Awards, NUS Business hits record high in virtual charity run with over half a million raised, Sung Kah Kay Asst Prof Kuldeep Meel named IEEE’s ‘AI’s 10 to Watch’, Asst Prof Deepak Nair awarded Best Article Prize in the European Journal of International Relations, NUS engineers create ‘smart’ aerogel that turns air into drinking water, Dr Oon Chiew Seng: Overcoming adversity and seizing opportunity, New study sheds light on cross-national families in S’pore, Arts & Social I am particularly excited that this collaboration will allow non-IT students, as well as IT students, who will acquire deeper data science and analytics capabilities, to understand how we can harness data and convert it into intelligence, insights, and actions. You will get to learn practical skills targeted at building industry professionals with an emphasis on basic Python programming, the Pandas and scikit-learn libraries, and Colaboratory Juptyer notebooks.

By Tan Chee Chiang, Research Computing, NUS Information Technology, on 12 May 2020

We launched Data Engineering support services a while ago to support and accelerate data centric research such as in Analytics and AI. We will discuss the similarities and differences between Data Engineers and Data Scientists, and on how Data Engineers can help in both data-centric research … The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. … Interdisciplinary data science hub at NUS Established with an initial investment of S$12 million over five years, IDS will leverage and mobilise NUS’ existing strengths in diverse disciplines to create integrated capabilities in data science research so as to push the boundaries of current knowledge. Even better, it will allow people from a cross-section of disciplines to co-create solutions that will build a Singapore Next that is smarter and more inclusive,” said Jessica Tan, Managing Director of Microsoft Singapore. Trustees, President's “Data science research, translation and education is an important strategic thrust of NUS. Data engineers build tools, infrastructure, frameworks and services which allow them to tease insights from the myriad of data streams being generated. For this option, students will complete around 240 hours of work in an MCS-approved placement and produce a final report. Combined, the Capstone bears 10 Modular Credits. 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, … It also serves to develop further skills in technical exposition, both written and spoken. The signing ceremony was also witnessed by Wong Ngit Liong, Chairman of NUS Board of Trustees, Professor Tan Chorh Chuan, President of NUS, Satya Nadella, Chief Executive Officer of Microsoft, and Cesar Cernuda, President of Microsoft Asia Pacific, along with faculty members, students and guests. Across societies, we find mathematics not only in the service of science, government, and ritual, but also for its own sake – an aesthetic of mathematical beauty. Majoring in Mathematical, Computational and Statistical Sciences (MCS) offers the opportunity to pursue traditional curricula as well as curricula that cut across disciplinary boundaries. In addition to learning knowledge in data science, students will also have opportunities to explore the integration of machine learning and data analytics in sectors such as financial industry, healthcare and government. 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). Electives. IDS coordinates and supports data science research initiatives across NUS. On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. At least 4 MC need to be at the 4000 level in addition to the 10 MC capstone. Welcome to NUS Department of Statistics & Applied Probability The Department of Statistics and Applied Probability (DSAP) was established in 1 April 1998 with the goals to advance statistical and data science, and, ultimately by its application, to improve and provide adequate services to … Consultancy and support directly from technical experts and data scientists from Microsoft. They have the ability to collect, curate, analyse and visualise data … Data Analytics Basic Courses . Our researchers will also engage in joint research with Microsoft to develop novel, integrated solutions to industry-relevant data science problems, and in turn, harness technology to improve lives of Singaporeans,” said Professor Ho Teck Hua, Deputy President (Research & Technology) of NUS. The National University of Singapore (NUS) and Microsoft today inked a Memorandum of Understanding (MoU) to collaborate on data science education and research. These internships must have an MCS focus and be organised or approved by the Head of Studies or designate. The capstone experience offers each student an opportunity to learn a subject in great depth, to apply and reflect on previous coursework, and to reach out to other disciplines. The MCS major requires students to complete 54 Modular Credits (MC) including a capstone project that is worth 10 MC. They will work individually or collaboratively on a project to enhance knowledge and computing skills for deriving insights from data through machine learning. Section 1: Introduction to Course and Python Fundamentals – In this introduction, an overview of key Python concepts is covered as well as the motivating factors for building industry professionals to learn to code. The Compulsory Modules for Computer Science are YSC2229 Introductory Data Structures and Algorithms, YSC3232 Software Engineering, and YSC3208 Programming Language Design and Implementation. It prepares students with a distinctive set of interdisciplinary skills for careers in academia or industry. 