This can be an excellent supplement for students pursuing a major in quantitative social sciences, natural science, philosophy, etc. 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. This subject guide covers resources available at the NUS Libraries. Please check the major’s requirements with the Head of Studies. Electives. Traditional curricula can prepare students for graduate study in Mathematics, Computer Science or Data Science, as well as specialised careers in industry. 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. 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. At least 9 MC of elective modules are required. Data Analytics Basic Courses . 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. Releases, News 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 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. The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. 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). In the present day, computers are not merely aiding in the observation of societies, but evidently reshaping them. 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. Education, Design & & 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. Staff : CLBJT Students : - A0135790 (Registered before 2015) - E0246810 (Registered from 2015 onwards) 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. Office, Service 2 MC MCS modules do not count towards the major. Each Focus Areas has three Compulsory Modules and two Specialist Modules from which one should be completed. Trustees, President's NUS – Institute of Data Science. Reports, Press IDS coordinates and supports data science research initiatives across NUS. 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. 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. Such skills are highly – and widely – sought after in the workforce. The course promises to deliver a comprehensive and exciting content on the importance of data science for the built environment professionals. The required Core Modules are YSC1212 Introduction to Computer Science, YSC2209 Proof and YSC2239 Introduction to Data Science. An MCS minor offers students the opportunity to engage with advanced topics in mathematics, computation, and statistics. 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 Compulsory Modules for Computer Science are YSC2229 Introductory Data Structures and Algorithms, YSC3232 Software Engineering, and YSC3208 Programming Language Design and Implementation. Engineering, Financial It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in academia or … Combined, the Capstone bears 10 Modular Credits. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. 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). At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. We are very excited to partner Microsoft, a world leader in big data solutions, to expand and deepen our capabilities in this important area. Please check the minor’s requirements with the Head of Studies. Feel free to contact us for help on the following: NUS Libraries' services, resources and facilities; On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. These modules can be selected from MCS module offerings and approved NUS modules. 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. It also combines data analytics with machine learning. Specifically, Microsoft will provide its Cortana Intelligence Suite Education Programme to help NUS faculties and schools create an optimal environment for data science labs and projects, as well as its Advanced Analytics Process and Technology (ADAPT) to enable the building and deploying of predictive models at NUS. 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. Additionally, one of the Specialist Modules YSC4216 Machine Learning or YSC2244 Programming for Data Science is required. These facilities are central to our mission of promoting active experiential learning in science and supporting faculty in achieving their research goals. For this option, students will complete around 240 hours of work in an MCS-approved placement and produce a final report. In recent centuries, the mathematical sciences have been viewed as fundamental to describing the laws of nature. New Memorandum of Understanding aims to accelerate innovation and skills for a Smart Nation. … 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. We encourage students to pursue an MCS minor to enhance their major, to explore their curiosity, and to develop skills for future employment. 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 … In addition to the project, the capstone includes a weekly seminar. Consultancy and support directly from technical experts and data scientists from Microsoft. They will work individually or collaboratively on a project to enhance knowledge and computing skills for deriving insights from data through machine learning. At least 4 MC must be at the 4000 level unless already taken as a focus module. This is where data engineering comes in. NUS SCALE Data Analytics Courses. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. 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. Mathematics and computation have occupied a central place in the liberal arts curriculum from its earliest history. 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. 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. Microsoft will also provide internship opportunities for NUS undergraduate and graduate students. Students in the MCS major develop skills in analysis and problem-solving, and in the communication of complicated information. Lifelong Introduction. 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. Overview Harness the Potential of Big Data and Machine Learning. The Compulsory Modules for Data Science are YSC2243 Probability, YSC3249 Statistical Inference and YSC2232 Linear Algebra. The Compulsory Modules for Data Science are YSC2243 Probability, YSC3249 Statistical Inference and YSC2232 Linear Algebra. And visualise Data … Focus Area Data Science has its own specialisations and unique learning paths be... 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