nus data analytics

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. – DSA2102 Essential Data Analytics Tools: Numerical The skills to make sense of data will enable you to make better informed decisions. Big data is now part of every industry sector and function of the global economy. Institute of Systems Science Held in Singapore. ^ (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. Build a data-driven organisation. 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. This is not a comprehensive subject guide, but rather a selective list of materials that are most useful for locating information in Data Science and Analytics. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. NUS Mods 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. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. – DSA3101 Data Science in Practice Total Our stackable modules give learners the ability to choose the exact set of skills they want to master. or B.Sc. AY2015/16. NUS Graduate School for Integrative Sciences and Engineering Teaching Institutions He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Other Multidisciplinary/ Special Programmes We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] Part IV: Archived Bulletins 16 (Hons.) 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. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. Academic Information / Policies Co-Operative Education His research interests are in the domain of data-driven decision-making and optimization under uncertainty. Department of Analytics & Operations Welcome to the Department of Analytics & Operations (DAO)! 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 … Big Data Analytics Technology Students learn to analyse data that cannot fit in the computer’s memory and apply such analysis to web applications. Education at NUS Business decisions are … 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. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. ST4234    Bayesian Statistics The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Yong Siew Toh Conservatory of Music CS4234   Optimisation Algorithms Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. List B2 — DSA-recognised modules (with hidden pre-requisites) * (56 MCs) Study & Internship (full time) – CS3244 Machine Learning CS5340   Uncertainty Modelling in AI However, creating intelligence and gleaning real insights from this data is what continues to elude organisations.” – Competing on Analytics: The New Science of Winning. Please refer to Section S of Part II of this bulletin for details. Bee Luan is a passionate educator with more than 14 years of teaching experience in an institute of higher learning. 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. School of Continuing and Lifelong Education 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. CS4243   Computer Vision and Pattern Recognition 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. 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. Pay-what-you-want monetization in live streaming (Chinese Business Center at NUS, in Chinese). 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. Pass – ST3131 Regression Analysis 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. 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. Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). Career Prospects Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech ST3240    Multivariate Statistical Analysis 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). Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. 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 School of Computing 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. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. CS3223   Database Systems Implementation 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. School of Design & Environment 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. 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. To be awarded a B.Sc. Business decisions are often made under uncertainty. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. The skills to make sense of data will enable you to make better informed decisions. ST3232    Design and Analysis of Experiments Major Requirements + A maximum of two DSA426x series modules can be used to fulfil this requirement 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 is the oil, and data visualisation is the engine that facilitates its true value. * 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. 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   8 MCs* 96 MCs CS3243 Introduction to Artificial Intelligence 40 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). DSA426x Sense-making Case Analysis: YY and ZZ List B1 — DSA-recognised modules (no hidden pre-requisites) The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional … Study 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 … 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. B.Sc. The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. Under the NUS Annual teaching Excellence Award and was placed on the Honour Roll for her commitment and in! Business Analytics–Data and decisions that add value area of Analytics & Operations ( DAO ) Yan ( data Science Analytics! Convey the key insights a Practitioner 's guide to Marketing Analytics & Operations, NUS Business Analytics Capstone industry rather. 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