https://aisel.aisnet.org/icis2018/healthcare/Presentations/4/, Zhang, J., Tan, C.H., & Ke, W. (2018). NUS SCALE Data Analytics Courses Data Analytics Basic Courses AI and Machine Learning Begins With Me 4.2.2.4 Master of Science in Data Science and Machine Learning (Full-Time and Part-Time) The MSc in Data Science and Machine Learning programme is offered jointly by the Department of Mathematics, the Department of Statistics and Applied Probability and the Department of Computer Science. https://aisel.aisnet.org/icis2017/IT-and-Healthcare/Presentations/5/, Executive Education & Part-time Programmes, Graduate Certificate in Computing Foundations, Executive Education & Part-time Programmes, https://doi.org/10.1016/j.respol.2019.103864, https://doi.org/10.1093/bioinformatics/btz599, https://doi.org/10.1007/s10994-019-05801-6, https://doi.org/10.25300/MISQ/2016/40.1.02, https://aisel.aisnet.org/icis2018/healthcare/Presentations/4/, https://aisel.aisnet.org/icis2018/hcri/Presentations/6/, https://aisel.aisnet.org/icis2018/datascience/Presentations/13/, https://aisel.aisnet.org/icis2018/crypto/Presentations/7/, https://aisel.aisnet.org/icis2017/Panels/Presentations/6/, https://aisel.aisnet.org/icis2017/IT-and-Healthcare/Presentations/5/, Dept. Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. Students are required to complete a total of 30 credits of coursework, including 12 credits of core courses and 18 credits of elective courses. For applicants whose medium of university instruction was not English, they are required to demonstrate their English proficiency by possessing a minimum TOEFL (Test of English as a Foreign Language) score of 580 (paper-based) or 85 (Internet-based), or a minimum IELTS (International English Language Testing System) Academic score of 6.0. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. The Master of Science (Maritime Technology and Management) or MSC (MTM) seeks to train and equip graduates with key skillsets to enable next-generation port capabilities in Singapore, such as industrial systems development, big data analytics tools, and emerging port technologies (e.g., digitalization to … Proceedings of ICIS 2018, San Francisco. R., & Rajan, V. (2019). The convergence of big data and machine learning with technologies such as cloud services, sensors, ubiquitous computing, mobile devices and the Internet of Things has created vast new opportunities for business. Our researchers are working on overcoming the challenges of big data in manifold ways. Ahangama, S., & Poo, D.C.C. (2018). (2018). It is designed and taught by award-winning academics from NUS Business School and NUS Computing. 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). by Masterclass.In Information Technology, MSc. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. The Master of Science in Business Analytics (MSBA) can be taken either as a 1-year (13-month) intensive full-time programme or a 2-year part-time programme. (2016). MIS Quarterly, 40(1): 31-56. https://doi.org/10.25300/MISQ/2016/40.1.02. However, although big data analytics holds much promise, it is no silver bullet. New programme to develop talent in accounting and analytics Singapore, 28 October 2020 — The National University of Singapore (NUS) Business School has launched a new Master of Science (Msc) in Accounting programme to develop talent in accounting and data analytics skills. Moving forward, organizations favor predictive analytics that can help forecast and predict potential relationships between variables and outcomes of concern, so that they can better chart their future and achieve their goals. Students are likely to take between 12 and 24 months to complete the programme on a full-time basis and 24 to 48 months on a part-time basis. (forthcoming). Application of deep user activity transfer models for cross domain user matching. ... 9 thoughts on “ My Master of Science in Statistics programme in NUS ” … Ghanvatkar, S., Rajan, V., & Kankanhalli, A. These include efforts on providing tangible and novel insights towards specific business problems e.g., in retail, social networks, and healthcare, as well as fundamental big data challenges e.g., entity resolution, missing value imputation, high-dimensional clustering, and models for transfer learning. of Information System and Analytics. Hierarchical Accounting Variables Forecasting by Deep Learning Methods. In this way, analytics has proven useful in helping organizations know what they know and what they don’t. There is only one intake (August intake) per year. https://doi.org/10.1287/isre.2018.0807, Bhattacharya, P., Phan, T.Q., Bai, X., & Airoldi, E.M. (2019). The Master of Science (Maritime Technology and Management) or MSC (MTM) seeks to train and equip graduates with key skillsets to enable next … https://doi.org/10.1093/bioinformatics/btz599, Yi, C., Jiang, Z., Li, X., & Lu, X. https://aisel.aisnet.org/icis2018/datascience/Presentations/13/, Qiao, M., & Huang, K.W. It encompasses latest research findings, both applied and fundamental. Cross Domain Approximate Matching of User Shared Content for User Entity Resolution. Proceedings of ICIS 2019, Munich. of Information Systems and Analytics, Dept. But the untamed potential of big data is even greater – as big data analytics promises to enlighten organizations regarding knowledge discovery, or help them understand what they do not even know they don’t know. (forthcoming), A Multi-Relational Approach for Seeding Decisions in Social Networks. Information Systems Research. The NUS-ISS Stackable Certificate Programme in Data Science, leading to the NUS Master of Technology in Enterprise Business Analytics is designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. More information, including TOEFL and IETS, can be found here. Journal of Marketing Research. Time to Reconsider Time in the Digital Age, Proceedings of ICIS 2017, Seoul. Deep Collective Matrix Factorization for Augmented Multi-view Learning. Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis. NUS MSBA Application Checklist - AY2021/2022 Program Description. Online advertising in online-to-offline retailing environments: The moderating effects of salesforce and product lines. MSc in Data Science and Machine Learning (about DSA5201) Student will study different practical issues of data science through this module. It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in … https://doi.org/10.1016/j.respol.2019.103864, Kasa, S.R., Bhattacharya, S. & Rajan, V. (forthcoming). A coevolution model of network structure and user behavior: The case of content generation in online social networks. They will work individually or collaboratively on a project to enhance knowledge and computing skills for deriving insights from data through machine learning. Strategic Management Journal, 37(1), 232-253. https://doi.org/10.1002/smj.2460, Oh, H., Animesh, A., & Pinsonneault, A. Although candidates with good first degrees and practical working experience after obtaining their first degrees are admitted, meeting the admission requirements does not guarantee admission. Proceedings of ICIS 2018, San Francisco. Engineer/scientist careers: Patents, online profiles, and misclassification bias. 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). (2016). Machine Learning 108(8-9) 1395-1420. https://doi.org/10.1007/s10994-019-05801-6, Phan, T.Q., & Godes, D. (2018). Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . For Master of Science (Data Science and Machine Learning) and Master of Science (Quantitative Finance), application is open from 15 October of the previous year to 31 January. (2019). Journal of Marketing Research, 54(2), 187-201. https://doi.org/10.1509/jmr.12.0511, Ge, C., Huang, K.W., & Png, I.P. On Campus Online 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. Subject to approval, students may take a maximum of 6 credits of courses from the Master of Science in Information Technology. The NUS degree programme in Data Science and Analytics will equip you with the necessary analytical and communication skills to gain a competitive edge in this rapidly growing field. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. Research Policy. The National University of Singapore (NUS), the nation’s highest-ranked university, will offer a new degree program in data science and analytics starting from August this year, it … DatesFor more information on Application Dates, click here. The National University of Singapore Master of Science in Data Science and Machine Learning is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science. Predicting exercise behavior in fitness applications: A multi-group study, Proceedings of ICIS 2017, Seoul. All the courses are normally h… Zhao, Y., Hou, L., & Goh, K.Y. https://aisel.aisnet.org/icis2017/Panels/Presentations/6/, Zhou, Y., Kankanhalli, A., & Huang, K.W. (forthcoming). https://aisel.aisnet.org/icis2018/crypto/Presentations/7/, Gaskin, J., Hahn, J., Park, Y., Pentland, B., & Susarla, A. It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. https://aisel.aisnet.org/icis2018/hcri/Presentations/6/, Ahangama, S., & Poo, D.C.C. The National University of Singapore Master of Science in Data Science and Machine Learning is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science. The evolution of influence through endogenous link formation. (2018). Marketing Science, 37(2), 259-278. https://doi.org/10.1287/mksc.2017.1077, Chen, X., Van der Lans, R., & Phan, T.Q. Free vs. for a fee: The impact of paywall on the pattern and effectiveness of word-of-mouth via social media. (forthcoming). The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. The NUS Master of Science (MSc) in Venture Creation, administered by NUS School of Continuing and Lifelong Education (SCALE) and supported by NUS Enterprise, is the most immersive graduate degree programme that combines experiential learning with the academic rigour of Asia's top university. Admission Requirements Admission requires at least a relevant bachelor’s degree with 2nd Class Honours or its equivalent. Finally, if you are looking to advance your data science street cred via a postgraduate degree, this is just one of many options, even within NUS or Singapore. Affect Elicitation Method: A Proposition and Investigation. The MSc in Data Science and Machine Learning programme is offered jointly by the Department of Mathematics, the Department of Statistics and Applied Probability and the Department of Computer Science with support from the Faculty of Engineering, … The NUS Master of Science in Business Analytics (NUS MSBA) program is jointly offered and designed by two globally ranked schools, NUS Business School and NUS Computing. 