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 corresponding maximum candidature periods are 2-years and 4-years respectively. (2017). Journal of Marketing Research. 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. Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis. 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. It encompasses latest research findings, both applied and fundamental. Affect Elicitation Method: A Proposition and Investigation. The evolution of influence through endogenous link formation. NUS MSBA Application Checklist - AY2021/2022 Program Description. 中文 A programme jointly hosted by the Department of Industrial Systems Engineering and Management (ISEM) and the Centre for Maritime Studies (CMS), NUS . Bioinformatics. Proceedings of ICIS 2018, San Francisco. Phan, T,Q. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. Information Systems Research. Proceedings of ICIS 2019, Munich. In this way, analytics has proven useful in helping organizations know what they know and what they don’t. Our stackable modules give learners the ability to choose the exact set of skills they want to master. Proceedings of ICIS 2018, San Francisco. They will work individually or collaboratively on a project to enhance knowledge and computing skills for deriving insights from data through machine learning. Leveraging User-Generated Content for Product Promotion: The Effects of Firm-Highlighted Reviews. Master of Science (Maritime Technology and Management) [MSc (MTM)] Programme. Our researchers are working on overcoming the challenges of big data in manifold ways. 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. (forthcoming). Gaussian Mixture Copulas for High- Dimensional Clustering and Dependency-based Subtyping. However, although big data analytics holds much promise, it is no silver bullet. In this program, students learn through a balance of intellectual academic rigor and hands-on application. Students are required to complete a total of 30 credits of coursework, including 12 credits of core courses and 18 credits of elective courses. Engineer/scientist careers: Patents, online profiles, and misclassification bias. Hierarchical Accounting Variables Forecasting by Deep Learning Methods. Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . 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. Overview Harness the Potential of Big Data and Machine Learning. Application of deep user activity transfer models for cross domain user matching. Zhao, Y., Hou, L., & Goh, K.Y. 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. 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. NUS SCALE Data Analytics Courses Data Analytics Basic Courses AI and Machine Learning Begins With Me R., & Rajan, V. (2019). In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. 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). (forthcoming). (forthcoming). Admission Requirements Admission requires at least a relevant bachelor’s degree with 2nd Class Honours or its equivalent. 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. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. 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. Journal of Marketing Research, 54(2), 187-201. https://doi.org/10.1509/jmr.12.0511, Ge, C., Huang, K.W., & Png, I.P. Proceedings of ICIS 2018, San Francisco. 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. Master of Science in Data Science. 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). Ahangama, S., & Poo, D.C.C. https://doi.org/10.1287/isre.2018.0807, Bhattacharya, P., Phan, T.Q., Bai, X., & Airoldi, E.M. (2019). (2018). MSc in Data Science and Machine Learning (about DSA5201) Student will study different practical issues of data science through this module. 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. (2016). 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. https://aisel.aisnet.org/icis2017/Panels/Presentations/6/, Zhou, Y., Kankanhalli, A., & Huang, K.W. 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. DatesFor more information on Application Dates, click here. Online advertising in online-to-offline retailing environments: The moderating effects of salesforce and product lines. Program Overview. Machine Learning 108(8-9) 1395-1420. https://doi.org/10.1007/s10994-019-05801-6, Phan, T.Q., & Godes, D. (2018). Platform skills and the value of new hires in the software 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 … (2018). 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. More information, including TOEFL and IETS, can be found here. https://aisel.aisnet.org/icis2018/datascience/Presentations/13/, Qiao, M., & Huang, K.W. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). Ge, C., Huang K.W., & Kankanhalli, A. 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. Cross Domain Approximate Matching of User Shared Content for User Entity Resolution. (2019). Ghanvatkar, S., Rajan, V., & Kankanhalli, A. of Information System and Analytics. (2018). 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. 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. 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. Free vs. for a fee: The impact of paywall on the pattern and effectiveness of word-of-mouth via social media. 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. 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. 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 (2017). The programme also provides advanced and in-depth knowledge of IT to … Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. Predicting exercise behavior in fitness applications: A multi-group study, Proceedings of ICIS 2017, Seoul. Proceedings of ICIS 2018, San Francisco. https://aisel.aisnet.org/icis2018/crypto/Presentations/7/, Gaskin, J., Hahn, J., Park, Y., Pentland, B., & Susarla, A. 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. Strategic Management Journal, 37(1), 232-253. https://doi.org/10.1002/smj.2460, Oh, H., Animesh, A., & Pinsonneault, A. Introduction. (2016). of Information Systems and Analytics, Dept. Subject to approval, students may take a maximum of 6 credits of courses from the Master of Science in Information Technology. It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or industry. Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. 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. Time to Reconsider Time in the Digital Age, Proceedings of ICIS 2017, Seoul. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional consulting project. 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