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