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. Faculty of Dentistry 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 DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. 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. 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. CS4231   Parallel and Distributed Algorithms Programme Structure and Curriculum Rationale 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. ST3239    Survey Methodology 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. Our Faculty offers a variety of major courses under the Bachelor of Science [3 years] and Bachelor of Science (Honours) [4 years] degree programmes. (Hons.) 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. Inspired to explore an interdisciplinary education? Internship (full time) Faculty of Engineering NUS Graduate School for Integrative Sciences and Engineering Other Multidisciplinary/ Special Programmes   Graduation Requirements Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. MA4270 Data Modelling and Computation DSA4211  High-Dimensional Statistical Analysis 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. 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. Faculty of Science 96 Year 3 Bachelor of Science (Honours) with Major in Data Science and Analytics. Yale-NUS College 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. 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. Level 1000 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. 3.3.3.2 Computational Biology Part II: Programmes CS4243   Computer Vision and Pattern Recognition Major Requirements (Bachelor of Science) degrees. Programme Structure and Curriculum Rationale. Year 4 Study 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. Faculty of Arts & Social Sciences University Requirements * 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. 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 Year 2 About NUS Module Level Study & Internship (full time) Yong Loo Lin School of Medicine School of Computing (16 MCs) ST4231    Computer Intensive Statistical Methods DSA4212  Optimisation for Large-Scale Data-Driven Inference – ST2132 Mathematical Statistics Special Term – Six additional modules from List A and List B subject to the Lee Kuan Yew School of Public Policy Administrative Policies / Procedures AY2017/18 3.3.3.5 Life Sciences. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. – DSA2102 Essential Data Analytics Tools: Numerical   20 MCs AY2015/16. 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. mathematics, applied mathematics, statistics and physics) into practitioners. Centre for English Language and Communication On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. 160 MCs 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. 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. Co-Operative Education It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. DSA4299 Applied Project in Data Science – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus AY2018/19 The NUS Department of Pharmacy has been running the Master of Science in Pharmaceutical Science and Technology [MPST] programme since 2008. 3.3.3.8 Physics Faculty of Science Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. Welcome to NUS Department of Statistics & Applied Probability. Academic Calendar (Hons.) It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. 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) . 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. 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. 40 Part IV: Archived Bulletins The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. 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. Oftentimes, big data involves more fine-grained data that allows the investigation of more micro processes. 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. The first three internship segments ride on the Undergraduate Professional Internship Programme (UPIP) of the Faculty of Science. Part III: Modules Yale-NUS College Faculty of Law New Memorandum of Understanding aims to accelerate innovation and skills for a Smart Nation. Other Multidisciplinary/ Special Programmes Year 1 About NUS ST3248    Statistical Learning I Academic Information / Policies NUS Bachelor of Technology in Engineering. To be awarded a B.Sc. Faculty of Law CS4248   Natural Language Processing 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 … Institute of Systems Science Provost's Welcome Message CS3210   Parallel Computing 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. School of Computing List A — DSA modules School of Continuing and Lifelong Education Graduates with Bachelor (Hons) degrees in Quantitative Sciences (e.g. 3.3.3.4 Data Science and Analytics MA3236   Nonlinear Programming Teaching Institutions ... National University of Singapore. MA3252   Linear and Network Optimisation Part I: General NUS Mods * 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. CS3223   Database Systems Implementation In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. Education at NUS NUS Mods NUS Bulletin AY2020/21 CS4225  Big Data Systems for Data Science or Massive Data Processing Techniques in Data Science Core topics include data modeling, data management, data mining, continuous and categorical data methods and applications, teamwork, and communication. 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. Yong Loo Lin School of Medicine Yong Siew Toh Conservatory of Music Study Yong Siew Toh Conservatory of Music – CS2040 Data Structures and Algorithms Big data does not necessarily mean data at a more macro scale. Study & Internship (full time) These are just a few of the opportunities you'll have as a Computer Science student at NUS.   8 MCs* Internship (full time) (Hons.) Computation 3.3.3.3 Food Science and Technology NUS Graduate School for Integrative Sciences and Engineering Summary of Requirements 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. 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. The last two internship segments take the form of an Honours-level project (DSA4299). (56 MCs) CS3230   Design and Analysis of Algorithms AY2018/19 Career Prospects Part IV: Archived Bulletins + There must be at least two modules each from List A and Education at NUS We pride ourselves on providing the strongest technical foundation available at any institution in Singapore, across all sub-disciplines of computing. NUS Bulletin AY2020/21 Semester 2 and 4000 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. CS5340   Uncertainty Modelling in AI 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. To find out the various major courses we have, please click here. To be awarded a B.Sc. 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. University Town 2 College Avenue West, #01-03 (Stephen Riady Centre) Singapore 138607 Minimum Entry Requirements. Provost's Welcome Message It usually takes 3 years to graduate in most countries and 4 years if you study in the United States. Faculty of Engineering With deep connections at leading companies, NUS offers a truly immersive Computer Science education. CS4234   Optimisation Algorithms 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. ST4248    Statistical Learning II – ST3131 Regression Analysis This programme will help to meet the growing demands for big-data professionals by transforming graduates with Bachelor degrees in quantitative science (e.g. NUS Life Sciences. 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. ST3240    Multivariate Statistical Analysis Semester 1 – MA1102R Calculus Study + There must be at least four modules at level 4000 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. DSA426x Sense-making Case Analysis: YY and ZZ 3.3.3.7 Pharmaceutical Science 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 with a primary major in Data Science and Analytics, candidates must satisfy the following: Students are advised to refer to Sections 3.3.3 [Bachelor of Science/Bachelor of Science (Hons.) 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. 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. B.Sc. – DSA4199 Honours Project in Data Science or + A maximum of two DSA426x series modules can be used to fulfil this requirement Institute of Systems Science – DSA3102 Essential Data Analytics Tools: Convex Optimisation 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. 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