The four-year direct Honours programme in Data Science and Analytics (DSA) is designed to prepare graduates who are ready to acquire, manage and explore data that … Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. CS5340   Uncertainty Modelling in AI Yong Siew Toh Conservatory of Music 96 MCs 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. Build a data-driven organisation. NUS Bulletin AY2020/21 Students will also undertake an industry-driven capstone project module, where they will work with real-life data, providing them with an opportunity to tackle real-life issues and problems in a workplace environment. 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. On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. Big data is now part of every industry sector and function of the global economy. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. Saw Swee Hock School of Public Health WHY CHOOSE NUS MSc IN MARKETING ANALYTICS AND INSIGHTS? (Hons.) Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. Big Data Analytics is the practice of using digital data for understanding insights from data. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. * 8 MCs of Faculty requirements are fulfilled through the reading of a CS-coded module and a ST/MA-coded module within the DSA curriculum. The NUS Master of Science in Business Analytics (NUS MSBA) program is jointly offered and designed by two globally ranked schools, NUS Business School and NUS Computing. – CS3244 Machine Learning Institute of Systems Science This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. Yale-NUS College The NUS Co-Operative (Co-Op) Education Programme formally integrates academic studies with relevant work experience, where students complete multiple internship stints alternating with regular academic semesters over their candidature at NUS thus forming an integral part of the student’s learning experience. University Requirements School of Business Study Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech Semester 2 ST4231    Computer Intensive Statistical Methods Operations managers champion efficiency and the competitive strategy. Faculty Requirements Department of Analytics & Operations Welcome to the Department of Analytics & Operations (DAO)! Held in Singapore. Please refer to Section S of Part II of this bulletin for details. The skills to make sense of data will enable you to make better informed decisions. Students under the NUS co-operative education programme will need to take BT4011 Business Analytics Capstone Industry Project rather than BT4101. The last two internship segments take the form of an Honours-level project (DSA4299). 16 Centre for English Language and Communication, S. Other Multidisciplinary/Special Programmes, Pre-University Students from Local Institutions, Graduate Continuation and Graduation Requirements, Non-Graduating Programme Application & Eligibility, Responsibility for Notices/Circulars and Updates of Personal Particulars, Notes on Leave Matters for Research Scholars (RS), Open Researcher and Contributor ID (ORCID), Social Visit Pass for Spouse and Child of Full-Time Graduate Research Students, Important Information to Note Upon Cessation of Studies at NUS, Satisfactory / Unsatisfactory (S/U) Option, School of Continuing and Lifelong Education, NUS Graduate School for Integrative Sciences and Engineering, Centre for English Language and Communication, Other Multidisciplinary/ Special Programmes. Faculty of Law Education at NUS Our stackable modules give learners the ability to choose the exact set of skills they want to master. A specialist in the area of Analytics, Dr Lek has been involved in Big Data Analytics for the past 6 years. Year 1 He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. CS4248   Natural Language Processing – ST2132 Mathematical Statistics 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. The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. To be awarded a B.Sc. * 8 MCs of Faculty requirements are fulfilled through the reading of a CS-coded module and a ST/MA-coded module within the DSA curriculum. Study and 4000 Unrestricted Elective Modules – DSA2102 Essential Data Analytics Tools: Numerical CS3230   Design and Analysis of Algorithms Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. ST3233    Applied Time Series Analysis – CS1010/CS1010S/CS1010X Programming Methodology List B1 — DSA-recognised modules (no hidden pre-requisites) Pass Internship (full time) The four-year direct Honours programme in Data Science and Analytics (DSA) is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire changes around the world. Level 1000 Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. Data Analytics Academic/Training Unit: SCALE Department Module/Course Title Module/Course Code Course Type INSTITUTE OF SYSTEMS SCIENCE NICF - Predictive Analytics - Insights of Trends Year 3 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. **GRE/GMAT will be exempted if you graduate from either of the 4 local universities (NUS, NTU, SMU, SUTD). Module Level As the need for extensive data collection, processing and analyses increases across various sectors, DSA graduates can expect to build a career as data science professionals in both public and private firms, in industries ranging from technology to infocomm, transportation, telecommunications, e-commerce, etc. 