Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. The Faculty of Science’s newly launched Data Analytics Consulting Centre (DACC) offers consulting services and executive courses, helping organisations to unlock the value of Big Data for business growth and transformation. 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. A research-intensive university with an entrepreneurial dimension, NUS is ranked consistently as one of the world's top universities. Learn big data and data mining techniques He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. 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. National University of Singapore – M.S. 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. ... Graduate Certificate in Business Analytics Practice Series offered by NUS-ISS. 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. He was awarded the best university teacher of the province in 2012. 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. 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. Click. 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. In particular, students will get an insight into how big data is managed and useful information extracted to better make informed decisions. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. 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. 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). His areas of expertise include logistics and supply chain planning, strategic planning and manpower planning. 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. 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). Terms and Conditions apply. Operations managers champion efficiency and the competitive strategy. 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. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] Ping Shung holds an MBA from University of Adelaide. 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. He was born in 1968 in Isfahan, Iran. Dr. Julian Lin. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage … He has a strong interest and passion for data analytics, visualization and e-business. TGS-2020506013 (Synchronous e-Learning). 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. 02 - 03 Feb 2021 (Online) He studied in Yokohama National University under Japan’s Mombusho Scholarship awarded through PSC and graduated in 1983 with a B.Eng. 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). He has been actively involved in data and information management since 2000 and has successfully implemented global projects covering data warehouses, management information systems, data analytics and e-business systems. 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 … 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. This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. He is a Certified Information Systems Security Professional (CISSP) and has a … 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 … Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value.
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. Sim oversaw all aspects of operations research work in Mindef as Head Ops Analysis Dept in the Chief Defence Scientist Office for many years. Our educational and outreach programmes aim to raise awareness of the fast-growing data science sector. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. Bee Luan is a passionate educator with more than 14 years … 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. Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). 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. Descriptive Analytics with R for undergraduates (2019, 2020) Faculty page at NUS Business School. MSc in Accounting (Data and Analytics) The MSA programme is the first specialised Master’s degree in accounting data and analytics in Asia. 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 … The Faculty of Science’s newly launched Data Analytics Consulting Centre (DACC) offers consulting services and executive courses, helping organisations to unlock the value of Big Data for business growth and transformation. She taught modules in Business Analytics, Data Visualization, Website Design, Business Software, Statistical Methods and Calculus. 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. in Naval Architecture. 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,. Build a data-driven organisation. TGS-2020513209 (Classroom Learning) Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. 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. 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. 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. NUS SCALE Data Analytics Courses. Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 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. from National University of Singapore. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. Descriptive Analytics with R for undergraduates (2019, 2020) Faculty page at NUS Business School. The NUS Business Analytics Centre (BAC) was established in 2013, in collaboration with IBM, to develop the skills and knowledge of professionals in business analytics. 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. B.Acc, National University of Singapore Ruth is an Associate Professor of Finance who teaches Financial Markets, Financial Management and Corporate Finance. He has trained numerous professionals on Analytics and usage of SAS software from various companies as well, from industry like financial services, pharmaceutical and logistics. Koo Ping Shung is an experienced Data Scientist with an MBA degree and accumulated more than 15 years of relevant experience. Our educational and outreach programmes aim to raise awareness of the fast-growing data science sector. 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. 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. These exercises will be carried out in groups. They have the ability to collect, curate, analyse and visualise data … 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. 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 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. Established in 2016, the NUS Smart Nation Research Cluster supports and complements Singapore’s Smart Nation Initiative by developing strategic capabilities in data science, analytics and optimisation, artificial intelligence, as well as cybersecurity. To unlock the potential contained within the Big Data requires the application of techniques to explore and convey the key insights. He also read widely on the different topics related to Data Science and Artificial Intelligence, keeping himself up-to-date with their development. His banking experience has equipped him with knowledge on how data, IT infrastructure, compliance and regulations affect Analytics and vice versa. Click. 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. 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. Ben has been teaching information & data management and business analytics classes since 2016. An ability to function effectively in teams to accomplish a common goal. Big Data Analytics is the practice of using digital data for understanding insights from data. 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. He got his PhD in computer engineering, pattern recognition and image processing, from University of Bristol, Bristol, England, in 2005. The programme will be … 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. Data Analytics Basic Courses . 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. Business Analytics. 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). Benjamin Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS. 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). Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. 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. Operations managers champion efficiency and the competitive strategy. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. Topics will be taught using practical workshops using software like SPSS Statistics, SPSS Modeller, JMP and Excel. 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. 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. 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. Course Reference No: He has presented to organizations such as NLB, BCA, CPF, IRAS and SEMI. It also combines data analytics with machine learning. Course Reference No: Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. He won a Ministry of Defence scholarship in 1988 to study Operations Research at the US Naval Postgraduate School and graduated in 1989 with an M.Sc. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. He managed the industrial relationships through projects and attachments. 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. We will discuss the similarities and differences between Data Engineers and Data Scientists, and on how Data Engineers can help in both data-centric research … Data analytics will help organisations gain greater insights of their businesses to make better informed decisions and take actions. He also has Masters in Business Research and Physics and a Bachelors in Law. The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. 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. Welcome to the Department of Analytics & Operations (DAO)! – DSA2101 Essential Data Analytics Tools: Data Visualisation – DSA2102 Essential Data Analytics Tools: Numerical. This programme, the first in Singapore, grooms data scientists with interdisciplinary expertise in statistics, mathematics and computer … (with Distinction). 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. Opinions / 观点: Live streaming industry and internet-based business model in China (Chinese Business Center at NUS, in Chinese). IBM; Industry-linked capstone consulting project 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. Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). Prior to this, he was the Analytics Practicum Manager of the Master of IT in Business (Analytics) Singapore Management University, School of Information Systems. 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. 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. Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech 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. Data Science and Analytics at NUS There is a substantial shortfall worldwide in data scientists — individuals with expertise in data analytics. 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 is where data engineering comes in. 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. The corresponding maximum candidature periods are 2-years and 4-years respectively. To date, about 600 Executive and Administrative (E&A) staff have completed DLP and a … 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. 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 Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. 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. 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 … 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 Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. 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. Dr. Monajemi was the data science advisor of MSC (Mobarakeh Steel Complex, the largest in the country).
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