Candidates may be admitted to one of two study tracks which are catered to candidates with different levels of qualification. Lee Kuan Yew School of Public Policy However, applicants who are graduates from Singapore local universities will be exempted from the GRE requirement. I also understand that certain degree programs may not be available in all states. Program Overview. Programme Intake  Centre for English Language and Communication AY2017/18 There is only one intake per academic year in August. The programme will be conducted by coursework. For admission to Track 2 (80 MCs), a candidate must have Complete a project ST5199 amounting to 16 MCs The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. I also understand that certain degree programs may not be available in all states. The candidature for part-time students is from a minimum of four semesters to a maximum of eight semesters. Academic Information / Policies Read and pass ten ST level 5000 modules amounting to 40 MCs Admission Requirements IDS coordinates and supports data science research initiatives across NUS.The value of the solutions that IDS can provide is through combining the expertise from multiple disciplines to tackle a problem well-roundedly from an all angles. Track 2 The value of the solutions that IDS can provide is through combining the expertise from multiple disciplines to tackle a problem from an all-round angle. School of Computing Integrate components of data analytics to produce knowledge-based solutions for real-world challenges using public and private data sources. The candidature for full-time students is from a minimum of four semesters to a maximum of eight semesters. Only the full-time programme will be offered for this track. From AY2020/2021 intake, submission of GRE score is required. Read and pass eight ST level 5000 modules or higher amounting to 32 MCs Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . NUS graduate programmes cater to a variety of interests, namely: Doctoral degrees These are primarily research-based and are typically the first choice for students who seek depth of knowledge, enjoy creative problem solving, and who aspire to hold high level positions in their respective fields. 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. Master of Science in Statistics (Full-Time and Part-Time), D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. Faculty of Engineering 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. It encompasses latest research findings, both applied and fundamental. 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. Develop team skills to ethically research, develop, and evaluate analytic solutions to improve organizational performance. From AY2020/2021 intake, submission of GRE score is required. Teaching Institutions Read and pass eightST level 5000 modules or higher amounting to 32 MCs 3. Master of Science in Data Science. 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. Enter '00000', Check this box if you are active duty, veteran, guard, reserve, or a spouse/dependent. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. Please review our privacy policy for more details or contact us at dataprotection@nu.edu. 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. Read and pass the following two essential modules amounting to 8 MCs: Choose from associate, bachelor’s, and master’s degrees, plus credentials and certificates. The corresponding maximum candidature periods are 2-years and 4-years respectively. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional consulting project. Part II: Programmes The candidature for full-time students is from a minimum of four semesters to a maximum of eight semesters. AY2016/17 Attend class onsite at one of over 20 campus locations across California or in Nevada. The one-year full-time programme will give recent graduates the skillsets to thrive in the increasingly automated accounting industry. Track 1 Students have to fulfil the following conditions: 1. We’re proud to be a veteran-founded, San Diego-based nonprofit. H. NUS Graduate School for Integrative Sciences and Engineering; I. This course in Business Analytics is jointly offered by the School of Computing and the National University of Singapore Business School. 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. NUS – Institute of Data Science. Only the full-time programme will be offered for this track. Track 2 This degree is appropriate for both experienced professionals as well as recent college graduates. Offered in Singapore as a full-time (1-year) or part-time (2-year) programme, the NUS Master of Science in Business Analytics (MSBA) programme is designed to facilitate experiential learning, through a balance of intellectual academic rigour and hands-on applications. The program is designed to offer the students the content to dwell into the field of business analytics and build the … Part I: General 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. However, applicants who are graduates from Singapore local universities will be exempted from the GRE requirement. Analyze complex database queries for real-world analytical applications. Master in Business Analytics -. 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. Earn a Master's Degree Designed for Leaders in Business Analytics. Dr. Amirhassan Monajemi . Track 1 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. School of Business Track 1 Introduction. Since 1971, our mission has been to provide accessible, achievable higher education to adult learners. The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. ST5201 Basic Statistical Theory 1.2. 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. 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. Students have to fulfil the following conditions: The programme will be conducted by coursework. I understand that I may withdraw my consent at any time. For admission to Track 1 (40 MCs), a candidate must have, For admission to Track 2 (80 MCs), a candidate must have. I understand that consent is not a condition to purchase any goods, services or property, and that I may withdraw my consent at any time by sending an email to optout@nu.edu. Track 2 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. 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. NUS Mods Obtain a minimum Cumulative Average Point (CAP) of 3.00 University Scholars Programme Evaluate machine learning methods and strategies for advanced data mining. NUS Bulletin AY2020/21 Yong Loo Lin School of Medicine On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. 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 A candidate who has an Honours degree in Statistics or Mathematics might be exempted from reading one or more compulsory modules upon the approval … State-of-the-art analytical software will be used in all courses. Faculty of Arts & Social Sciences Candidates may be admitted to one of two study tracks which are catered to candidates with different levels of qualification. Obtain a minimum Cumulative Average Point (CAP) of 3.00 ST5201 Basic Statistical Theory Graduate Certificate in Data Science for Internet of Things (8 MCs including ST5225) EE5022 Cyber Security for Internet of Things (2MCs) EE5024 IoT Sensor Networks (2MCs) ST5202 Applied Regression Analysis 2. This one-year programme will help to meet the growing demands for big-data professionals by transforming … Duke-NUS Medical School Message and data rates may apply. Faculty of Law Instructions for Phone input: Numbers only. Courses will be conducted during the university semesters. It encompasses latest research findings, both applied and fundamental. Institute of Systems Science Bulletin Updates Track 1 AY2015/16. Focus on one subject at a time — one month at a time — and finish your degree faster. I confirm that the information provided on this form is accurate and complete. The NUS Master of Science (MSc) in Forensic Science is a multidisciplinary graduate degree programme, synergising both law and science. The objective of the programme is to provide a sound knowledge of the statistical principles and methods required by practising statisticians. Graduate Certificate in Data Mining for Industry (Choose both) CS5228 Knowledge Discovery and Data Mining. Read and pass the following two essential modules amounting to 8 MCs: 1.1. About NUS ST5227 Applied Data Mining. Master of Computing - Computer Science Specialisation The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. Faculty of Dentistry NUS Graduate School for Integrative Sciences and Engineering 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. The programme is supported by leading NUS researchers in data science as well as data scientists from industry, and offers multiple data science specialisations. