CS3243 Introduction to Artificial Intelligence DSA4211  High-Dimensional Statistical Analysis ST4248    Statistical Learning II Study The emerging phenomena of Big Data – large pools of data sets that can be captured, communicated, aggregated, stored, and analyzed – has presented companies and organisations with trillions of bytes of information about their customers, suppliers, and operations. 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. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. This capability based on data analytics is emerging as a critical factor to achieve competitive advantage. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. This course is part of the Data Science and Graduate Certificate in Advanced Predictive Modelling Techniques Series offered by NUS-ISS. + A maximum of two DSA426x series modules can be used to fulfil this requirement Major Requirements 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. MA3252   Linear and Network Optimisation Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. 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. ST3247    Simulation 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. – CS2040 Data Structures and Algorithms His research interests are in the domain of data-driven decision-making and optimization under uncertainty.   20 MCs 16 Pay-what-you-want monetization in live streaming (Chinese Business Center at NUS, in Chinese). 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 Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). 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. MSc with Data Analytics Specialization. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. University Scholars Programme The skills to make sense of data will enable you to make better informed decisions.   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. Bachelor of Science/Bachelor of Science (Hons) Programme Requirements [BSc/BSc (Hons)], D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. To be awarded a B.Sc. 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. To be awarded a B.Sc. ST3233    Applied Time Series Analysis NUS Bulletin AY2020/21 Provost's Welcome Message Part I: General. 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 … Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. School of Business Teaching Institutions Feel free to contact us for help on the following: NUS Libraries' services, resources and facilities; 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). 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. Year 4 Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. NUS Business Analytics Centre (BAC) NUS BAC offers the Master of Science in Business Analytics programme, develops business analytics professionals and collaborate with industry partners to meet the needs of companies across various industries actively seeking for talent who excel in the analytics … The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. However, creating intelligence and gleaning real insights from this data is what continues to elude organisations.” – Competing on Analytics: The New Science of Winning. Welcome to the Department of Analytics & Operations (DAO)! and 4000 It also combines data analytics with machine learning. DSA4299 Applied Project 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). 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 Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. 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 … Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. AY2015/16. Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech   with a primary major in Data Science and Analytics, candidates must satisfy the following: School of Design & Environment 96 MCs Study 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. 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. 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. Faculty Requirements University Requirements 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. (Hons.) 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. Prior to joining NUS Business School, he was a research staff at Texas A&M University. CS4243   Computer Vision and Pattern Recognition Faculty of Science Internship (full time) The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data … DSA426x Sense-making Case Analysis: YY and ZZ Pass 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. He elaborated, “NUS has extensive strengths in data analytics, operations research and cybersecurity. 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). Co-Operative Education ST4234    Bayesian Statistics 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. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. DSC2008 Business Analytics–Data and Decisions “Most companies today have plenty of data. – ST2132 Mathematical Statistics The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional … On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. 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. following restrictions: Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. Held in Singapore. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. About NUS 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. Data is more readily available in the digital economy. Students under the NUS co-operative education programme will need to take BT4011 Business Analytics Capstone Industry Project rather than BT4101. Big Data Analytics Technology Students learn to analyse data that cannot fit in the computer’s memory and apply such analysis to web applications. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. Data is the oil, and data visualisation is the engine that facilitates its true value. 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. 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. Saw Swee Hock School of Public Health 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. Year 2 About NUS Programme Structure and Curriculum Rationale 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. Summary of Requirements Duke-NUS Medical School from National University of Singapore. Learn big data and data … (Hons.) Internship (full time) NUS Mods School of Computing APPLICATION PERIOD #1. ST3239    Survey Methodology 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. – ST3131 Regression Analysis August intake (AY2021/22) Opens on: 12th Oct 2020, Monday; Closes on: 31th Jan 2021, Sunday; ADMISSION CYCLE MA3236   Nonlinear Programming A specialist in the area of Analytics, Dr Lek has been involved in Big Data Analytics for the past 6 years. 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. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. or B.Sc. 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. Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. 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. It i… Faculty of Arts & Social Sciences Our suite of data analytics courses cater to you wherever you are starting from and however in-depth you wish to develop your skills for the workplace. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. 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. Xiong Peng is currently a Lecturer in the Department of Analytics & Operations, NUS Business School.   36 MCs The last two internship segments take the form of an Honours-level project (DSA4299). 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