Gaussian Mixture Copulas for High- Dimensional Clustering and Dependency-based Subtyping. 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. The programme also provides advanced and in-depth knowledge of IT to … However, although big data analytics holds much promise, it is no silver bullet. Time to Reconsider Time in the Digital Age, Proceedings of ICIS 2017, Seoul. Program Overview. Free vs. for a fee: The impact of paywall on the pattern and effectiveness of word-of-mouth via social media. https://aisel.aisnet.org/icis2018/crypto/Presentations/7/, Gaskin, J., Hahn, J., Park, Y., Pentland, B., & Susarla, A. 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. The evolution of influence through endogenous link formation. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. (forthcoming). 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. https://aisel.aisnet.org/icis2018/datascience/Presentations/13/, Qiao, M., & Huang, K.W. All the courses are normally h… of Information Systems and Analytics, Dept. NUS MSBA Application Checklist - AY2021/2022 Program Description. 126.96.36.199 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. 中文 A programme jointly hosted by the Department of Industrial Systems Engineering and Management (ISEM) and the Centre for Maritime Studies (CMS), NUS . Admission Requirements Admission requires at least a relevant bachelor’s degree with 2nd Class Honours or its equivalent. More information, including TOEFL and IETS, can be found here. Information Systems Research. Research Policy. Journal of Marketing Research. On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. Introduction. Hierarchical Accounting Variables Forecasting by Deep Learning Methods. 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. Zhao, Y., Hou, L., & Goh, K.Y. Proceedings of ICIS 2019, Munich. The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. 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. 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. 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. Marketing Science, 37(2), 259-278. https://doi.org/10.1287/mksc.2017.1077, Chen, X., Van der Lans, R., & Phan, T.Q. 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. Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. Application of deep user activity transfer models for cross domain user matching. (2016). There is only one intake (August intake) per year. It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. (2017). Machine Learning 108(8-9) 1395-1420. https://doi.org/10.1007/s10994-019-05801-6, Phan, T.Q., & Godes, D. (2018). 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). DatesFor more information on Application Dates, click here. A coevolution model of network structure and user behavior: The case of content generation in online social networks. Is the National University of Singapore good enough to do a Masters in Data Science and Business Analytics? 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. Journal of Marketing Research, 54(2), 187-201. https://doi.org/10.1509/jmr.12.0511, Ge, C., Huang, K.W., & Png, I.P. 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. (2017). Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional consulting project. Our stackable modules give learners the ability to choose the exact set of skills they want to master. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. NUS SCALE Data Analytics Courses Data Analytics Basic Courses AI and Machine Learning Begins With Me Platform skills and the value of new hires in the software industry. Phan, T,Q. Information Systems Research, 30(1), 117-132. https://doi.org/10.1287/isre.2018.0790, Mariappan. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. 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). 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. In this way, analytics has proven useful in helping organizations know what they know and what they don’t. 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. (forthcoming), A Multi-Relational Approach for Seeding Decisions in Social Networks. https://aisel.aisnet.org/icis2018/hcri/Presentations/6/, Ahangama, S., & Poo, D.C.C. Deep Collective Matrix Factorization for Augmented Multi-view Learning. //Aisel.Aisnet.Org/Icis2018/Crypto/Presentations/7/, Gaskin, J., tan, C.H., & Lu, X the Digital Age Proceedings... Zhao, Y., Kankanhalli, A., & Kankanhalli, a Multi-Relational Approach for Seeding Decisions social. 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