Like every university in Singapore, NTU has its own admission criteria and applicants need to be aware that the criteria may vary from programme to programme. NTU and Singtel set up corporate lab for AI and data science NTU_PageContent Singtel today signed agreements with Nanyang Technological University, Singapore (NTU Singapore) and the Agency for Science, Technology and Research (A*STAR) to spearhead R&D efforts in emerging technologies that will support Singapore’s transformation into Smart Nation and help enable the country’s digital economy. This course covers how to obtain data from the web, and prepare retrieved data in various formats for further analysis. Nanyang Technological University, Singapore (NTU Singapore) and AMD have joined forces to launch a Data Science and Artificial Intelligence Lab, which will nurture next-generation tech leaders equipped with the latest industry-driven digital skills. Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. The Big Data Analytics thematic PhD programme focuses on Big Data Analytics for large-scale, complex and real-time data. critically evaluate the impact of big data and data science associated technologies on business, government and society in both local and global contexts demonstrate a critical understanding of the cultural and operational barriers to deriving innovation and business value from big data This is achieved by integrating statistics, mathematics and computing, as well as machine learning and AI. College of Science is a college of Nanyang Technological University, NTU Singapore The Data Science and AI Research Centre (DSAIR) combines NTU’s deep expertise in AI and machine learning with big data analytics to pioneer new technologies. The Data Science and AI Research Centre (DSAIR) combines NTU’s deep expertise in AI and machine learning with big data analytics to pioneer new technologies. Archived [Uni] NTU Data Science and AI. For more enquiries, please email us at ntulearnplus@ntu.edu.sg . These 5 courses in Introduction to Data Science Suite aim to introduce the core concepts of problem formulation, data exploration, visualisation, data presentation, and statistical inference, which constitute the analytics toolbox for any practicing Data Scientist in the industry in order to make fundamental data-driven decisions in diverse business scenarios. We are interested in computational systems biology, starting from molecular dynamics to multi-omics data, to large scale evolution and adaptation in populations. Explore the entire course list here, organised by area of interest as well as by type of programme. 1 Analytics Practicum Module (Self-soucred Internship) 4. DR-NTU (Data) Mission DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community in various disciplines. Mobile Microlearning Courses: Introduction to Data Science, Mobile Microlearning Suite: Introduction to Data Science, Embark on your lifelong learning journey anytime and anywhere at your convenience with, Suite to get full access for all 5 courses, or register for individual course. No. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree. In Research, DSAIR rivals leading labs and aims to be a source of phenomenal AI capacity that advances a deeper understanding of the human’s neural and cognitive abilities for Enterprise and Society dependent outcomes. NTU's programme is Data Science and AI, while NUS' programme is Data Science and Analytics -- you can see that the emphasis in both courses are different. Python for Basic Data Analysis Get started on your learning journey towards data science using Python. School of Social Sciences. NTU’s Data Science & Artificial Intelligence Research Centre is churning out the tools and the expertise to decipher big data. For more information about DSAIR and enquires on Data Science & Artificial Intelligence Research, kindly contact us: Email : NTU-DSAIR@ntu.edu.sg Address: DSAIR @ NTU, "Data is the new Oil” in the modern era of Information. MS0003 Introduction to Data Science and Artificial Intelligence GER Core 3 MH2811 Mathematics II Core: 3 MS2012 Introduction to Manufacturing Processes Core: 3 MS2013 Polymers and Composites Core: 3 MS2014 Materials Structure and Defects Core: 3 MS2015 Mechanical Behaviour of Materials Core: 3 H6752 Data Extraction Techniques. Biological Data Science. This is the web resource for NTU's Bio-Data Science and Education Laboratory. PaCE@NTU offers Semester–long courses which are bite-sized courses taken from both the Undergraduate and Graduate full degree programmes. Science Citation Index Expanded (SCI-EXPANDED) --1900-present 8. Like every university in Singapore, NTU has its own admission criteria and applicants need to be aware that the criteria may vary from programme to programme. This is likely to keep pace with the growing industry demand, and perhaps to offer unique inter-disciplinary curriculums that ‘data science’ is defined by – it is a combination of computer science, statistics, operations research, engineering, business insights & strategy. We are interested in computational systems biology, starting from molecular dynamics to multi-omics data, to large scale evolution and adaptation in populations. The programme is a joint collaboration between Nanyang Technological University (NTU) and the Agency for Science Technology and Research (A*STAR) Singapore. 