– CS1010/CS1010S/CS1010X Programming Methodology The programme will be … Administrative Policies / Procedures * 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 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. Year 3 3.3.3.8 Physics 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. ST3248    Statistical Learning I 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. Special Term We pride ourselves on providing the strongest technical foundation available at any institution in Singapore, across all sub-disciplines of computing. School of Continuing and Lifelong Education Provost's Welcome Message Pass 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. Duke-NUS Medical School 3.3.3.5 Life Sciences. Yale-NUS College AY2016/17 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. CS3223   Database Systems Implementation On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. 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 last two internship segments take the form of an Honours-level project (DSA4299). ST3233    Applied Time Series Analysis Internship (full time) Part III: Modules Teaching Institutions 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. These are just a few of the opportunities you'll have as a Computer Science student at NUS. (24 MCs) Bulletin Updates – ST3131 Regression Analysis 3.3.3.5 Life Sciences   8 MCs* Institute of Systems Science 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. The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. NUS Life Sciences. Semester 2 University Requirements NUS Mods List B1 — DSA-recognised modules (no hidden pre-requisites) 3.3.3.10 Statistics Internship (full time) 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) . 3.3.3 Bachelor of Science/Bachelor of Science (Hons) Programme Requirements [BSc/BSc (Hons)] ... 3.3.3.4 Data Science and Analytics.   Core topics include data modeling, data management, data mining, continuous and categorical data methods and applications, teamwork, and communication. School of Design & Environment Level 2000 Internship (full time) Yong Siew Toh Conservatory of Music NUS Bulletin AY2020/21 ST4231    Computer Intensive Statistical Methods – DSA1101 Introduction to Data Science Programme Structure and Curriculum Rationale Semester 1 CS3243 Introduction to Artificial Intelligence Faculty of Law Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. Faculty of Engineering AY2017/18 Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. (Hons.) Students with GCE “A” Level (H2) or Equivalent Qualification 3.3.3.2 Computational Biology CS3210   Parallel Computing 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. 21 Lower Kent Ridge Road Singapore 119077 +65 6516 6666; Most Data Science and Big Data courses are offered as B.Sc. 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. Study Yong Siew Toh Conservatory of Music 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. NUS Bachelor of Technology in Engineering. 3.3.3.4 Data Science and Analytics It usually takes 3 years to graduate in most countries and 4 years if you study in the United States. MA3236   Nonlinear Programming Faculty of Law The NUS Department of Pharmacy has been running the Master of Science in Pharmaceutical Science and Technology [MPST] programme since 2008. School of Business 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. 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. Part IV: Archived Bulletins Faculty Requirements AY2016/17 Programme Structure and Curriculum Rationale. SINGAPORE, 27 May 2016 – The National University of Singapore (NUS) and Microsoft today inked a Memorandum of Understanding (MoU) to collaborate on data science education and research.As part of this collaboration, Microsoft also becomes the first industry partner of the newly-launched NUS … from List B1/ List B2 ST3247    Simulation Part IV: Archived Bulletins Faculty of Science DSA4299 Applied Project in Data Science 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. 3.3.3.9 Quantitative Finance School of Computing ... National University of Singapore. 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. CHS offers students access to a wide variety of major and minor combinations from both FASS and FOS so that you can chart your own pathway. Year 2 or B.Sc. Inspired to explore an interdisciplinary education? Total It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. Study & Internship (full time) – DSA3102 Essential Data Analytics Tools: Convex Optimisation mathematics, applied mathematics, statistics and physics) into practitioners. 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. 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. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. following restrictions: Academic Calendar The last two internship segments take the form of an Honours-level project (DSA4299). Pass and 4000 Co-Operative Education Graduates with Bachelor (Hons) degrees in Quantitative Sciences (e.g. The first three internship segments ride on the Undergraduate Professional Internship Programme (UPIP) of the Faculty of Science. – DSA2101 Essential Data Analytics Tools: Data Visualisation Saw Swee Hock School of Public Health Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS).Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. – Six additional modules from List A and List B subject to the School of Computing + A maximum of two DSA426x series modules can be used to fulfil this requirement NUS Graduate School for Integrative Sciences and Engineering 40 Lee Kuan Yew School of Public Policy 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… Yong Loo Lin School of Medicine ST3240    Multivariate Statistical Analysis ST4248    Statistical Learning II Study Institute of Systems Science To find out the various major courses we have, please click here. 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. – CS2040 Data Structures and Algorithms 96 Centre for English Language and Communication Study 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. Bachelor of Science (Honours) with Major in Data Science and Analytics. Faculty of Dentistry Teaching Institutions Summary of Requirements Level 1000 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. 