Real-world data science is messy, and very different from reading or learning from a book. Having developed and deployed data analytics projects around the APAC region since 2012, we know this well. In our courses, we draw from our “battlefront” not only technical knowledge but lessons learned to share with managers, data scientists and infrastructure engineers. We focus on telling it like it is, on showing what it really takes to deliver quality data science.

NUS SCALE Data Analytics Programmes

Data Analytics for Senior Executives

Data Analytics Fundamentals Programmes

Data Analytics Intermediate Programmes

Data Analytics Advanced Programmes


Dr Guo Lei

Dr Guo Lei is an active researcher and educator in behavioural research, data analytics, and service innovation, with international experience in delivering applied research and practice-based learning programmes with successful results. She has particular experience in tackling complex challenges through design thinking, business analytics and strategic communications. Dr Guo is also an accomplished author, having publications in both academic and professional domains. She has worked with clients in sectors such as transport, public service, banking, retail, gaming, support services and infocomm. Previous clients include Land Transport Authority of Singapore, Singapore Public Transport Council, Singapore National Library Board, Info-communications Development Authority of Singapore, United Overseas Bank, Bank of China, China Agricultural Bank, Club 21, CapitaLand, Singapore Pools, UK BAE Systems, China Mobile, and Wuxi Municipal Government China.

Dr Julian Lin

Dr Julian Lin is a Senior Lecturer in Cybersecurity and Data Analytics with School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. He has been conducting text-analytics research since 2010 and teaching visualization since 2007. During his IT consultancy career, he oversaw the application and infrastructure projects in Amoseas, Mannesmann Dematic Colby (Sydney), Alcatel (Sydney), and the University of New South Wales (UNSW) Faculty of Commerce and Economics. Julian has taught programming and data management for business at UNSW. At NUS, he had mentored student software development projects and taught visual communications, designing new media content, and research methods. He was given a teaching award for visualization class and research award for user acceptance research in NUS. Julian obtained a PhD degree in Information Systems from NUS. He was a recipient of two scholarships from the Overseas Chinese Association in Taiwan while pursuing his Bachelor degree and another scholarship while pursuing a Master degree in Australia.

Koo Ping Shung

Koo Ping Shung is an experienced Data Scientist with 13+ years of relevant experience. He is also an Adjunct Senior Faculty with Singapore University of Social Sciences (SUSS). He is a seasoned trainer, having conducted over 1,600 man-hours of data science training and is the mentor to trainees in the IMDA-SAS BIA Programme for 5 intakes. Ping Shung was a guest lecturer at NUS Institute of Systems Science and previously held an adjunct position in School of Information Systems, Singapore Management University. Previously, he was the Analytics Practicum Manager at SMU, SIS. He often advised companies on the data analytics projects they can work on and is a co-supervisor for many Masters students on their projects. He was an instructor in DBS Graduate Associate Programme, training 200+ Graduate Associates on analytics. Ping Shung was a facilitator for the IDA Data Science MOOC programme and participated in Data Literacy Bootcamp, co-organised by the IDA Singapore and The World Bank. Ping Shung has gathered much experience on analytics, from data collection, machine learning to presentation of insights. His analytics experience range from a variety of business functions and industries. His strong passion in data science can be seen, being a Co-founder of DataScience.Sg and former Working Committee Chairman of SAS User Group Singapore. His research interest lies in how data science can help organizations be more efficient and effective. Ping Shung holds an MBA from University of Adelaide and obtained his bachelor degree in Economics from NUS, minor in Computational Finance.

Ryzal Kamis

Ryzal Kamis imunges and wrangles data with R, Python, and visualise data with softwares like Tableau or Qlik Sense in his tool belt. Prior to NUS, he has conducted data visualisations and data science workshops for participants of varying levels of programming competencies. Ryzal has won top prizes for several data-centric competitions like the inaugural National Data Visualisation Video Challenge for which he has created an R Shiny application catering to parents of special needs children to locate well-equipped schools. Currently, he is an AI Engineer under the national initiative AI Singapore where he has worked on AI applications like Smart Reception and facial recognition for automated office entry.


Learning Journey