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). Mathematics and computation have occupied a central place in the liberal arts curriculum from its earliest history. Traditional curricula can prepare students for graduate study in Mathematics, Computer Science or Data Science, as well as specialised careers in industry. Aid, Board of AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 We encourage students to pursue an MCS minor to enhance their major, to explore their curiosity, and to develop skills for future employment. 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. Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. Additionally, one of the Specialist Modules YSC3236 Functional Programming and Proving or YSC2244 Programming for Data Science is required. Sample topics include: topological field theory and physics; robotics; number theory and cryptography; survival statistics; social network analysis; computer graphics; smartphones as a distributed computing platform; neuroimaging. MSc in Data Science and Machine Learning (about DSA5201) Student will study different practical issues of data science through this module. All Rights Reserved, +65 6601 2416 (Admissions-related queries). Introduction. The MoU, which established a private-public collaboration to enable research and tools development for data science, was signed by Professor Ho Teck Hua, Deputy President (Research & Technology) of NUS, and Jessica Tan, Managing Director of Microsoft Singapore. Mathematics continues to flourish with powerful applications. MCS faculty are pleased to assist students to design a suitable programme of study for the minor. NUS and Microsoft Collaborate on Data Science Education and Research, Press NUS – Institute of Data Science. 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 Cortana Intelligence Suite Education Programme will provide the following benefits to support the data science talent requirements in Singapore: NUS will also collaborate with Microsoft researchers to work on research areas of mutual interest, such as data science, deep learning and artificial intelligence, and extend co-creation opportunities with Microsoft researchers into building tools for broader use in the Asia Pacific education scenarios. The course promises to deliver a comprehensive and exciting content on the importance of data science for the built environment professionals. NUS SCALE Data Analytics Courses. In addition to grooming more data scientists to support the talent requirements in Singapore, Microsoft will provide its data science curriculum assets, jointly developed by experts from the data science industry, and collaborate with NUS to develop content for the university’s general education curriculum relating to data science. This subject guide covers resources available at the NUS Libraries. This is where data engineering comes in. Through the unique curriculum offerings that are designed in collaboration with Microsoft, NUS students can better appreciate the value, opportunities, and insights that big data can provide. Moreover, with vast amounts of data being collected through the nationwide network of sensors, the ability to make sense of and analyse huge amounts of complex data will enable Singapore to fully harness the power of technology to create solutions that can improve the lives of citizens, and create greater opportunities for businesses. Feel free to contact us for help on the following: NUS Libraries' services, resources and facilities; NUS Computing - Data Science & Business Analytics Data Science & Business Analytics Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. Environment, Integrative Sciences The age of the fourth industrial revolution has seen the explosion of data, with a mind-boggling 2.5 quintillion bytes of data created each day at our current pace. These modules can be selected from MCS module offerings and approved NUS modules. The framework will also pave the way for both parties to collaborate on capability and talent development in the fields of analytics and research, with the aim of fostering a pool of skilled individuals equipped with a strong understanding of data analytics and data science, to support Singapore’s Smart Nation vision. Grants for students to access Cortana Intelligence Suite, Microsoft’s fully managed big data and advanced analytics service on the cloud; Access to a world class data science and big data curriculum that includes 200+ hours of content including tutorials, labs and assignments; and. New Memorandum of Understanding aims to accelerate innovation and skills for a Smart Nation. & An MCS minor offers students the opportunity to engage with advanced topics in mathematics, computation, and statistics. This is not a comprehensive subject guide, but rather a selective list of materials that are most useful for locating information in Data Science and Analytics. 7 January 2021 – NUS Computing teams excelled at the recent International Collegiate Programming Contest (ICPC) Jakarta regional contest, held online from 18 to 20 December 2020.NUS teams swept the top three positions at the competition, with Teams MLG, (((i^c)>>2)/p)|c), and 3Sophonomore winning first, second, and third place respectively. Data Analytics Consulting Centre Block S16, Level 7 6 Science Drive 2 Faculty of Science National University of Singapore Singapore 117546 dacc@nus.edu.sg Business Hours Monday to Thursday: 8.30 am – 6.00 pm Friday: 8.30 am – 5.30 pm Engineering, Financial Office, Service 2 MC MCS modules do not count towards the major. Reports, Press At least 9 MC of elective modules are required. The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. 