(SCTP) Advanced Professional Certificate in Data Science and AI
Singapore remains a global leader in AI readiness, ranking first among 109 countries in AI maturity in 2025 (Coursera/EDB). Under its National AI Strategy 2.0, the government aims to triple the local AI practitioner pool to 15,000 by 2026. Demand for AI-specific roles—particularly AI Scientists and Engineers—has seen a 40% increase, significantly outstripping general tech hiring.
This course prepares learners for careers in Data Science, Data Engineering, Machine Learning, and AI. Emphasising practical applications and hands-on experience, the course equips learners to excel as data specialists in these rapidly evolving sectors.
Learners will engage in real-world case studies and capstone projects, addressing actual industry challenges. They will also have access to resources such as discussion groups, and mentorship from seasoned professionals.
In summary, this course offers an exceptional learning opportunity for those seeking a career in AI and data science, equipping learners with the knowledge and skills to thrive in these dynamic industries.
Course Dates
4 July to 21 November 2026 (Part-Time)
27 April to 23 July 2026 (Full-Time)
Both part-time and full-time tracks are eligible for training allowance. For more information, please click here.
Due to high demand, applications may close earlier than expected.
Duration
This course is offered on a full-time (3 months) and part-time (5 months) basis.
Who Should Attend
This course is designed to cater to the intricacies of data science, data engineering and AI. Individuals with prior knowledge in coding will bring valuable prior knowledge that will enhance their learning experience and understanding of the curriculum.
Applicants will be required to undergo a shortlisting process where they must share their résumé and complete a pre-course assessment. Our instructors and career consultants will review applicants to assess their suitability before deciding whether to shortlist them for the course.
Venue
Virtual (Online), NTU e-Learning Platform & NTU@one-north campus
Fees & Funding
SSG Funding Support | BEFORE funding & GST | AFTER funding & 9% GST |
1Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) |
$29,600.00 |
$9,679.20 |
2SCs aged ≥ 40 years old |
$3,779.20* | |
3SCTP Additional Course Fee Funding Support (AFS) (Up to 95% funding) |
$3,319.20* |
- Payment will be made per module.The full amount of nett fees is required to be paid before the start of each module.
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
- SkillsFuture Credit (Mid-Career) top-up of $4,000 can be utilised
1Cat-A SSG Funded Courses - Eligible Singapore Citizens and PRs must attain at least 75% training attendance and passed all associated assessments in order to be eligible to enjoy up to 70% of the course fee. Learners will have to bear the full courses fee upon failure to meet either one of the requirements.
2Mid-career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above must attain at least 75% training attendance and passed all associated assessments in order to be eligible to enjoy subsidies up to 90% of the course fee.
c) Persons with Disabilities.
*The maximum government funding for each module is capped at $7,000, regardless of the specific funding scheme. As a result, certain modules within the course may not be funded up to the typical 90% or 95% levels. This limitation contributes to the slightly higher nett fee. We seek your understanding on this matter.
- Analyse and manipulate data effectively using Python and SQL
- Create and manage databases for data storage and retrieval
- Conduct exploratory data analysis to extract meaningful insights
- Visualise data to communicate findings and trends
- Apply data science techniques to solve practical problems
- Deploy an ML model version via API or web app for inference or serving
Key Features
Learners will be trained to prepare for the AWS Certified AI Practitioner examination.
NTU, an AWS Approved Training Partner, will provide learners with the exam voucher for one attempt.
Taking the examination is completely optional and not part of this course's assessment.
Not sure if this is the right course for your career progression or transition? Book a session to gain clarity!
Chat with our friendly instructors to explore the skills you will be learning in this course!
Modules
Learners will build and manage large-scale data pipelines and systems, covering data extraction, transformation, loading, data warehousing, architecture, and distributed data processing.
Trainers
Dr Teoh Teik Toe
Programme Director
Dr Teoh is a Academic Director and Senior Lecturer at Nanyang Business School (NBS), teaching Business Analytics and AI subjects. His other roles include:
- Academic Director of the NBS Master of Science in Business Analytics
- Associate Director of NTU NBS AI Lab and NTU Information Management Research Centre
- Adjunct Professor at Henan University, Shandong Institute of Technology and Han Chiang University
Dr Teoh has published 4 books and more than 100 publications. Additionally, he has more than three decades of research experience in the areas of Big Data, Deep Learning, Cybersecurity, AI, Machine Learning and Software Development. He also possesses more than 25 years of teaching experience in AI, Data Science and Analytics, Statistics, Business, Finance, Accounting and Law.