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. – MA1101R Linear Algebra I University Town 2 College Avenue West, #01-03 (Stephen Riady Centre) Singapore 138607 Cumulative Major MCs Yale-NUS College School of Business – MA1102R Calculus 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. Administrative Policies / Procedures Part III: Modules Centre for English Language and Communication Oftentimes, big data involves more fine-grained data that allows the investigation of more micro processes. + There must be at least two modules each from List A and 160 MCs Part II: Programmes CS4231   Parallel and Distributed Algorithms Education at NUS mathematics, applied mathematics, statistics and physics) into practitioners. Graduation Requirements Apply to NUS Science. 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. List B2 — DSA-recognised modules (with hidden pre-requisites) * – DSA3101 Data Science in Practice ST4234    Bayesian Statistics AY2018/19 (Bachelor of Science) degrees. Academic Information / Policies 16 About NUS Career Prospects CS3230   Design and Analysis of Algorithms Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. ST3232    Design and Analysis of Experiments The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. 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). for specific MCs requirements with respect to their chosen major. – CS3244 Machine Learning Academic Information / Policies Students are advised to refer to Sections 3.3.3 [Bachelor of Science/Bachelor of Science (Hons.) Academic Calendar 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. Computation CS4225  Big Data Systems for Data Science or Massive Data Processing Techniques in Data Science AY2018/19 Students in the DSA programme have the option to participate in co-op education which comprises the following study/internship sequence: MA4270 Data Modelling and Computation Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. ST3239    Survey Methodology (Hons.) Study Education at NUS University Scholars Programme Major Requirements 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. – DSA2102 Essential Data Analytics Tools: Numerical – ST2131/MA2216 Probability The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. Yong Loo Lin School of Medicine – DSA4199 Honours Project in Data Science or 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. Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. DSA4211  High-Dimensional Statistical Analysis CS4224   Distributed Databases or B.Sc. CS4248   Natural Language Processing (Hons.) – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus 3.3.3.1 Chemistry Faculty of Arts & Social Sciences Part I: General CS5340   Uncertainty Modelling in AI While Data Science or Big Data courses offer a well-rounded education, it is impossible to be an expert in everything related to data. Year 1 Part I: General CS4234   Optimisation Algorithms AY2015/16. NUS Graduate School for Integrative Sciences and Engineering The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. 96 MCs MA3252   Linear and Network Optimisation DSA426x Sense-making Case Analysis: YY and ZZ 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. Lee Kuan Yew School of Public Policy CS4243   Computer Vision and Pattern Recognition (16 MCs) Dr. Amirhassan Monajemi . List A — DSA modules * 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. 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. NUS Mods 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. with a primary major in Data Science and Analytics, candidates must satisfy the following: About NUS 3.3.3.6 Mathematics and Applied Mathematics 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). MA4230   Matrix Computation 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. (56 MCs) 3.3.3.3 Food Science and Technology 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. Study & Internship (full time) 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. 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. Our Faculty offers a variety of major courses under the Bachelor of Science [3 years] and Bachelor of Science (Honours) [4 years] degree programmes. NUS Computing, School of Computing, National University of Singapore, NUS, Singapore Universities NUS Computing. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. 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 … 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 four modules at level 4000 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. Minimum Entry Requirements. Welcome to NUS Department of Statistics & Applied Probability.   20 MCs Bulletin Updates To be awarded a B.Sc. This programme will help to meet the growing demands for big-data professionals by transforming graduates with Bachelor degrees in quantitative science (e.g. 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. The curriculum incorporates inter-disciplinary learning from computer science, mathematics and statistics. Statistics (with specialisation in Data Science) Statistics (with specialisation in Finance and Business Statistics) ... Joint Bachelor of Science (Honours) NUS and Bachelor of Philosophy (Honours) ANU ... National University of Singapore. Part II: Programmes Faculty of Arts & Social Sciences On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. With deep connections at leading companies, NUS offers a truly immersive Computer Science education. B.Sc. It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. Pass To be awarded a B.Sc. * 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. School of Design & Environment 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. NUS’ Faculty of Science is the first in Singapore to offer a four-year direct honours programme leading to a Bachelor of Science in Data Science and Analytics. University Scholars Programme Provost's Welcome Message Big data does not necessarily mean data at a more macro scale. DSA4212  Optimisation for Large-Scale Data-Driven Inference Module Level Unrestricted Elective Modules Major Requirements 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. 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