(16 MCs) Yong Siew Toh Conservatory of Music ST4234    Bayesian Statistics Study – DSA1101 Introduction to Data Science – CS1010/CS1010S/CS1010X Programming Methodology Lee Kuan Yew School of Public Policy 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. Core topics include data modeling, data management, data mining, continuous and categorical data methods and applications, teamwork, and communication. NUS Bulletin AY2020/21 Major Requirements 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. – Six additional modules from List A and List B subject to the 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 … CS3243 Introduction to Artificial Intelligence AY2016/17 3.3.3.7 Pharmaceutical Science mathematics, applied mathematics, statistics and physics) into practitioners. 3.3.3.3 Food Science and Technology Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. 3.3.3.8 Physics Semester 2 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. 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. AY2017/18 Faculty of Arts & Social Sciences Teaching Institutions 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 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. – CS3244 Machine Learning (Bachelor of Science) degrees. 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 Mods Administrative Policies / Procedures DSA4212  Optimisation for Large-Scale Data-Driven Inference with a primary major in Data Science and Analytics, candidates must satisfy the following: 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… Summary of Requirements ST3233    Applied Time Series Analysis It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. Yale-NUS College Career Prospects ST3239    Survey Methodology Academic Calendar Graduation Requirements 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. Levels 3000 The programme will be … Academic Information / Policies Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. Apply to NUS Science. On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. – DSA3101 Data Science in Practice Study & Internship (full time) (Hons.) DSA4299 Applied Project in Data Science – DSA4199 Honours Project in Data Science or (Hons.) – MA2311 Techniques in Advanced Calculus or MA2104 Multivariable Calculus 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. Faculty of Dentistry 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. Duke-NUS Medical School Part I: General DSA426x Sense-making Case Analysis: YY and ZZ Part II: Programmes Programme Requirements] and 3.3.4 [Bachelor of Pharmacy/Bachelor of Pharmacy (Hons.)] 3.3.3.1 Chemistry ST3240    Multivariate Statistical Analysis CS4243   Computer Vision and Pattern Recognition or B.Sc. ... National University of Singapore. CS4225  Big Data Systems for Data Science or Massive Data Processing Techniques in Data Science Faculty of Law B.Sc. ST4248    Statistical Learning II 3.3.3.5 Life Sciences School of Business The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market.   20 MCs 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. Students are advised to refer to Sections 3.3.3 [Bachelor of Science/Bachelor of Science (Hons.) Education at NUS Students with GCE “A” Level (H2) or Equivalent Qualification 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. It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. CS4248   Natural Language Processing Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. 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 … 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. Co-Operative Education University Scholars Programme MA4270 Data Modelling and Computation Pass Level 1000 Academic Information / Policies Faculty of Arts & Social Sciences Faculty of Engineering Study 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. 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 Design & Environment 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). Bulletin Updates AY2018/19 – MA1102R Calculus Programme Structure and Curriculum Rationale On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. 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. AY2018/19 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 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. ST3232    Design and Analysis of Experiments 3.3.3.10 Statistics MA3252   Linear and Network Optimisation NUS Computing, School of Computing, National University of Singapore, NUS, Singapore Universities NUS Computing. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data.   8 MCs* Year 3 Yale-NUS College Graduates with Bachelor (Hons) degrees in Quantitative Sciences (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. Faculty of Dentistry Study CS4224   Distributed Databases Faculty of Engineering 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. following restrictions: We pride ourselves on providing the strongest technical foundation available at any institution in Singapore, across all sub-disciplines of computing. Major Requirements CS3223   Database Systems Implementation School of Computing 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. Lee Kuan Yew School of Public Policy NUS Bulletin AY2020/21 Part IV: Archived Bulletins 3.3.3.9 Quantitative Finance 160 MCs While Data Science or Big Data courses offer a well-rounded education, it is impossible to be an expert in everything related to data. Education at NUS CS3210   Parallel Computing List B1 — DSA-recognised modules (no hidden pre-requisites) – CS2040 Data Structures and Algorithms 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. Teaching Institutions Faculty of Science 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. 16   Total To find out the various major courses we have, please click here. Internship (full time) Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. These are just a few of the opportunities you'll have as a Computer Science student at NUS. 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) . CS5340   Uncertainty Modelling in AI 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. 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. (Hons.) ST3247    Simulation Duke-NUS Medical School Special Term – DSA2102 Essential Data Analytics Tools: Numerical Faculty of Science 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. Computation 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). Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. Academic Calendar – DSA3102 Essential Data Analytics Tools: Convex Optimisation University Requirements Inspired to explore an interdisciplinary education? – ST3131 Regression Analysis and 4000 Yong Loo Lin School of Medicine 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. Yong Siew Toh Conservatory of Music Our Faculty offers a variety of major courses under the Bachelor of Science [3 years] and Bachelor of Science (Honours) [4 years] degree programmes. Centre for English Language and Communication Semester 1 NUS Bachelor of Technology in Engineering. The DSA programme will equip its graduates with the skills to contribute to the activities of these industries. 3.3.3.6 Mathematics and Applied Mathematics Institute of Systems Science from List B1/ List B2 Internship (full time) 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. The last two internship segments take the form of an Honours-level project (DSA4299). 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