Dr Teoh obtained his PhD in Computer Engineering from NTU, Doctor of Business Administration and Master of Business Administration from University of Newcastle, Master of Law from the National University of Singapore, and Bachelor of Laws and Master of Laws from University of London. He completed his post doctorate at Singapore University of Technology and Design.
Dr Teoh is a chartered holder of CFA, ACCA, CIMA, CA Singapore, Chartered Tax Practitioner, Associate Chartered Valuer and Appraiser and CPA Australia. Additionally, he is a member of Mensa International.
Wong Chen Pang
Programme Director
Chen Pang (CP) is a seasoned educator and engineer with over three decades of experience in adult education, curriculum development and software engineering. He is currently Programme Director at Skills Union, where he spearheads the development of technical training courses in Data Science, Software Engineering and Cloud Infrastructure. He collaborates with universities to align course content with academic rigour and the latest industry trends. Previously, he held key engineering and project management roles in the consumer electronics and semiconductors industry.
CP holds a Bachelors of Engineering in Electrical and Electronics and an Masters of Philosophy in Engineering from the University of Leicester, UK. He is an ACLP certified Adult Educator under the TAEPP framework, skilled in delivering quality learner-centered continuing education and training programmes.
Dr Ng Yibin
Dr Ng is a highly accomplished data scientist and entrepreneur with a proven track record of developing and deploying impactful data-driven solutions. As the Co-Founder and Chief Data Scientist of EigenAI, a cutting-edge company that leverages data to predict customer behavior, Yibin is at the forefront of applying data science to solve real-world business challenges. EigenAI is funded by Antler and EnterpriseSG. Before EigenAI, Yibin led data science initiatives at Standard Chartered and Uber, providing crucial data science support to operational teams across various continents.
Dr Ng holds a PhD in Electrical and Computer Engineering from Carnegie Mellon University. He has published various research papers in the field of data science, electrical engineering, magnetic storage media and signal processing. He also holds several US patents in cloud computing, hard disk drive and wireless communication networks.
Mohamed Jawad
Jawad is an accomplished technology leader with more than a decade of experience spanning artificial intelligence, machine learning, and data science. Jawad has held several leadership positions at Gojek, where he served as Head of Data for Gojek Mobility, leading the company's marketplace platform across engineering, product and data functions. He also drove significant technological innovations, including the development of pooled dispatch systems for food delivery and the successful transition from Google Maps to internal tools, substantially improving the unit economics of fulfillment services.
As Head of Data for Gojek Marketplace, he led a team of 30 data scientists and analysts to implement sophisticated machine learning solutions for pricing optimisation, demand modeling, and supply positioning.
Jawad specialises in AWS cloud applications, computer simulations, Bayesian inference, predictive modeling, probabilistic models, recommender systems, statistical modeling, Tensorflow and software development in Java, Python and R.
Jawad holds a Master's degree in Knowledge Engineering from the National University of Singapore.
Germayne Ng
Germayne is a seasoned data scientist with extensive experience in data science, machine learning systems and mapping technologies. Germayne has held several leadership positions at GoTo Group, where he currently serves as Head of Data Science and is responsible for building the company’s mapping data platform.
Germayne drove significant technological innovations, including the development of sophisticated location search systems, routing optimisation, real-time Estimated Time of Arrival prediction systems and sustainable maps platform. Germayne has filed a patent for machine learning and publishes articles on data science on Medium and participates in Kaggle data science competitions in his free time.
Germayne's areas of expertise include artificial intelligence, computer vision, deep learning, machine learning, predictive modelling, reinforcement learning, statistics, Tensorflow and software development in Java, Python and R.
Germayne holds a Master's degree in Computer Science from the Georgia Institute of Technology.
Lai Shumin
Shumin is an experienced practitioner with a strong background in leveraging data to drive business insights and solutions. As a data scientist, she is passionate about applying machine learning and analytical techniques to solve complex problems across various industries. Her experience spans both consulting and in-house roles, providing her with a broad understanding of data science applications.