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. The DSA programme is jointly offered by the Department of Mathematics and the Department of Statistics and Applied Probability in the Faculty of Science, with the collaboration of the School of Computing. The last two internship segments take the form of an Honours-level project (DSA4299). The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. Data Science & Artificial Intelligence for Senior Executives, MSc in Pharmaceutical Science & Technology, SGUS: Construction / Facilities Management, Data Analytics & Visualisation for IT Managers, Data Analytics and Visualization for Managers, Data Technology and Management for IT Professionals, Future-proof Businesses with Artificial Intelligence, Octave Programming for AI, Machine Learning and Data Analytics, Capstone Project: Developing a Data Analytics Model, Data Analytics Deployment & Performance Monitoring. AY2018/19 The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Administrative Policies / Procedures In their third and fourth years of study, students will also delve deep into subject matters such as computation and optimisation, computer algorithms, database and data processing, data mining and machine learning, and high-dimensional statistics. Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. – DSA3102 Essential Data Analytics Tools: Convex Optimisation In their third and fourth years of study, students will also delve deep into subject matters such as computation and optimisation, computer algorithms, database and data processing, data mining and machine learning, and high-dimensional statistics. Our Master of Science in Marketing Analytics and Insights programme is designed to groom recent graduates to meet the growing demand for data analysts across the industries to address marketing-related issues – predicting demand and trend, understanding consumer preferences and behavioural patterns, creating new product … Levels 3000 School of Design & Environment Data Science and Analytics at NUS There is a substantial shortfall worldwide in data scientists — individuals with expertise in data analytics. Students are required to fulfill the remaining 8 MCs of Faculty requirements from any two of the following subject groups: Chemical Sciences, Life Sciences, Physical Sciences or Multidisciplinary & Interdisciplinary Sciences; but not from the following subject groups: Computing Sciences and Mathematical & Statistical Sciences. – MA1101R Linear Algebra I Taught by faculty with expertise in both analytics and insights, MAI students can build on such knowledge to prepare for themselves a distinguished career in this important area in marketing. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. – MA1102R Calculus ST3247    Simulation from National University of Singapore. – DSA2101 Essential Data Analytics Tools: Data Visualisation

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. 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. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. (56 MCs) DSA426x Sense-making Case Analysis: YY and ZZ CS4234   Optimisation Algorithms CS3223   Database Systems Implementation He specialises in the transformation of organisations, operations, and services using data, analytics, and artificial intelligence. It also combines data analytics with machine learning. Cumulative Major MCs Build a data-driven organisation. Programme Structure and Curriculum Rationale. 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. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. An ability to function effectively in teams to accomplish a common goal. ST3239    Survey Methodology 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. This subject guide covers resources available at the NUS Libraries. NUS Graduate School for Integrative Sciences and Engineering The NUS degree programme in Data Science and Analytics will equip you with the necessary analytical and communication skills to gain a competitive edge in this rapidly growing field. About NUS It i… 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. Faculty of Arts & Social Sciences CS4243   Computer Vision and Pattern Recognition They will be able to handle problems like uncovering hidden stock market indicators, extracting information from medical images, predicting consumer behaviour and a host of similar interesting questions. 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. Welcome to the Department of Analytics & Operations (DAO)! Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. 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). APPLICATION PERIOD #1. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. 160 MCs Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech Faculty of Science Programme Structure and Curriculum Rationale Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). NUS Bulletin AY2020/21 Provost's Welcome Message Part I: General. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Data Analytics Consulting Centre Block S16, Level 7 6 Science Drive 2 Faculty of Science National University of Singapore Singapore 117546 dacc@nus.edu.sg Business Hours Monday to Thursday: 8.30 am – 6.00 pm Friday: 8.30 am – 5.30 pm AY2017/18 Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. Academic Information / Policies About NUS Pass Students will read modules in Mathematics, Statistics and Computer Science, and be exposed to the interplay between these three key areas in the practice of data science. Operations managers champion efficiency and the competitive strategy. Part IV: Archived Bulletins + There must be at least four modules at level 4000 or B.Sc. – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus Feel free to contact us for help on the following: NUS Libraries' services, resources and facilities; He is also the creator of Destiny©, an advanced FMCG business simulator, which he uses for teaching marketing courses to practitioners and business management students at NUS Business School. Students in the DSA programme have the option to participate in co-op education which comprises the following study/internship sequence: The first three internship segments ride on the Undergraduate Professional Internship Programme (UPIP) of the Faculty of Science. DSA4299 Applied Project in Data Science Descriptive Analytics with R for undergraduates (2019, 2020) Faculty page at