Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. MSc in Accounting (Data and Analytics) The MSA programme is the first specialised Master’s degree in accounting data and analytics in Asia. This course is designed to equip participants with the basic knowledge of analytics technologies behind the digital intelligence and pervasive computing extending from factories all the way to homes and offices in order to leverage the power of Industry 4.0 and the Smart Economy. 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). The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. He was a guest lecturer at NUS-ISS, Adjunct Senior Faculty at SUSS and previously held an adjunct position in School of Information Systems, Singapore University of Social Science and ESSEC Singapore,. Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). Business decisions are often made under uncertainty. Data analytics is used in many industries to allow companies and organisations to make better business decisions and in the sciences to verify or disprove existing models or theories. He was a leadership sponsor of the HP Lean Sigma programme. B.Acc, National University of Singapore Ruth is an Associate Professor of Finance who teaches Financial Markets, Financial Management and Corporate Finance. Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. Data analytics will help organisations gain greater insights of their businesses to make better informed decisions and take actions. Interested students in the programme have the opportunities to assist in the Centre’s consulting services to the industry, thereby allowing them to gain practical experience in formulating data-driven solutions for real-world business problems in a wide spectrum of our … – DSA2101 Essential Data Analytics Tools: Data Visualisation – DSA2102 Essential Data Analytics Tools: Numerical. Visit. Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). We are a new interdepartmental multidisciplinary research group focusing on urban data analysis, geographic data science, and 3D city modelling at the National University of Singapore (NUS), the #1 university in Asia and world’s #11 (QS 2021). This course aims to provide participants with a foundation in: At the end of the course, participants will be able to: Knowledge of data management and fundamental statistics. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 MSc with Data Analytics Specialization. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. Strategic Technology Management Institute. In particular, students will get an insight into how big data is managed and useful information extracted to better make informed decisions. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. Opinions / 观点: Live streaming industry and internet-based business model in China (Chinese Business Center at NUS, in Chinese). The main aim of the Diploma in Data Analytics is to give students the knowledge and practical insight into the workings of the business analytics industry. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. We offer the most extensive selection of academic programmes in Singapore, collaborating with leading universities worldwide to provide our students with diverse opportunities for overseas exposure. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data for business competitiveness. He consulted for MNCs such as ExxonMobil, GE Plastics, Gillette and HP as well as for the public sector in security, healthcare and library services. This course brings the focus back to the fundamentals of exploring, cleaning, preparing the data and the process of data acquisition and management. Sim oversaw all aspects of operations research work in Mindef as Head Ops Analysis Dept in the Chief Defence Scientist Office for many years. Pay-what-you-want monetization in live streaming (Chinese Business Center at NUS, in Chinese). The NUS-ISS Stackable Certificate Programme in Data Science, leading to the NUS Master of Technology in Enterprise Business Analytics is designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. Computation – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus – ST2131/MA2216 Probability – ST2132 Mathematical Statistics: 40: Levels 3000. and 4000 (56 MCs) Pass – CS3244 Machine Learning The Master of Science in Business Analytics (MSBA) can be taken either as a 1-year (13-month) intensive full-time programme or a 2-year part-time programme. He is a seasoned Trainer in Data Science as well, having trained numerous professionals on Analytics. Bee Luan is a passionate educator with more than 14 years … A specialist in the area of Analytics, Dr Lek has been involved in Big Data Analytics for the past 6 years. MSc in Data Science and Machine Learning Introduction The MSc in Data Science and Machine Learning programme is offered jointly by the Department of Mathematics, the Department of Statistics and Applied Probability and the Department of Computer Science with support from the Faculty of Engineering, and the Saw Swee Hock School of Public Health. In those projects, Ben had applied data analytics to improve resource management and sales profitability with better understanding of customers, products and services. He has a strong interest and passion for data analytics, visualization and e-business. In a 5-year partnership that ensued, with IBM contributing industrial knowledge and NUS offering academic expertise, BAC offered and hosted the NUS Master of Science in Business Analytics (MSBA) programme. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. To unlock the potential contained within the Big Data requires the application of techniques to explore and convey the key insights. IDS coordinates and supports data science research initiatives across NUS.The value of the solutions that IDS can provide is through combining the expertise from multiple disciplines to tackle a problem well-roundedly from an all angles. The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data for business competitiveness. These exercises will be carried out in groups. Ping Shung also has experience in implementing mathematical models onto IT systems. Bee Luan is a passionate educator with more than 14 years of teaching experience in an institute of higher learning. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. 02 - 03 Feb 2021 (Online) DSC2008 Business Analytics–Data and Decisions “Most companies today have plenty of data. His areas of expertise include logistics and supply chain planning, strategic planning and manpower planning. The company is a recognised training and assessment provider for a number of global professional skills and appointed as a CET Centre for Service Excellence and Employability Skills by the Singapore Workforce Development Agency. Koo Ping Shung is an experienced Data Scientist with an MBA degree and accumulated more than 15 years of relevant experience. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). He managed the industrial relationships through projects and attachments. His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. In her capacity as a lecturer, Bee Luan was involved in developing FutureReady certification courses and conducting SkillsFuture for Digital Workplace courses for the adult learners in the banking and aviation industries. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. In this role, he was heavily involved in developing planning policies and processes in order to continuously renew the organisation and better position for the future. Sim is a Past President of the Operations Research Society of Singapore and was Adjunct Professor at Zhejiang University Ningbo Institute of Technology from Jun 2009 to May 2011. He studied in Yokohama National University under Japan’s Mombusho Scholarship awarded through PSC and graduated in 1983 with a B.Eng. Welcome to the Department of Analytics & Operations (DAO)! He possesses a Professional Diploma in Data Analytics from the NUS Institute of System Sciences and an Advanced Certificate in Training & Assessment (full ACTA) from the Singapore Workforce Development Agency. National University of Singapore – M.S. He specialises in the transformation of organisations, operations, and services using data, analytics, and artificial intelligence. The DLP rolled out to over 4,300 NUS staff will impart a base-level competency in data analytics amongst the staff community NUS recently rolled out the Data Literacy Programme (DLP) to over 4,300 executive and administrative staff and lab technicians. She had provided consulting services to her clients to streamline their business processes and had successfully rolled out numerous company-wide Enterprise Resource Planning (ERP) projects for companies mostly in trading and manufacturing industries. Dr. Julian Lin. Data engineers build tools, infrastructure, frameworks and services which allow them to tease insights from the myriad of data streams being generated. This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. However, creating intelligence and gleaning real insights from this data is what continues to elude organisations.” – Competing on Analytics: The New Science of Winning.

By Tan Chee Chiang, Research Computing, NUS Information Technology, on 12 May 2020

We launched Data Engineering support services a while ago to support and accelerate data centric research such as in Analytics and AI. His research interests include AI, Machine Vision, Data Science, and IoT. The corresponding maximum candidature periods are 2-years and 4-years respectively. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] IDS coordinates and supports data science research initiatives across NUS.The value of the solutions that IDS can provide is through combining the expertise from multiple disciplines to tackle a problem well-roundedly from an all angles. (with Distinction). The Executive Certificate Programme in Data Analytics and Data Visualisation has been designed to support the strategic upskilling needs of employees in data analytics and data visualisation as the Singapore government continues to advocate for wider adoption of analytics by businesses and industries to improve their productivity. He often advised companies on the type of Analytics projects they can do with their data and is a co-supervisor for many MITB students on their Analytics Capstone Projects. This programme, the first in Singapore, grooms data scientists with interdisciplinary expertise in statistics, mathematics and computer … Strong knowledge of data analytics foundations and fundamentals, including: familiarity with data analytics and programming principles, and; high and broad understanding of the application of analytics in various industrial domains. Big Data Analytics is no longer a “good to have” feature in any organization’s suite of functions, it has become a “must have” activity. Before going to SMU, Ping Shung was formerly from the banking industry, having worked in DBS Bank and OCBC Bank, specialized in Credit Risk Analytics and also maintained data mart and its processes for the department. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. Welcome to the Department of Analytics & Operations (DAO)! Mr Chan was also the CEO of TUV SUD PSB Learning Private Ltd, a training and consultancy business unit subsidiary of the TUV SUD group of companies. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Accordingly, a Business Analytics degree from NUS will provide you with the skills and expertise needed to build a career in today's fastest-growing and most exciting profession. Business and Industry experiences include electronic business development, implementation of business process re-engineering and functional support for Finance, HR, Manufacturing, Retail and mergers/acquisitions in Oil and Gas. The course will use actual use cases to cover the following: At the end of the course, participants will be able to: There will be two hands-on exercises using Excel 2016 for Windows (or later versions), with the Analysis ToolPak and Solver Add-ins. In addition to learning knowledge in data science, students will also have opportunities to explore the integration of machine learning and data analysis in sectors such as financial industry, healthcare and government. For more information, visit, Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at, Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit-, NTUC Training Fund (SEPs) – All self-employed (i.e. Data is the oil, and data visualisation is the engine that facilitates its true value. Big Data Analytics Technology Students learn to analyse data that cannot fit in the computer’s memory and apply such analysis to web applications. Prior to his association with IDSC, Mr Chan was providing business advisory services in the areas of quality, manufacturing and supply chain, and speaking at technical seminars. He also contributes articles to AI Singapore, an institution in Singapore, focused on building AI capabilities. During his time at SMU, he was an instructor in the DBS Graduate Associate Programme (GAP) for 3 years, teaching over 200 GAs on what Analytics is all about, and received positive ratings. Big Data Analytics is the practice of using digital data for understanding insights from data. She also holds a Master in Business Administration in Strategic Management from the Nanyang Technological University and had obtained a Certificate in Teaching & Learning (Higher Education). His banking experience has equipped him with knowledge on how data, IT infrastructure, compliance and regulations affect Analytics and vice versa. His research interest lies in how Data Science/Artificial Intelligence can help organizations and businesses to be more efficient and effective, and how organizations can build in-house data science capabilities successfully. Data analytics empowered by Python programming skills will provide you, as a professional, as well as the organization you work for, a competitive edge in the market. Visit. He got his PhD in computer engineering, pattern recognition and image processing, from University of Bristol, Bristol, England, in 2005. Sim Cheng Hwee is an experienced practitioner of creative problem solving using advanced predictive and prescriptive analytics with almost 30 years of experience in the public and private sector. Students from non-analytics domains can benefit from acquiring knowledge in data analytics, which will enable them to apply computing and statistical methods to analyse and model complex data in … Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. Model Development, Deployment, Scoring and Refresh, Logistic Regression (Predicting HDB Prices), All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. TGS-2020506013 (Synchronous e-Learning). He possesses a Professional Diploma in Data Analytics from the NUS Institute of System Sciences and an Advanced Certificate in Training & Assessment (full ACTA) from the Singapore Workforce Development Agency. Our educational and outreach programmes aim to raise awareness of the fast-growing data science sector. He Dr Lek Hsiang Hui currentlyteaches courses in undergraduate Requirements Analysis and Design, Data Mining, and Business Analytics at the School of Computing, National University of Singapore. Teaching has always been her passion and Data Analytics is her new area of interest. TGS-2020502793 (Synchronous e-Learning). Managers have to lead their organisations by setting the direction and the strategies on how data analytics can be applied in the various parts of the organisation to harness value from the data. Business Analytics. An NUS education provides a strong technical foundation across all areas of computing, meaning that your Business Analytics training will be bolstered by strong general computer skills. Chan Kum Yew is a supply chain industry professional and a seasoned manager with over 30 years of experience in the IT hardware and the training and consultancy industries. A research-intensive university with an entrepreneurial dimension, NUS is ranked consistently as one of the world's top universities. IDS is a research institute that will be the focal point for all data science research and translation, education and related activities at NUS, which aims to contribute to Singapore’s Smart Nation initiative by developing deep and strategic capabilities in data science, analytics and optimisation, and cybersecurity. