Apply to NUS Science. 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 NUS Bachelor of Technology (BTech) programme is specially designed for polytechnic graduates working in the industry and taught by highly-qualified faculty members in advanced teaching facilities at NUS. Faculty of Engineering About Description: The NUS PhD (Data Science) programme is jointly hosted by the NUS Graduate School for Integrative Sciences and Engineering (NGS) and the NUS Institute of Data Science (IDS). With deep connections at leading companies, NUS offers a truly immersive Computer Science education. University Scholars Programme – CS3244 Machine Learning The landmark NUS Pharmaceutical Science degree programme, which was offered from AY2018/2019, trains students in a range of foundational sciences, including drug discovery and development, as well as understanding of the regulatory and commercial environment in the pharmaceutical industry. Programme Requirements] and 3.3.4 [Bachelor of Pharmacy/Bachelor of Pharmacy (Hons.)] It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. or B.Sc.   20 MCs CS5340   Uncertainty Modelling in AI Centre for English Language and Communication Faculty of Science ST3239    Survey Methodology 96 The NUS Department of Pharmacy has been running the Master of Science in Pharmaceutical Science and Technology [MPST] programme since 2008. The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. 3.3.3.9 Quantitative Finance NUS Graduate School for Integrative Sciences and Engineering Internship (full time) 3.3.3.10 Statistics CS3243 Introduction to Artificial Intelligence NUS Computing, School of Computing, National University of Singapore, NUS, Singapore Universities NUS Computing. About NUS Programme Structure and Curriculum Rationale (Bachelor of Science) degrees. AY2018/19 MA4230   Matrix Computation AY2016/17 NUS Mods The Graduate Certificate (GC) in Data Mining and Interpretation (DMI) aims to provide students with in-depth knowledge in data science, practical skills in mining big data and state-of-the-art techniques of machine learning applications in data analytics, which are critical in solving industrial big-data problems. The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data for business competitiveness. Choose from multiple specialisations The programme offers multiple data science specialisations, and is jointly offered by the Faculty of Science’s Department of Mathematics, Department of Statistics and Applied Probability, and Department of Computer Science. 3.3.3.4 Data Science and Analytics 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, Dec… Internship (full time) (56 MCs) Machine learning is an exciting and fast-moving field in data science with many real-world applications and it has become a powerful tool for the analysis of large data sets. NUS Life Sciences. 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. Study Level 1000 The NUS PhD (Data Science) programme is jointly hosted by the NUS Graduate School for Integrative Sciences and Engineering (NGS) and the NUS Institute of Data Science (IDS). – MA1101R Linear Algebra I and 4000 Bachelor of Science in Data Science and Artificial Intelligence (New programme from AY18/19 onward) NTU_PageContent This is a full time four-year direct honours BSc degree programme jointly offered by SCSE and SPMS for students who aspire to master the demands of integrating the synergistic disciplines of computer science and statistics. MA3252   Linear and Network Optimisation NUS Bulletin AY2020/21 To address the spectrum of issues in data analytics, this curriculum has been designed to include core courses in statistical topics as well as areas for advanced applications of data analytics in unique fields. AY2018/19 The NUS MSc in Data Science and Machine Learning is supported by leading NUS researchers in data science as well as data scientists from industry. Part I: General The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. School of Continuing and Lifelong Education On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. CS4248   Natural Language Processing Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. University Requirements In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary.   * 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. List B2 — DSA-recognised modules (with hidden pre-requisites) * 160 MCs ST3240    Multivariate Statistical Analysis Yong Siew Toh Conservatory of Music NUS Bachelor of Technology in Engineering. To find out the various major courses we have, please click here. This programme will help to meet the growing demands for big-data professionals by transforming graduates with Bachelor degrees in quantitative science (e.g. University Scholars Programme – DSA2101 Essential Data Analytics Tools: Data Visualisation Academic Information / Policies Faculty of Engineering Major Requirements We pride ourselves on providing the strongest technical foundation available at any institution in Singapore, across all sub-disciplines of computing. 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. 3.3.3.1 Chemistry following restrictions: AY2017/18 Inspired to explore an interdisciplinary education? Faculty of Science AY2015/16, 3.3.3.6 Mathematics and Applied Mathematics, 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. School of Business Part III: Modules Bachelor of Science (Honours) with Major in Data Science and 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. The four-year direct Honours programme is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire change around the world. While Data Science or Big Data courses offer a well-rounded education, it is impossible to be an expert in everything related to data. IDS is a research institute that will be the focal point for all data science research and translation, education and related activities at NUS, which aims to contribute to Singapore’s Smart Nation initiative by developing deep and strategic capabilities in data science, analytics and optimisation, and cybersecurity. Core topics include data modeling, data management, data mining, continuous and categorical data methods and applications, teamwork, and communication. This one-year programme will help to meet the growing demands for big-data professionals by transforming graduates with Bachelor degrees in quantitative science (e.g. Faculty of Arts & Social Sciences 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. School of Computing It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. Bulletin Updates DSA4211  High-Dimensional Statistical Analysis School of Design & Environment Total (Hons.) Centre for English Language and Communication Part I: General 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. – DSA4199 Honours Project in Data Science or CS4234   Optimisation Algorithms Administrative Policies / Procedures Provost's Welcome Message + A maximum of two DSA426x series modules can be used to fulfil this requirement Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. Welcome to NUS Department of Statistics & Applied Probability. Students with GCE “A” Level (H2) or Equivalent Qualification 3.3.3.5 Life Sciences – ST3131 Regression Analysis mathematics, applied mathematics, statistics and physics) into practitioners. 