Shumin holds a Bachelor's degree in Business Analytics from the National University of Singapore, scoring distinctions in Applied Analytics and Business Domain Applications. Her expertise lies in AI Engineering, Applied Analytics Techniques, Machine Learning, Natural Language Processing and Python Programming.
Patrick Fong
Patrick is a Senior Consultant and Instructor at IVT Pte Ltd. He delivers namely cloud computing courses from Amazon Web Services (AWS) and is an expert in VMware products. He has attained many certifications such as AWS Certified Solutions Architect, DevOps Engineering and Machine Learning. Besides AWS products, Patrick is also certified in Servicenow and VMware products.
He was a mentor instructor to qualify new instructors onboarding for VMware and Dell EMC’s training team. With his vast experience from IT infrastructure products such as servers, enterprise storages and virtualisation coupled with years of consulting and project management experience, his trainings are unique and beneficial to students due to his real-life experiences in the field. In his 25 years of teaching and consultancy roles, he has delivered a myriad of courses and projects in Asia, Europe and South America.
Besides being a qualified instructor for AWS, VMware and Servicenow products, he holds an MBA from Heriot Watt University, Edinburgh Business School UK.
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Feng Feng
Feng Feng is a seasoned data science and operations professional with over 20 years of experience in driving strategic planning and data-driven decision-making across the CRO, ITO, and FMCG sectors. Most recently, as a Regional Manager at ICON, Feng led cross-functional initiatives that utilized advanced analytics to optimize global resource planning and workforce forecasting.
With a career spanning leadership roles at Hewlett-Packard and Procter & Gamble, Feng specializes in translating complex data into actionable business insights through tools like Tableau, QlikView and SAP. A dedicated mentor and educator, Feng has a proven track record of developing curriculum and training programs that have improved team proficiency by 40% and significantly streamlined operational workflows.
Feng holds a Bachelors of Engineering in Electronic Information Engineering from Southeast University and Masters of Technology in Knowledge Engineering from NUS. His excellence in the field is recognized by numerous accolades, including being a finalist for the PharmaTimes International Clinical Researcher of the Year and winning 3rd Prize in the Big Data Analytics Hackathon. He is an ACLP certified Adult Educator under the TAEPP framework, skilled in delivering quality learner-centered continuing education and training programmes.
Alvin Chua
Alvin Chua brings two decades of experience building successful AI capabilities across enterprise and consulting contexts. Currently with Commune AI, his experience spans both sides of AI transformation — establishing capabilities within large enterprises and bringing cross industry AI best practices as external consultant — giving him practical insight into what makes implementations succeed. His technical depth covers classical statistics and machine learning, deep learning, computer vision, NLP, optimization, and Generative AI, with a proven track record in production AI systems and enterprise AIOps infrastructure.
Alvin focuses on making AI implementations work. He helps organisations establish Centers of Excellence with governance structures, architects AIOps systems, and builds production solutions. His approach integrates technical delivery with rigorous business focus and capability building, ensuring stakeholders can make sound decisions, and move organizations from experimentation to measurable business outcomes. He is also a passionate ACLP certified educator consistently recognized by learners for making complex technical topics accessible and engaging, and bringing real-world expertise into the classroom.
Soon Leah Foo
Soon is a seasoned technology educator and practitioner driven by a singular mission: empowering the next generation of digital leaders to master the complexities of the modern data landscape. With a career rooted in over two decades of high-level practice at DBS Bank, Soon does not just teach technology --- he shares a lifelong passion for the elegant problem-solving found in Software Engineering and Data Analytics.
As an Adjunct Lecturer, Soon finds his greatest fulfillment in the "lightbulb moments" of his learners. He specializes in demystifying the frontier of Generative AI, MLOps, and Cloud Architecture, transforming intimidating technical hurdles into accessible, exciting opportunities for growth. His approach goes beyond the syllabus; he strives to instill a mindset of continuous innovation and curiosity in every adult learner he mentors.
His deep industry roots as a Project Lead and Data Engineer are complemented by an exhaustive pursuit of technical excellence. A Microsoft Certified Trainer (MCT) and AITP-certified facilitator under the TAEPP framework, Soon holds elite certifications across AWS, Azure, and Google Cloud. For Soon, these credentials are a testament to his commitment to staying at the vanguard of technology so he can better guide his learners through an ever-evolving digital world.