CS3223   Database Systems Implementation Faculty of Dentistry 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. Minimum Entry Requirements. (Hons.) To be awarded a B.Sc. List B2 — DSA-recognised modules (with hidden pre-requisites) *   20 MCs Pass Faculty of Arts & Social Sciences Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. 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. Saw Swee Hock School of Public Health from List B1/ List B2 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). Education at NUS Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big 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. NUS Bulletin AY2020/21 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. 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. DSA4299 Applied Project in Data Science 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. Bachelor of Science (Honours) with Major in Data Science and Analytics. Pass CS3243 Introduction to Artificial Intelligence Programme Requirements] and 3.3.4 [Bachelor of Pharmacy/Bachelor of Pharmacy (Hons.)] School of Business Teaching Institutions Oftentimes, big data involves more fine-grained data that allows the investigation of more micro processes. 96 MCs 3.3.3.5 Life Sciences. With deep connections at leading companies, NUS offers a truly immersive Computer Science education. 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. Academic Calendar – DSA1101 Introduction to Data Science with a primary major in Data Science and Analytics, candidates must satisfy the following: Yale-NUS College On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. Year 2 AY2017/18 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. 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. 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 … Level 1000 These are just a few of the opportunities you'll have as a Computer Science student at NUS. Semester 1 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. Computation Graduates with Bachelor (Hons) degrees in Quantitative Sciences (e.g. 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. 3.3.3.9 Quantitative Finance 40 Faculty of Science Centre for English Language and Communication (Hons.) 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. Part II: Programmes Bulletin Updates   * 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. Study 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. CS4225  Big Data Systems for Data Science or Massive Data Processing Techniques in Data Science following restrictions: The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. 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. 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… Academic Information / Policies To be awarded a B.Sc. Students with GCE “A” Level (H2) or Equivalent Qualification Inspired to explore an interdisciplinary education? (56 MCs) ST3232    Design and Analysis of Experiments Year 1 Level 2000 ... National University of Singapore. 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. 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. Study NUS Life Sciences. Total Institute of Systems Science School of Continuing and Lifelong Education 3.3.3.2 Computational Biology Bulletin Updates DSA426x Sense-making Case Analysis: YY and ZZ MA3252   Linear and Network Optimisation NUS Graduate School for Integrative Sciences and Engineering – ST3131 Regression Analysis We pride ourselves on providing the strongest technical foundation available at any institution in Singapore, across all sub-disciplines of computing. CS3210   Parallel Computing CS4248   Natural Language Processing Academic Information / Policies It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. 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. and 4000 ST4248    Statistical Learning II – CS1010/CS1010S/CS1010X Programming Methodology – DSA2102 Essential Data Analytics Tools: Numerical Yong Loo Lin School of Medicine – CS3244 Machine Learning Welcome to NUS Department of Statistics & Applied Probability. Part IV: Archived Bulletins   36 MCs Study About NUS or B.Sc. 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. Big data does not necessarily mean data at a more macro scale. This programme will help to meet the growing demands for big-data professionals by transforming graduates with Bachelor degrees in quantitative science (e.g. 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. – CS2040 Data Structures and Algorithms (24 MCs) – ST2132 Mathematical Statistics Faculty of Science ST3248    Statistical Learning I University Requirements List A — DSA modules Yale-NUS College 3.3.3 Bachelor of Science/Bachelor of Science (Hons) Programme Requirements [BSc/BSc (Hons)] ... 3.3.3.4 Data Science and Analytics. NUS Computing, School of Computing, National University of Singapore, NUS, Singapore Universities NUS Computing. 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. Cumulative Major MCs   8 MCs* 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. CS4243   Computer Vision and Pattern Recognition Dr. Amirhassan Monajemi . AY2018/19 – ST2131/MA2216 Probability 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) . mathematics, applied mathematics, statistics and physics) into practitioners. The programme will be … Yong Siew Toh Conservatory of Music – DSA2101 Essential Data Analytics Tools: Data Visualisation 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. Faculty of Engineering It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. ST4234    Bayesian Statistics The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. Other Multidisciplinary/ Special Programmes AY2016/17 NUS Bulletin AY2020/21 Centre for English Language and Communication – DSA3102 Essential Data Analytics Tools: Convex Optimisation – Six additional modules from List A and List B subject to the Apply to NUS Science. Special Term Part III: Modules MA4270 Data Modelling and Computation The curriculum incorporates inter-disciplinary learning from computer science, mathematics and statistics. The first three internship segments ride on the Undergraduate Professional Internship Programme (UPIP) of the Faculty of Science. Saw Swee Hock School of Public Health 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. 