Study & Internship (full time) Total Students with GCE “A” Level (H2) or Equivalent Qualification * 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. – ST2131/MA2216 Probability 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. Academic Information / Policies – ST3131 Regression 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. Special Term Bachelor of Science (Honours) with Major in Data Science and Analytics. AY2016/17 School of Design & Environment DSA4212  Optimisation for Large-Scale Data-Driven Inference The curriculum incorporates inter-disciplinary learning from computer science, mathematics and statistics. – ST2132 Mathematical Statistics 3.3.3.6 Mathematics and Applied Mathematics ST3247    Simulation To be awarded a B.Sc. Lee Kuan Yew School of Public Policy 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 … Cumulative Major MCs 16 or B.Sc. Part I: General NUS Bulletin AY2020/21 Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. CS3210   Parallel Computing Pass 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. Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. Institute of Systems Science It usually takes 3 years to graduate in most countries and 4 years if you study in the United States. Big data does not necessarily mean data at a more macro scale. 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. 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. Administrative Policies / Procedures Our Faculty offers a variety of major courses under the Bachelor of Science [3 years] and Bachelor of Science (Honours) [4 years] degree programmes. 21 Lower Kent Ridge Road Singapore 119077 +65 6516 6666; 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. The last two internship segments take the form of an Honours-level project (DSA4299). ST4234    Bayesian Statistics Provost's Welcome Message Level 2000 Dr. Amirhassan Monajemi . MA4230   Matrix Computation Faculty of Law 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) . Programme Structure and Curriculum Rationale. 3.3.3.5 Life Sciences Teaching Institutions   8 MCs* Faculty of Engineering Study – DSA1101 Introduction to Data Science Provost's Welcome Message School of Computing 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. Faculty Requirements MA3236   Nonlinear Programming Faculty of Dentistry 40 * 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. Yale-NUS College (Hons.) 3.3.3.7 Pharmaceutical Science ST3239    Survey Methodology 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. Saw Swee Hock School of Public Health Module Level List A — DSA modules DSA4299 Applied Project in Data 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. The programme will be … CS3223   Database Systems Implementation 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. School of Continuing and Lifelong Education Faculty of Science * 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. ST3232    Design and Analysis of Experiments 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. – Six additional modules from List A and List B subject to the 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. University Scholars Programme 3.3.3.2 Computational Biology 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. – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus Graduation Requirements Yong Siew Toh Conservatory of Music Part IV: Archived Bulletins Administrative Policies / Procedures The NUS Department of Pharmacy has been running the Master of Science in Pharmaceutical Science and Technology [MPST] programme since 2008. – MA1101R Linear Algebra I This programme will help to meet the growing demands for big-data professionals by transforming graduates with Bachelor degrees in quantitative science (e.g. Duke-NUS Medical School Part IV: Archived Bulletins – DSA3101 Data Science in Practice Oftentimes, big data involves more fine-grained data that allows the investigation of more micro processes. CS4248   Natural Language Processing NUS Graduate School for Integrative Sciences and Engineering Academic Calendar The first three internship segments ride on the Undergraduate Professional Internship Programme (UPIP) of the Faculty of Science. 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. Year 4 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. Yong Loo Lin School of Medicine Year 2 NUS Mods About NUS ST4248    Statistical Learning II MA3252   Linear and Network Optimisation Pass 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. or B.Sc. (Hons.) Education at NUS These are just a few of the opportunities you'll have as a Computer Science student at NUS. ST3233    Applied Time Series Analysis New Memorandum of Understanding aims to accelerate innovation and skills for a Smart Nation. Graduates with Bachelor (Hons) degrees in Quantitative Sciences (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 …   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 NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data for business competitiveness. ... National University of Singapore. Inspired to explore an interdisciplinary education?   20 MCs The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. Faculty of Arts & Social Sciences Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. 96 School of Computing 96 MCs Study AY2017/18 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. Internship (full time) (56 MCs) CS3243 Introduction to Artificial Intelligence 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. 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. Duke-NUS Medical School Study & Internship (full time) Computation 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.

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