16-May-2019 PhD students under this programme will enable the advancement of fundamental research in data science to address the significant emerging challenges posed by the need for Scalable Data Analytics Techniques and Technologies, particularly focused on intersections with … [Uni] NTU Data Science and AI. NTU Master of Science in Analytics, Singapore. Bachelor of Science in Data Science and Artificial Intelligence (New programme from AY18/19 onward) NTU_PageContent This is a full time four-year direct honours BSc degree programme jointly offered by SCSE and SPMS for students who aspire to master the demands of integrating the synergistic disciplines of computer science and statistics. Course Contents . Biological Data Science. View the Project on GitHub gohwils/biodatascience. Reg. 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. 55808 Room 513, College of Social Sciences No. This curriculum applies to students admitted in AY2019/2020 (or later) who are pursuing a BSc (Hons) in Mathematical and Computer Sciences (Double Major). BY Data Science & Artificial Intelligence Research Centre@ NTU (DSAIR), Last modified on ServiceNow@NTU; Workday@NTU; Ariba@NTU; SAP@NTU; NTU VPN; Email; Reset Password; Go to Advanced Search. 974 likes. Students will learn various data crawling techniques and tools both through lectures and hands-on exercises in labs. Opinion mining and sentiment analysis. In addition to this list, NTU also provides a comprehensive list of minor programmes that you can take along with the courses that are a part of your major programmes to broaden your study options. You will also learn extensive mathematical and statistical theory and techniques, applying this knowledge to a range of problems linked to … 8 Elective Modules to Choose From 3. Disclaimer • 7. While his research interest revolves around the "science of security" (primarily focused on cryptology), he loves to teach the "art of analytics" (broadly dealing with data science). The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity. The MSc in Analytics programme is an intensive one-year full-time or two-year part-timeprogramme by coursework, taught in three semesters. You may be trying to access this site from a secured browser on the server. Since data science is an interdisciplinary field consisting of applied mathematics and computer science, DSAI programme was created to include the relevant modules covering both fields. Close. NTU’s Data Science & Artificial Intelligence Research Centre is churning out the tools and the expertise to decipher big data. 7. In today's era of Information, ‘Data’ is the new driving force, provided we know how to extract relevant ‘Intelligence’. Core Data-Science Module o Week 1 will teach you the premise of Data Science, and how to formulate data-oriented problems o Week 2 will teach you how to wrangle acquired data to suit your needs, and how to get it cleaned o Weeks 3 and 4 will introduce you to the art of presenting data, with basic exploratory data analysis Machine Learning Tools Jonathan Ng is a second-year Nanyang Research Scholar at the NTU School of Biological Sciences (SBS), where he is currently working on his Ph.D. project, involving the development of machine learning models to identify the functions of plant genes, such as those involved in … Programme Overview and Admission Requirement The Master of Science in Materials Science and Engineering is offered in NTU and is intended to equip students with the latest postgraduate level knowledge in materials science and engineering. NTU offers many programmes to suit your individual requirements. Please enable scripts and reload this page. The Singapore Data Science Consortium (SDSC) have launched the SDSC Dissertation Fellowship 2020. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. There are 2 types of programmes: by Coursework and Dissertation and by Research.After you have read the admission requirements and decided on the programme you wish to take, apply online for Research program or apply online for Coursework programme. Currently, you need to be enrolled in the biomedical data science masters programme to be eligible for BMDSIS. An interdisciplinary post-graduate programme suitable for professionals seeking to leverage business analytics in … This course will start with the core principles of Data Science, and will equip you with the basic tool and techniques of data handling, exploratory data analysis, data visualization, data-based The programme consists of a total of 30 Academic Units (AU), with 24 AU stemming from core courses and 6 AU from elective courses: 1. 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