About NUS – CS3244 Machine Learning Module Level On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. – DSA3101 Data Science in Practice Descriptive Analytics with R for undergraduates (2019, 2020) Faculty page at NUS Business School. ST3232    Design and Analysis of Experiments 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. 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. Programme Structure and Curriculum Rationale. Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. This capability based on data analytics is emerging as a critical factor to achieve competitive advantage. A specialist in the area of Analytics, Dr Lek has been involved in Big Data Analytics for the past 6 years. DSC2008 Business Analytics–Data and Decisions “Most companies today have plenty of data. 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. + A maximum of two DSA426x series modules can be used to fulfil this requirement CS3223   Database Systems Implementation Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. from National University of Singapore. Build a data-driven organisation. Study 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. Academic Calendar Pay-what-you-want monetization in live streaming (Chinese Business Center at NUS, in Chinese). MSc with Data Analytics Specialization. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. This subject guide covers resources available at the NUS Libraries. 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 …   Business decisions are often made under uncertainty. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. She has been awarded the NUS Annual Teaching Excellence Award and was placed on the Honour Roll for her commitment and performance in teaching. 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. 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 Big data is now part of every industry sector and function of the global economy. 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. following restrictions: Unrestricted Elective Modules Internship (full time) 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. 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. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. Feel free to contact us for help on the following: NUS Libraries' services, resources and facilities; 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. Cumulative Major MCs He elaborated, “NUS has extensive strengths in data analytics, operations research and cybersecurity. Major Requirements Level 2000 Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech List A — DSA modules About NUS The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Major Requirements Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. WHY CHOOSE NUS MSc IN MARKETING ANALYTICS AND INSIGHTS? However, creating intelligence and gleaning real insights from this data is what continues to elude organisations.” – Competing on Analytics: The New Science of Winning. Prior to joining NUS Business School, he was a research staff at Texas A&M University. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. Administrative Policies / Procedures 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. ST3233    Applied Time Series Analysis – ST3131 Regression Analysis Students under the NUS co-operative education programme will need to take BT4011 Business Analytics Capstone Industry Project rather than BT4101. 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. 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 … Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. – ST2132 Mathematical Statistics NUS Bulletin AY2020/21 ST3247    Simulation The last two internship segments take the form of an Honours-level project (DSA4299). Operations managers champion efficiency and the competitive strategy. This course is part of the Data Science and Graduate Certificate in Advanced Predictive Modelling Techniques Series offered by NUS-ISS. Bulletin Updates Total 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. * 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. ST3240    Multivariate Statistical Analysis School of Business Pass or B.Sc. 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. ST4234    Bayesian Statistics DSC2008 Business Analytics–Data and Decisions “Most companies today have plenty of data. Learn big data and data … Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . University Requirements Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. ^ (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. Study & Internship (full time) His research interests are in the domain of data-driven decision-making and optimization under uncertainty. – Six additional modules from List A and List B subject to the * 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. or B.Sc. CS3230   Design and Analysis of Algorithms   8 MCs* – MA1102R Calculus University Scholars Programme + There must be at least two modules each from List A and He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. 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 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. On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. – DSA2101 Essential Data Analytics Tools: Data Visualisation The last two internship segments take the form of an Honours-level project (DSA4299). Welcome to the Department of Analytics & Operations (DAO)! CS4243   Computer Vision and Pattern Recognition The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data …   36 MCs Study Faculty of Science Programme Structure and Curriculum Rationale NUS MSBA Application Checklist - AY2021/2022 Program Description. – DSA4199 Honours Project in Data Science or Year 4 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 module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. 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. 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 MA4270 Data Modelling and Computation 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. 96 At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. AY2015/16. AY2018/19 – MA1101R Linear Algebra I Semester 1 The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. 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. Data Science and Analytics at NUS There is a substantial shortfall worldwide in data scientists — individuals with expertise in data analytics. List B1 — DSA-recognised modules (no hidden pre-requisites) 16 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). DSA4212  Optimisation for Large-Scale Data-Driven Inference Held in Singapore. Part II: Programmes The new NUS Institute of Data Science will coordinate these interdisciplinary efforts and create a critical mass of researchers focused on this important area of research. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. August intake (AY2021/22) Opens on: 12th Oct 2020, Monday; Closes on: 31th Jan 2021, Sunday; ADMISSION CYCLE MSc with Data Analytics Specialization. Duke-NUS Medical School Xiong Peng is currently a Lecturer in the Department of Analytics & Operations, NUS Business School. The skills to make sense of data will enable you to make better informed decisions. Our Marketing Analytics & Insights (MAI) programme is designed to be relevant to the world of big data and analytics. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. (Hons.) 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. Saw Swee Hock School of Public Health AY2017/18 Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. 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. 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. 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. Career Prospects 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. 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. 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. ST3239    Survey Methodology 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). Other Multidisciplinary/ Special Programmes ST3248    Statistical Learning I Academic Information / Policies School of Design & Environment (24 MCs) Faculty of Law CS4234   Optimisation Algorithms Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. Department of Analytics & Operations Welcome to the Department of Analytics & Operations (DAO)! Computation 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. CS4224   Distributed Databases To be awarded a B.Sc. 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