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Students will learn how to communicate the main features of a data set, quantify relationships in data, predict using historical data, select between different data models and appreciate how data insights can influence decisions. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. This course is designed for IT professionals to better understand data analytics and how to support and manage the technology and data. Learn big data and data mining techniques To date, about 600 Executive and Administrative (E&A) staff have completed DLP and a … Prior to teaching, Bee Luan began her career in the IT industry in multiple roles, from project management to IT consulting in both MNC and SME companies. The NUS-ISS Stackable Certificate Programme in Data Science, leading to the NUS Master of Technology in Enterprise Business Analytics is designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data … Date TBA Duration 1 Day Course Overview Business Analytics is not just about technical capability, but the start of some potentially significant organisational transformation – specifically on the way organisations handle and consume data and make decisions. TGS-2020513209 (Classroom Learning) She taught modules in Business Analytics, Data Visualization, Website Design, Business Software, Statistical Methods and Calculus. He also provided analytical support for many plans and developed a broad understanding of technology and how a large organisation should organise itself to harness technological innovation to stay ahead. The age of the fourth industrial revolution has seen the explosion of data, with a mind-boggling 2.5 quintillion bytes of data created each day at our current pace. Data Analytics Basic Courses . Unlike any other postgraduate analytics programme, the MSA’s data and analytics track goes deep into the application of data technology in the accounting domain. Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . His Analytics experience range from a wide variety of business functions and industries, gathered from talking to companies from a wide variety of industries. Chua Bee Luan is a Senior Lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). This is where data engineering comes in. Benjamin Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS. Topics will be taught using practical workshops using software like SPSS Statistics, SPSS Modeller, JMP and Excel. An ability to function effectively in teams to accomplish a common goal. He has over 30 years’ experience in IT and information management. From beginner courses that introduce basic concepts to more technical programming and visualisation techniques, you will acquire data analytics skills and learn the real-life applications of data science. He was awarded the best university teacher of the province in 2012. Dates 1 Dec & 7 Dec 2020 (9am - 5pm) 10 Dec 2020 (9am - 11am) Duration 2.5 Days Course Overview To gain understanding and working knowledge of Data Analytics and Decision Science. The National University of Singapore (NUS), the nation’s highest-ranked university, will offer a new degree program in data science and analytics starting from … Centre for English Language Communication (CELC) 24 Centre for Future-ready Graduates (CFG) 24 Duke-NUS 24; Faculty of Arts & Social Sciences (FASS) 24 FACULTY OF ARTS AND SOCIAL SCIENCES 24; Faculty of Engineering (FOE) 24 Faculty of Science (FOS) 24 Institute of Systems Science (ISS) 24 Lee Kuan Yew School of Public Policy (LKYSPP) 24 Multidisciplinary 24; NUS … He is experienced in different sub-domains of data science from theory to practice, including data mining and pattern recognition. Opinions / 观点: Live streaming industry and internet-based business model in China (Chinese Business Center at NUS, in Chinese). She has been awarded the NUS Annual Teaching Excellence Award and was placed on the Honour Roll for her commitment and performance in teaching. Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). Data Science and Analytics at NUS There is a substantial shortfall worldwide in data scientists — individuals with expertise in data analytics. Terms and Conditions apply. Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. Descriptive Analytics with R for undergraduates (2019, 2020) Faculty page at NUS Business School. He was an Adjunct Lecturer at Institute of System Science -National University of Singapore and the Singapore Civil Service College and served on the Scientific Advisory Committee for National Research Foundation’s Future Resilient Systems research programme. NUS SCALE Data Analytics Courses. To prepare the next generation of data scientists for the new global data economy, the DACC provides students in NUS’ Data Science and Analytics degree programme opportunities to solve real-world business problems with data-driven solutions. Prior to this, he was the Analytics Practicum Manager of the Master of IT in Business (Analytics) Singapore Management University, School of Information Systems. For more information, visit, Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at, Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit-, NTUC Training Fund (SEPs) – All self-employed (i.e. This course is part of the Software Systems series, Data Science series, Graduate Certificate in Big Data Engineering & Web Analytics as well as Graduate Certificate in Engineering Big Data series offered by NUS-ISS. