nus data analytics

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. 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. Academic Information / Policies 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. Part I: General from List B1/ List B2 The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. DSC2008 Business Analytics–Data and Decisions “Most companies today have plenty of data. Levels 3000 DSA4299 Applied Project in Data Science The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional … Yale-NUS College ^ (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. University Scholars Programme Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. – CS3244 Machine Learning 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. CS4231   Parallel and Distributed Algorithms Internship (full time) Prior to joining NUS Business School, he was a research staff at Texas A&M University. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market.   36 MCs AY2018/19 Faculty of Arts & Social Sciences 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. Academic Calendar 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. Study Ashok is the author of the book Marketing Analytics, a Practitioner's Guide to Marketing Analytics and Research Methods. Major Requirements MA4270 Data Modelling and Computation List B1 — DSA-recognised modules (no hidden pre-requisites) Provost's Welcome Message He specialises in the transformation of organisations, operations, and services using data, analytics, and artificial intelligence. 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. Welcome to the Department of Analytics & Operations (DAO)! School of Computing Business decisions are … Duke-NUS Medical School   (Hons.) – DSA1101 Introduction to Data Science It also combines data analytics with machine learning. 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. CS3230   Design and Analysis of Algorithms 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. Study & Internship (full time) Programme Structure and Curriculum Rationale – ST3131 Regression Analysis Study Semester 2 Special Term It also combines data analytics with machine learning. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. 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. 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. 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. Co-Operative Education Year 4 * 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. Pass Module Level 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. Data is more readily available in the digital economy. ST3239    Survey Methodology – MA1101R Linear Algebra I This subject guide covers resources available at the NUS Libraries. Semester 1 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. Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. 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. Learn big data and data … Faculty of Engineering Study CS3243 Introduction to Artificial Intelligence 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. – ST2131/MA2216 Probability Bulletin Updates He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. – MA1102R Calculus List B2 — DSA-recognised modules (with hidden pre-requisites) * 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 skills to make sense of data will enable you to make better informed decisions. NUS Mods 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. Part III: Modules Pay-what-you-want monetization in live streaming (Chinese Business Center at NUS, in Chinese). Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. August intake (AY2021/22) Opens on: 12th Oct 2020, Monday; Closes on: 31th Jan 2021, Sunday; ADMISSION CYCLE 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. 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). 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. – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus Administrative Policies / Procedures 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 skills to make sense of data will enable you to make better informed decisions. Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . NUS MSBA Application Checklist - AY2021/2022 Program Description. – CS1010/CS1010S/CS1010X Programming Methodology The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . Part IV: Archived Bulletins 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. + There must be at least two modules each from List A and 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 Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. Students in the DSA programme have the option to participate in co-op education which comprises the following study/internship sequence:   20 MCs or B.Sc. Teaching Institutions MA4230   Matrix Computation MSc with Data Analytics Specialization. DSC2008 Business Analytics–Data and Decisions “Most companies today have plenty of data.

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. – DSA3102 Essential Data Analytics Tools: Convex Optimisation * 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. 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. Year 3 This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. Date 5 July 2021 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. – CS2040 Data Structures and Algorithms The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. 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). Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. AY2015/16. Computation Faculty of Law 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. Study 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. Graduation Requirements 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 … Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. ST3232    Design and Analysis of Experiments Faculty of Science At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. DSA426x Sense-making Case Analysis: YY and ZZ 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). University Requirements Our Marketing Analytics & Insights (MAI) programme is designed to be relevant to the world of big data and analytics. Faculty Requirements Feel free to contact us for help on the following: NUS Libraries' services, resources and facilities; – DSA2102 Essential Data Analytics Tools: Numerical CS4225  Big Data Systems for Data Science or Massive Data Processing Techniques in Data Science (Hons.) – DSA3101 Data Science in Practice 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. NUS Bulletin AY2020/21 Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. CS4234   Optimisation Algorithms from National University of Singapore. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] 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. Cumulative Major MCs (56 MCs) Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. However, creating intelligence and gleaning real insights from this data is what continues to elude organisations.” – Competing on Analytics: The New Science of Winning. MA3236   Nonlinear Programming 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. On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech   8 MCs* 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. ST4248    Statistical Learning II 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. It i… This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. Institute of Systems Science WHY CHOOSE NUS MSc IN MARKETING ANALYTICS AND INSIGHTS? It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. Total The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. ST4234    Bayesian Statistics 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. 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. She has been awarded the NUS Annual Teaching Excellence Award and was placed on the Honour Roll for her commitment and performance in teaching. School of Business Students under the NUS co-operative education programme will need to take BT4011 Business Analytics Capstone Industry Project rather than BT4101. CS4248   Natural Language Processing Level 1000 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. Part II: Programmes 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. B.Acc, National University of Singapore Ruth is an Associate Professor of Finance who teaches Financial Markets, Financial Management and Corporate Finance. Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. 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 – Six additional modules from List A and List B subject to the 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. 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. Yong Siew Toh Conservatory of Music 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). Career Prospects Business decisions are often made under uncertainty. Note that the BT4101 project selection process takes place one semester ahead of the semester in which the students commence BT4101. Yong Loo Lin School of Medicine Held in Singapore. The first three internship segments ride on the Undergraduate Professional Internship Programme (UPIP) of the Faculty of Science.

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