For admission to Track 1 (40 MCs), a candidate must have, For admission to Track 2 (80 MCs), a candidate must have. The Master’s in Data Science from Harvard University is a joint program offered through the Computer Science and Statistics faculties and administered through the Institute for Applied Computational Science. Track 2 School of Design & Environment The programme is supported by leading NUS researchers in data science as well as data scientists from industry, and offers multiple data science specialisations. Integrate components of data analytics to produce knowledge-based solutions for real-world challenges using public and private data sources. Academic Information / Policies 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. Master of Science in Data Science and Machine Learning: askmathpg@nus.edu.sg; Master of Science in Financial Engineering: mfe@nus.edu.sg; Master of Science in Food Science and Human Nutrition: food@nus.edu.sg; Master of Science in Forensic Science: dbsbox37@nus.edu.sg; Master of Science in Mathematics: askmathpg@nus.edu.sg The NUS Master of Science (MSc) in Forensic Science is a multidisciplinary graduate degree programme, synergising both law and science. Track 2 Dr. Amirhassan Monajemi . At least a three-year Bachelor’s degree in related fields or equivalent, with a satisfactory GPA Graduate MSc in Industry 4.0 MSc in Data Science & Machine Learning Master of Computing MSc in Food Science and Human Nutrition MSc in Pharmaceutical Science & Technology MSocSci ... you will acquire data analytics skills and learn the real-life applications of data science. Please review our privacy policy for more details or contact us at dataprotection@nu.edu. ST5201 Basic Statistical Theory H. NUS Graduate School for Integrative Sciences and Engineering; I. Previous academic studies or industrial experience in such areas as math, statistics, computer programming, engineering, or science are helpful prerequisites for this masters program. Students have to fulfil the following conditions: A candidate who has an Honours degree in Statistics or Mathematics might be exempted from reading one or more compulsory modules upon the approval of the Head of Department of Statistics and Applied Probability, but an exempted module must be replaced by an elective module. I also understand that certain degree programs may not be available in all states. Instructions for Phone input: Numbers only. NUS-ISS offers five graduate programmes which focus on the practical aspects of information technology (IT) and data science. Message and data rates may apply. Core topics include data modeling, data management, data mining, continuous and categorical data methods and applications, teamwork, and communication. ST5227 Applied Data Mining. It encompasses latest research findings, both applied and fundamental. Track 2 Read and pass the following two essential modules amounting to 8 MCs: 1.1. Choose from associate, bachelor’s, and master’s degrees, plus credentials and certificates. Introduction. Level-4000 courses will normally be conducted during day time and most of the level-5000 courses will be conducted in the evenings. Part I: General The culmination of this program is a three-month capstone project where real data from sponsoring organizations or publicly available data will be used to solve specialized problems in analytical database design, programming, implementation, or optimization. Since 1971, our mission has been to provide accessible, achievable higher education to adult learners. Evaluate data management methods and technologies used to improve integrated use of data. Dr. Amirhassan Monajemi . The sky's the limit. Program Director (Spatial Sciences): John P. Wilson, PhD Program Associate Director (Spatial Sciences): Susan H. Kamei, PhD Program Co-Director (Data Science): Yolanda Gil, PhD The Master of Science in Spatial Data Science is a cross-disciplinary joint degree program offered by the Viterbi School of Engineering and the Dornsife College of Letters, Arts and Science s. Track 1 In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. I understand that if I am submitting my personal data from outside of the United States, I am consenting to the transfer of my personal data to, and its storage in, the United States, and I understand that my personal data will be subject to processing in accordance with U.S. laws, unless stated otherwise in our privacy policy. The candidature for full-time students is from a minimum of four semesters to a maximum of eight semesters. Lee Kuan Yew School of Public Policy Graduate Certificate in Data Mining for Industry (Choose both) CS5228 Knowledge Discovery and Data Mining. An equivalent overseas degree (a four-year Bachelor’s degree) Read and pass the following two essential modules amounting to 8 MCs: 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. 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. Faculty of Engineering The candidature for full-time students is from a minimum of four semesters to a maximum of eight semesters. Master of Computing - Computer Science Specialisation The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. However, applicants who are graduates from Singapore local universities will be exempted from the GRE requirement. State-of-the-art analytical software will be used in all courses. Faculty of Dentistry Read and pass ten ST level 5000 modules amounting to 40 MCs AY2015/16. Part III: Modules 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, A local honours degree in related fields, or equivalent, An equivalent overseas degree (a four-year Bachelor’s degree), At least a three-year Bachelor’s degree in related fields or equivalent, with a satisfactory GPA, Obtain a minimum Cumulative Average Point (CAP) of 3.00, Complete a project ST5199 amounting to 16 MCs. Courses will be conducted during the university semesters. Programme Intake  Our stackable modules give learners the ability to choose the exact set of skills they want to master. Centre for English Language and Communication Level-4000 courses will normally be conducted during day time and most of the level-5000 courses will be conducted in the evenings. The corresponding maximum candidature periods are 2-years and 4-years respectively. Develop team skills to ethically research, develop, and evaluate analytic solutions to improve organizational performance. 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. Click here for program specific course information. Teaching Institutions 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 and Machine Learning. The one-year full-time programme will give recent graduates the skillsets to thrive in the increasingly automated accounting industry. Only the full-time programme will be offered for this track. NUS BAC offers the Master of Science in Business Analytics programme, develops business analytics professionals and collaborate with industry partners to meet the needs of companies across various industries actively seeking for talent who excel in the analytics field. This one-year programme will help to meet the growing demands for big-data professionals by transforming … Bulletin Updates Track 1 Complete a project ST5199 amounting to 16 MCs In addition, a candidate whose native tongue or medium of undergraduate instruction is not English must have a TOEFL score of at least 580 for Paper-based test, 260 for Computer-based test or 85 for Internet-based test (with at least 22 for the writing component) or an IELTS score of at least 6. The candidature for part-time students is from a minimum of four semesters to a maximum of eight semesters. Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. IDS coordinates and supports data science research initiatives across NUS. Education at NUS Master of Science in Statistics (Full-Time and Part-Time), D. School of Continuing and Lifelong Education, H. 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