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. The National University of Singapore Master of Science in Data Science and Machine Learning is an interdisciplinary graduate degree programme designed to nurture the next generation of … The objective of the USC Viterbi Master of Science in Applied Data Science is to train students with a range of backgrounds to be skilled data scientists. 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. Ge, C., Huang K.W., & Kankanhalli, A. (2017). Platform skills and the value of new hires in the software industry. Proceedings of ICIS 2019, Munich. Leveraging User-Generated Content for Product Promotion: The Effects of Firm-Highlighted Reviews. Its curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning.It is jointly offered by the Faculty of Science’s Department of Mathematics and Department of Statistics and Applied Probability, the School of Computing’s Department of Computer Science, the Faculty of Engineering, and the Saw Swee Hock School of Public Health. Master in Business Analytics - This course in Business Analytics is jointly offered by the School of Computing and the National University of Singapore Business School. National University of Singapore. School of Continuing and Lifelong Education (NUS SCALE)National University of SingaporeBlock AS810 Kent Ridge Crescent#03-01Singapore 119260, Click to share on Facebook (Opens in new window), Master of Science Health and Safety – Leeds Beckett University, Rutgers Master of Science in Supply Chain Management, NUS Saw Swee Hock School of Public Health, Wee Kim Wee School of Communication and Information, School of Physical and Mathematical Sciences, NTU School of Mechanical and Aerospace Engineering, S. Rajaratnam School of International Studies, Singapore University of Technology and Design, Manchester Worldwide Institute of Higher Education (South East Asia), Newcastle Research & Innovation Institute (NewRIIS), Technical University of Munich (TUM) Asia, Management Development Institute of Singapore (MDIS). The corresponding maximum candidature periods are 2-years and 4-years respectively. Is the National University of Singapore good enough to do a Masters in Data Science and Business Analytics? On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. Program Overview. The programme is supported by leading NUS researchers in data science as well as data scientists from industry, and offers multiple data science specialisations. Proceedings of ICIS 2018, San Francisco. (2017). Phan, T,Q. To apply for admissions to the NUS MSc in Data Science and Machine Learning programme, applicants should possess a bachelor (Hons) degree or a 4-year bachelor’s degree in quantitative science (mathematics, applied mathematics, computational mathematics, statistics and physics) or engineering. Overview Harness the Potential of Big Data and Machine Learning. The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. Master of Science (Maritime Technology and Management) [MSc (MTM)] Programme. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). 中文 A programme jointly hosted by the Department of Industrial Systems Engineering and Management (ISEM) and the Centre for Maritime Studies (CMS), NUS . From beginner courses that introduce basic concepts to more technical programming and visualisation techniques, you will acquire data analytics skills and learn the real-life applications of data science. FeesFor more information on Fee, Scholarships and Finance matters, click here. Bioinformatics. Gaussian Mixture Copulas for High- Dimensional Clustering and Dependency-based Subtyping. The programme also provides advanced and in-depth knowledge of IT to … Our stackable modules give learners the ability to choose the exact set of skills they want to master. Master of Science in 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. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional consulting project. Proceedings of ICIS 2018, San Francisco. Centre for English Language Communication (CELC) 24 Centre for Future-ready Graduates (CFG) 24 Duke-NUS 24; Faculty of Arts & Social Sciences (FASS) 24 FACULTY OF ARTS AND SOCIAL SCIENCES 24; Faculty of Engineering (FOE) 24 Faculty of Science (FOS) 24 Institute of Systems Science (ISS) 24 Lee Kuan Yew School of Public Policy (LKYSPP) 24 Multidisciplinary 24; NUS Business School 24 Introduction. Information Systems Research, 30(1), 117-132. https://doi.org/10.1287/isre.2018.0790, Mariappan. Uncovering the importance of relationship characteristics in social networks: Implications for seeding strategies. In this program, students learn through a balance of intellectual academic rigor and hands-on application. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. (2017). Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data.

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