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone … Currently, his work focusses on enabling risk functions to face the challenges of the digital age, such as machine learning, artificial intelligence, and robotic automation. In support of the NUS resilience and growth (R&G) initiative, she also provides training for fresh graduates so that they can continue to learn in the uncertain times of COVID-19. As Director of Quality, he led the development of a Quality Management System for a global manufacturing network which delivered products renowned for their top quality. The company helps local and regional corporate clients in developing their employees’ skills and improving their processes, as well as local individuals in skills training. Course Reference No: He also read widely on the different topics related to Data Science and Artificial Intelligence, keeping himself up-to-date with their development. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Dr. Monajemi was the data science advisor of MSC (Mobarakeh Steel Complex, the largest in the country). Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. He tackled many complex problems such as optimizing ammunition storage in land scarce Singapore, optimizing anti-terrorism patrols to best meet multiple threats, reducing lost sales and unsold bread for a major bakery, etc. Master in Business Analytics - This course in Business Analytics is jointly offered by the School of Computing and the National University of Singapore Business School. Ben has been teaching information & data management and business analytics classes since 2016. Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage … Students will learn how to communicate the main features of a data set, quantify relationships in data, predict using historical data, select between different data models and appreciate how data insights can influence decisions. Besides being an instructor for DBS GAP, he was a facilitator for IDA Data Science MOOC programme for 2 cohorts (over 300 professionals) and participated in Singapore's first Data Literacy Bootcamp, co-organised by the IDA Singapore and The World Bank. Held in Singapore. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. Part-time (4 semesters or 2 years); Full-time (2 semesters or 1 year) Collaboration between NUS Business School (3 rd in Asia) and NUS School of Computing (1 st in Asia) Close industry links – e.g. Topics include map-reduce as a tool for creating parallel algorithms that operate on very large amount of data, similarity search, data-streaming processing, search engine technology, and clustering of very large high-dimensional … In April 2020, NUS launched the Data Literacy Programme (DLP) to empower staff with basic data analytics skills, as part of a University-wide initiative to enhance staff capabilities. This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. ... Graduate Certificate in Business Analytics Practice Series offered by NUS-ISS. Ping Shung holds an MBA from University of Adelaide. Our educational and outreach programmes aim to raise awareness of the fast-growing data science sector. Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). Please visit, MSc in Pharmaceutical Science & Technology, SGUS: Construction / Facilities Management, http://www.ssg.gov.sg/programmes-and-initiatives/training/enhanced-training-support-for-smes.html?_ga=2.154478072.1748789781.1519700056-512306731.1519700056, https://www.skillsconnect.gov.sg/sop/portal/e-Services/For%20Employers/AbsenteePayroll.jsp, https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html, Servitization, Circular Economy, Additive Manufacturing and other drivers and enablers shaping Industry 4.0 and the Smart Economy – Use Case of Managed Services, Smart factories and the transformations wrought by Internet of Thing (IoT) and Industrial Internet of Things (IIoT) – Use Case of Production Constraint Diagnosis, Big Data, Cloud Computing and the Predictive and Prescriptive Analytics needed for data-driven smart decisions and process automation – Use Case of Demand and Stock Planning, Human-machine collaborative efforts, Augmented Intelligence and the future of work and skills needed in Industry 4.0 / Smart Economy – Use Case of Smart Retail Implementation, Recognise the characteristics of advanced analytics which makes them key to Industry 4.0, Understand the basic underlying concepts of diagnostic analytics in the analysis of factory constraints, Understand how predictive analytics techniques such as count data regression could be used to forecast demand, Apply basic prescriptive analytics to recommend stocking level of several products sharing WIP space, Understand how smart systems should be designed to work with humans responsible for business outcomes, Servitization of Manufacturing & Managed Service Use Case, Circular Economy, Additive Manufacturing and other drivers and enablers shaping Industry 4.0, Production Line Design & Diagnosis Exercise, Big Data, Cloud Computing and the Predictive and Prescriptive Analytics for Industry 4.0, Demand and Stock Planning Use Case & Exercise, Man-Machine Collaboration, Augmented Intelligence & Future of Work, All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. 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