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nus data science bachelor

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