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. e.g. Classes start monthly, and applications are accepted year round. Construct data files using advanced statistical and data programming techniques to solve practical problems in data analytics. Part IV: Archived Bulletins IDS coordinates and supports data science research initiatives across NUS. Be an entrepreneur, artist, scientist, designer, business executive. Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. The candidature for full-time students is from a minimum of two semesters to a maximum of six semesters. An equivalent overseas degree (a four-year Bachelor’s degree) For admission to Track 1 (40 MCs), a candidate must have I also consent and agree to receive email communications, pre-recorded messages, phone calls, and/or SMS/Text Messages – using automated technology – about educational opportunities from National University, the National University System and/or its affiliates. SINGAPORE, Jan. 13, 2021 /PRNewswire/ -- The National University of Singapore (NUS) Business School has launched a new Master of Science in Accounting programme to develop talent in accounting and data analytics skills. Faculty of Science Students who underwent the NUS Masters of Science in Business Analytics (MSBA) programme will be well-equipped with skills such as machine … Dr. Amirhassan Monajemi . By submitting this form, I confirm that the information provided on this form is accurate and complete. 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. Subject to department approval, not more than two modules can be taken from other departments. Course of Study  8885551212, Instructions for Zip Code input: International? Education at NUS Spatial Reasoning from Sensor Data (TGS-2020001513) Duration: 3 days A local honours degree in related fields, or equivalent Graduate Diploma in Systems Analysis Designed to help IT graduates stay relevant and non-IT graduates to craft a new career path in the IT industry Graduate Diploma in Systems Analysis 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. ST5202 Applied Regression Analysis It is best suited for professionals who wish to enhance their existing skill sets to progress from the entry level to specialist or expert level positions in the data science … The sky's the limit. School of Design & Environment Level-4000 courses will normally be conducted during day time and most of the level-5000 courses will be conducted in the evenings. Students have to fulfil the following conditions: With Computing, you can transform an idea into something real, and share it with millions of people around the world. The candidature for part-time students is from a minimum of four semesters to a maximum of eight semesters. Other Multidisciplinary/ Special Programmes Click here for program specific course information. Students will gain an understanding of topics like: statistical modeling; machine learning; data … Part III: Modules 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. Level-4000 courses will normally be conducted during day time and most of the level-5000 courses will be conducted in the evenings. Study when and where it’s convenient for you with evening, weekend, and 100% online classes. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. Academic Calendar NUS-ISS offers five graduate programmes which focus on the practical aspects of information technology (IT) and data science. Apply or transfer any time. Students have to fulfil the following conditions: 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. Provost's Welcome Message Period of Candidature Read and pass six ST level 4000 modules amounting to 24 MCs. Administrated by the NUS Faculty of Science, the programme is designed to nurture leaders in forensic science, and taps on the expertise of both NUS academic units and government agencies to provide a well-rounded education that is current, and also relevant. AY2018/19 Yong Siew Toh Conservatory of Music Saw Swee Hock School of Public Health Core topics include data modeling, data management, data mining, continuous and categorical data methods and applications, teamwork, and communication. The programme also provides advanced and in-depth knowledge of IT to … Evaluate data management methods and technologies used to improve integrated use of data. Good performance in Math modules 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. NUS SCALE Data Analytics Courses. 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. Design an analytic strategy to frame a potential issue and solution relevant to the community and stakeholders. The objective of the programme is to provide a sound knowledge of the statistical principles and methods required by practising statisticians. 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, and the Saw Swee Hock School of Public Health. There is only one intake per academic year in August. As a Yellow Ribbon school, we offer tuition discounts to servicemembers and dependents. Computing exists anywhere and in any field. Programme Structure Today, we educate students from across the U.S. and around the globe, with over 175,000 alumni worldwide. The candidature for full-time students is from a minimum of two semesters to a maximum of six 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. 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 or contact us for more details at dataprotection@nu.edu. Previous academic studies or industrial experience in such areas as math, statistics, computer programming, engineering, or science are helpful prerequisites for this masters program. By checking this box as my electronic signature and submitting this form by clicking the Request Info button below, I provide my express written consent to representatives of National University and National University System affiliates (City University of Seattle, John F. Kennedy University, and Northcentral University) to contact me about educational opportunities, and to send phone calls, and/or SMS/Text Messages – using automated technology, including automatic dialing system and pre-recorded and artificial voice messages – to the phone numbers (including cellular) and e-mail address(es) I have provided. 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 Our stackable modules give learners the ability to choose the exact set of skills they want to master. Yale-NUS College ST5227 Applied Data Mining. Advanced topics include how to develop, implement, and maintain the hardware and software tools needed to make efficient and effective use of big data including databases, data marts, data warehouses, machine learning, and analytic programming. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. Courses will be conducted during the university semesters. 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