduate courses in programming methodology, and software engineering on iOS platform.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$5,804.25 S$2,254.25 S$5,804.25 S$2,254.25 S$19,347.50
    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 an advanced professional certificate 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.

    NUS Computing, Advanced Computing for Executives (ACE)

    11 Research Link
    COM 3, #B1-07
    Singapore 119391

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