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 … 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. He is experienced in different sub-domains of data science from theory to practice, including data mining and pattern recognition. To date, about 600 Executive and Administrative (E&A) staff have completed DLP and a … Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. These exercises will be carried out in groups. Dr. Monajemi was the data science advisor of MSC (Mobarakeh Steel Complex, the largest in the country). He has presented to organizations such as NLB, BCA, CPF, IRAS and SEMI. 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. Students who underwent the NUS Masters of Science in Business Analytics (MSBA) programme will be well-equipped with skills such as machine learning to excel in the data-analytics field across various industries such as finance, retail, information technology, supply … 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. 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. 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. 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. 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. He has a strong interest and passion for data analytics, visualization and e-business. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. 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. He held a range of engineering, leadership and global management positions in Manufacturing, Quality and Research & Development at Hewlett-Packard (HP) for over 26 years. 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. He also has Masters in Business Research and Physics and a Bachelors in Law. Sim oversaw all aspects of operations research work in Mindef as Head Ops Analysis Dept in the Chief Defence Scientist Office for many years. He studied in Yokohama National University under Japan’s Mombusho Scholarship awarded through PSC and graduated in 1983 with a B.Eng. He also read widely on the different topics related to Data Science and Artificial Intelligence, keeping himself up-to-date with their development. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. 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. Course Reference No: 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. Descriptive Analytics with R for undergraduates (2019, 2020) Faculty page at NUS Business School. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. His areas of expertise include logistics and supply chain planning, strategic planning and manpower planning. Data Analytics Basic Courses . Our educational and outreach programmes aim to raise awareness of the fast-growing data science sector. 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. 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. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. Ping Shung’s strong passion in Data Science & Artificial Intelligence can be seen through his involvement in Analytics tech communities, being a Co-founder of DataScience.Sg, former Working Committee Chairman of SAS User Group Singapore and Data Ambassador for one of DataKind SG project and workshop facilitator. 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 … 02 - 03 Feb 2021 (Online) 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. 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. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage … 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,. He also contributes articles to AI Singapore, an institution in Singapore, focused on building AI capabilities. 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). Moreover, he has registered three patents and 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 analysis of the effectiveness of research projects in enterprises, and data mining to extract the common patterns among the unsuccessful BSc students. Welcome to the Department of Analytics & Operations (DAO)! He was a leadership sponsor of the HP Lean Sigma programme. 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). 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 … NUS’ Faculty of Science is the first in Singapore to offer a four-year direct honours programme leading to a Bachelor of Science in Data Science and Analytics. 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. The corresponding maximum candidature periods are 2-years and 4-years respectively. Topics will be taught using practical workshops using software like SPSS Statistics, SPSS Modeller, JMP and Excel. Terms and Conditions apply. Business Analytics. 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. 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. Koo Ping Shung is an experienced Data Scientist with an MBA degree and accumulated more than 15 years of relevant experience. Dr. Julian Lin. DSC2008 Business Analytics–Data and Decisions “Most companies today have plenty of data. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. Students who underwent the NUS Masters of Science in Business Analytics (MSBA) programme will be well-equipped with skills such as machine learning to excel in the data-analytics field across various industries such as finance, retail, information technology, supply chain, and healthcare. His last role at HP was the Senior Director of Manufacturing for its laser printers product family. He is currently the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 10 intakes. Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . Pay-what-you-want monetization in live streaming (Chinese Business Center at NUS, in Chinese). Ping Shung holds an MBA from University of Adelaide. Course Reference No: 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. Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. Ashok is the author of the book Marketing Analytics, a Practitioner's Guide to Marketing Analytics and Research Methods. Opinions / 观点: Live streaming industry and internet-based business model in China (Chinese Business Center at NUS, in Chinese). Data Science and Analytics at NUS There is a substantial shortfall worldwide in data scientists — individuals with expertise in data analytics. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 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. The programme will be … Descriptive Analytics with R for undergraduates (2019, 2020) Faculty page at NUS Business School. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. 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. Bee Luan is a passionate educator with more than 14 years of teaching experience in an institute of higher learning. Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. 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. A specialist in the area of Analytics, Dr Lek has been involved in Big Data Analytics for the past 6 years. MSc with Data Analytics Specialization. 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. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. 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. He holds a Doctorate in Business Administration from the University of Western Australia. This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. 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. TGS-2020513209 (Classroom Learning) 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. He managed the industrial relationships through projects and attachments. The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. 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. 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. A research-intensive university with an entrepreneurial dimension, NUS is ranked consistently as one of the world's top universities. 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. 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). 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. 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 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. He has over 30 years’ experience in IT and information management. 24 - 25 Feb 2021 (Online), National University of Singapore He was awarded the best university teacher of the province in 2012. Data is the oil, and data visualisation is the engine that facilitates its true value. She taught modules in Business Analytics, Data Visualization, Website Design, Business Software, Statistical Methods and Calculus. Our educational and outreach programmes aim to raise awareness of the fast-growing data science sector. Visit. 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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