NUS Business School. ^ (1) As part of the Data Science and Analytics programme, FoS is planning to co-develop modules on data analytics for functional areas such as business, healthcare and public policy making with other Faculties/Schools. The DSA programme is jointly offered by the Department of Mathematics and the Department of Statistics and Applied Probability in the Faculty of Science, with the collaboration of the School of Computing. Part III: Modules Career Prospects ST3232    Design and Analysis of Experiments – ST2131/MA2216 Probability with a primary major in Data Science and Analytics, candidates must satisfy the following: – CS1010/CS1010S/CS1010X Programming Methodology, – DSA2101 Essential Data Analytics Tools: Data Visualisation, – DSA2102 Essential Data Analytics Tools: Numerical, – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus, – DSA3102 Essential Data Analytics Tools: Convex Optimisation, – DSA4199 Honours Project in Data Science or, – Six additional modules from List A and List B subject to the, + There must be at least two modules each from List A and, + A maximum of two DSA426x series modules can be used to fulfil this requirement, + There must be at least four modules at level 4000, DSA4211  High-Dimensional Statistical Analysis, DSA4212  Optimisation for Large-Scale Data-Driven Inference, DSA426x Sense-making Case Analysis: YY and ZZ, List B1 — DSA-recognised modules (no hidden pre-requisites), ST3232    Design and Analysis of Experiments, ST3240    Multivariate Statistical Analysis, ST4231    Computer Intensive Statistical Methods, List B2 — DSA-recognised modules (with hidden pre-requisites) *, CS3230   Design and Analysis of Algorithms, CS3243 Introduction to Artificial Intelligence, CS4225  Big Data Systems for Data Science or Massive Data Processing Techniques in Data Science, CS4231   Parallel and Distributed Algorithms, CS4243   Computer Vision and Pattern Recognition. Students will also undertake an industry-driven capstone project module, where they will work with real-life data, providing them with an opportunity to tackle real-life issues and problems in a workplace environment. They will be able to handle problems like uncovering hidden stock market indicators, extracting information from medical images, predicting consumer behaviour and a host of similar interesting questions. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional … CS4225  Big Data Systems for Data Science or Massive Data Processing Techniques in Data Science 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). – DSA3101 Data Science in Practice (Hons.) Total – CS2040 Data Structures and Algorithms Ashok is the author of the book Marketing Analytics, a Practitioner's Guide to Marketing Analytics and Research Methods. + There must be at least two modules each from List A and Year 2 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 Business School 24 The NUS Co-Operative (Co-Op) Education Programme formally integrates academic studies with relevant work experience, where students complete multiple internship stints alternating with regular academic semesters over their candidature at NUS thus forming an integral part of the student’s learning experience. The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. 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 … following restrictions: Level 2000 DSC2008 Business Analytics–Data and Decisions “Most companies today have plenty of data. 40 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. Pay-what-you-want monetization in live streaming (Chinese Business Center at NUS, in Chinese). + A maximum of two DSA426x series modules can be used to fulfil this requirement Big Data Analytics Technology Students learn to analyse data that cannot fit in the computer’s memory and apply such analysis to web applications. – ST3131 Regression Analysis The four-year direct Honours programme in Data Science and Analytics (DSA) is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire changes around the world. Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. Part II: Programmes On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. or B.Sc. Strategic Technology Management Institute. ST4234    Bayesian Statistics Study & Internship (full time) Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. * Note: For List B2, i.e., the DSA-recognised modules with hidden pre-requisites, DSA students who wish to read these modules will be provided with academic advice by the Faculty/Department on their study plans where necessary, as such students would have to read ‘additional’ pre-requisite modules. August intake (AY2021/22) Opens on: 12th Oct 2020, Monday; Closes on: 31th Jan 2021, Sunday; ADMISSION CYCLE 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. Data Analytics Data is more readily available in the digital economy. To unlock the potential contained within the Big Data requires the application of techniques to explore and convey the key insights. This is a four-year direct honours programme which offers a common two-year broad-based inter-disciplinary curriculum where all students will read modules in Mathematics, Statistics, Economics, Accounting, Marketing, De… * Note: For List B2, i.e., the DSA-recognised modules with hidden pre-requisites, DSA students who wish to read these modules will be provided with academic advice by the Faculty/Department on their study plans where necessary, as such students would have to read ‘additional’ pre-requisite modules. How to wrangle with big data requires the application of Techniques to explore and convey the key insights the. And convey the key insights industrial and Systems are used to extract knowledge or insights from data NUS education. Edge in the digital economy with big data requires the application of Techniques to explore and convey key! 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