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. Education at NUS Faculty of Law Institute of Systems Science Pass Year 2 (16 MCs) The Department of Statistics and Applied Probability (DSAP) was established in 1 April 1998 with the goals to advance statistical and data science, and, ultimately by its application, to improve and provide adequate services to our community. Students are advised to refer to Sections 3.3.3 [Bachelor of Science/Bachelor of Science (Hons.) Minimum Entry Requirements. AY2016/17 Lee Kuan Yew School of Public Policy CS3230   Design and Analysis of Algorithms ST3247    Simulation Teaching Institutions Yong Loo Lin School of Medicine 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. Yale-NUS College 3.3.3.5 Life Sciences. Study & Internship (full time) School of Computing Saw Swee Hock School of Public Health To be awarded a B.Sc. For Cohort AY2020/21 and earlier: With the exception of Computational Biology, Data Science and Analytics, Environmental Studies and Pharmacy which are strictly four-year programmes, all majors allow students to graduate with a Bachelor’s degree. with a primary major in Data Science and Analytics, candidates must satisfy the following: Part IV: Archived Bulletins Teaching Institutions   36 MCs (Hons.) NUS Bulletin AY2020/21 Other Multidisciplinary/ Special Programmes NUS PhD (Data Science) The NUS PhD (Data Science) programme is jointly hosted by the NUS Graduate School for Integrative Sciences and Engineering (NGS) and the Institute of Data Science (IDS).It prepares students with a distinctive set of interdisciplinary skills for careers in academia or industry. DSA426x Sense-making Case Analysis: YY and ZZ   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. Study & Internship (full time) AY2017/18 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. ST4234    Bayesian Statistics DSA4299 Applied Project in Data Science New Memorandum of Understanding aims to accelerate innovation and skills for a Smart Nation. Semester 1 + There must be at least four modules at level 4000 Cumulative Major MCs NUS Graduate School for Integrative Sciences and Engineering Life Sciences Major provides comprehensive training on the essential concepts and the latest research techniques critical to the diverse spectrum of disciplines within and beyond biological and biomedical fields. School of Design & Environment ST3233    Applied Time Series Analysis Duke-NUS Medical School 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. Bulletin Updates – DSA1101 Introduction to Data Science Unrestricted Elective Modules 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 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. – MA1102R Calculus – DSA2102 Essential Data Analytics Tools: Numerical – DSA3101 Data Science in Practice Semester 2 Part II: Programmes 96 MCs Oftentimes, big data involves more fine-grained data that allows the investigation of more micro processes. 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. Year 1 Study School of Continuing and Lifelong Education Programme Structure and Curriculum Rationale. CS4225  Big Data Systems for Data Science or Massive Data Processing Techniques in Data Science   8 MCs* The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. These are just a few of the opportunities you'll have as a Computer Science student at NUS. – CS2040 Data Structures and Algorithms MA3236   Nonlinear Programming – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus 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. 3.3.3.8 Physics ... National University of Singapore. 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. 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. Faculty of Dentistry The last two internship segments take the form of an Honours-level project (DSA4299). Duke-NUS Medical School CS4224   Distributed Databases from List B1/ List B2 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. List B1 — DSA-recognised modules (no hidden pre-requisites) The Bachelor of Social Sciences (Honours in Actuarial Studies and Economics) is offered by the School of Finance and Applied Statistics, Faculty of Economics and Commerce, ANU and the Department of Economics, Faculty of Arts and Social Sciences, NUS. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. 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. Faculty of Law Part II: Programmes Study Saw Swee Hock School of Public Health + There must be at least two modules each from List A and DSA4212  Optimisation for Large-Scale Data-Driven Inference On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. – CS1010/CS1010S/CS1010X Programming Methodology Bachelor of Science in Business Analytics (with Honours*) ... you will gain a solid foundation in the statistical and analytical methods that make up the backbone of data science. The MSocSci in Communication programme, offered by the Department of Communications and New Media in NUS’ Faculty of Arts and Social Sciences, is the only one in Singapore that gives students the choice of specialising in one of three specific areas: Strategic Communication, Data and Communication, or Global Media Communication. AY2015/16. * 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 last two internship segments take the form of an Honours-level project (DSA4299). Provost's Welcome Message Academic Information / Policies B.Sc. Academic Calendar 40 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. 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