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. Study & Internship (full time) * 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. Year 3 Internship (full time) MA4230   Matrix Computation Institute of Systems Science – DSA3101 Data Science in Practice 3.3.3.1 Chemistry The last two internship segments take the form of an Honours-level project (DSA4299). School of Design & Environment 160 MCs Part IV: Archived Bulletins 3.3.3.4 Data Science and Analytics Academic Calendar School of Computing In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. ST3240    Multivariate Statistical Analysis Our Faculty offers a variety of major courses under the Bachelor of Science [3 years] and Bachelor of Science (Honours) [4 years] degree programmes. CS4234   Optimisation Algorithms Duke-NUS Medical School Administrative Policies / Procedures 16 Graduation Requirements ST3247    Simulation 3.3.3.5 Life Sciences The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. School of Business Study & Internship (full time) On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. * 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. Faculty Requirements Provost's Welcome Message 3.3.3.10 Statistics About NUS Faculty of Law CS5340   Uncertainty Modelling in AI Study While Data Science or Big Data courses offer a well-rounded education, it is impossible to be an expert in everything related to data. 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. It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. Provost's Welcome Message New Memorandum of Understanding aims to accelerate innovation and skills for a Smart Nation. Unrestricted Elective Modules mathematics, applied mathematics, statistics and physics) into practitioners. List B1 — DSA-recognised modules (no hidden pre-requisites) (Bachelor of Science) degrees. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. 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. ST3239    Survey Methodology CS4231   Parallel and Distributed Algorithms AY2015/16. Teaching Institutions AY2017/18 School of Computing – MA1102R Calculus Module Level 3.3.3.3 Food Science and Technology Summary of Requirements Programme Structure and Curriculum Rationale. 21 Lower Kent Ridge Road Singapore 119077 +65 6516 6666; Core topics include data modeling, data management, data mining, continuous and categorical data methods and applications, teamwork, and communication. It usually takes 3 years to graduate in most countries and 4 years if you study in the United States. Faculty of Dentistry Part I: General Faculty of Arts & Social Sciences CS3230   Design and Analysis of Algorithms Most Data Science and Big Data courses are offered as B.Sc. 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. 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. 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. 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. 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. Administrative Policies / Procedures B.Sc. Faculty of Engineering University Town 2 College Avenue West, #01-03 (Stephen Riady Centre) Singapore 138607 Programme Structure and Curriculum Rationale Yong Siew Toh Conservatory of Music for specific MCs requirements with respect to their chosen major. 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. 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 … – DSA4199 Honours Project in Data Science or ST4231    Computer Intensive Statistical Methods Year 4 University Scholars Programme 96 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. 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. Lee Kuan Yew School of Public Policy Semester 2 Education at NUS + There must be at least two modules each from List A and School of Design & Environment Part I: General 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. 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. 3.3.3.8 Physics Part III: Modules 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. (Hons.) Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus Study ST3233    Applied Time Series Analysis CS4224   Distributed Databases Lee Kuan Yew School of Public Policy NUS Mods 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. 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. 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). The last two internship segments take the form of an Honours-level project (DSA4299). Students in the DSA programme have the option to participate in co-op education which comprises the following study/internship sequence: NUS Bachelor of Technology in Engineering. Other Multidisciplinary/ Special Programmes   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. To find out the various major courses we have, please click here. NUS Graduate School for Integrative Sciences and Engineering NUS Mods 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. Co-Operative Education 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. Internship (full time) or B.Sc. Faculty of Law 3.3.3.6 Mathematics and Applied Mathematics 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. – MA1101R Linear Algebra I 3.3.3.7 Pharmaceutical Science 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. 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. 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. AY2018/19 Duke-NUS Medical School Study AY2016/17 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 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. (16 MCs) Major Requirements Part II: Programmes Yong Loo Lin School of Medicine + There must be at least four modules at level 4000 MA3236   Nonlinear Programming The NUS Department of Pharmacy has been running the Master of Science in Pharmaceutical Science and Technology [MPST] programme since 2008. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. Major Requirements DSA4212  Optimisation for Large-Scale Data-Driven Inference 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. Levels 3000 * 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. + A maximum of two DSA426x series modules can be used to fulfil this requirement 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. DSA4211  High-Dimensional Statistical Analysis Students are advised to refer to Sections 3.3.3 [Bachelor of Science/Bachelor of Science (Hons.) University Scholars Programme Internship (full time) School of Continuing and Lifelong Education Career Prospects Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. 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