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. It also combines data analytics with machine learning. “Data is the new electricity powering the digital transformation that all of us are experiencing, whether we are consumers or businesses. With this PhD program, IDS aims to educate the next generation of "brain-heavy" data scientists. Please check the major’s requirements with the Head of Studies. In addition to the project, the capstone includes a weekly seminar. The collaboration provides a framework for both parties to work collectively on data science research, and translate the research into tools and methodologies that can be used by the industry and academia in Singapore and the Asia Pacific. Students may also opt to do an internship-based capstone. To minor in MCS, a student must complete the 3 Core Modules YSC1212 Introduction to Computer Science, YSC2209 Proof and YSC2239 Introduction to Data Science plus 10 MC of elective MCS modules. Focus Area Data Science. This can be an excellent supplement for students pursuing a major in quantitative social sciences, natural science, philosophy, etc. The NUS MSc in Data Science and Machine Learning is supported by leading NUS researchers in data science as well as data scientists from industry. Commitment. In recent centuries, the mathematical sciences have been viewed as fundamental to describing the laws of nature. As part of this collaboration, Microsoft also becomes the first industry partner of the newly-launched NUS Institute of Data Science, which will be the focal point for all data science research and translation, education and related activities at NUS. The required Core Modules are YSC1212 Introduction to Computer Science, YSC2209 Proof and YSC2239 Introduction to Data Science. It is important that we ready our workforce for tomorrow’s smart economy – one that is increasingly digitised for networked intelligence. At least 9 MC of elective modules are required. Additionally, one of the Specialist Modules YSC4216 Machine Learning or YSC2244 Programming for Data Science is required. The Compulsory Modules for Mathematics are YSC3206 Introduction to Real Analysis, YSC2232 Linear Algebra and YSC3240 Foundations of Applied Mathematics. Lifelong Room, Staff Students will take three Core Modules, four courses in one of the three Focus Areas, Mathematics, Computer Science and Data Science, and at least 9 MC of electives. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. 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. Releases, News The Compulsory Modules for Data Science are YSC2243 Probability, YSC3249 Statistical Inference and YSC2232 Linear Algebra. Sciences, Continuing and These facilities are central to our mission of promoting active experiential learning in science and supporting faculty in achieving their research goals. The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data for business competitiveness. Science at Yale-NUS College is supported by a wide range of specialised laboratories, scientific equipment, field resources and computing infrastructure. NUS will become the first university in Asia to adopt Microsoft’s data science curriculum, and leverage these assets to train and develop talents in data analytics and data science. As Singapore continues on the journey to realise its Smart Nation vision, the demand for skilled individuals who understand how technology can be deployed effectively and efficiently to achieve productive and inclusive growth as a nation will only increase. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. In the 20th century, statistics enabled the growth of the social sciences. Each Focus Areas has three Compulsory Modules and two Specialist Modules from which one should be completed. This course is part of the Software Systems series, Data Science series, Graduate Certificate in Big Data Engineering & Web Analytics as well as Graduate Certificate in Engineering Big Data series offered by NUS-ISS. We are very excited to partner Microsoft, a world leader in big data solutions, to expand and deepen our capabilities in this important area. The Compulsory Modules for Data Science are YSC2243 Probability, YSC3249 Statistical Inference and YSC2232 Linear Algebra. Such skills are highly – and widely – sought after in the workforce. Graduating students will enjoy the self-confidence and initiative that comes from having successfully conducted an independent research inquiry. Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. Concurrent Degree with Lee Kuan Yew School of Public Policy, Concurrent Degree with NUS School of Computing, Concurrent Degree with Yale School of Public Health, Double Degree Programme in Law and Liberal Arts, Silver Scholars Programme with Yale School of Management, Special Programme with Yale School of the Environment, Yale-NUS & Duke-NUS Liberal Arts and Medicine Pathway, About Centre for International & Professional Experience (CIPE), Makerspaces, Initiatives, Community and Exhibitions (MICE), Lectures, Workshops, Conferences and Seminars, Mathematical, Computational & Statistical Sciences, © Copyright 2021 Yale-NUS College.

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