Home / NUS Bulletin AY2020/21 / Faculty of Science / Undergraduate Education / Degrees Offered / / / / The Faculty offers ... Computational Biology, Data Science and Analytics, and Pharmaceutical Science are strict four-year programmes, while all other programmes allow for graduation after three years with a general Bachelor of Science degree. Also tell me which is the good training courses in Machine Learning, Artificial Intelligence and Data Science for beginners. Speaker Prof Lim Tiong Wee received his undergraduate education in mathematics and graduate education in statistics at Imperial College London and Stanford University, respectively. The new NUS Institute of Data Science will coordinate these interdisciplinary efforts and create a critical mass of researchers focused on this important area of research. Data & Analytics in Life Sciences Forum @IQPC March 9-11, 2015 Boston, Massachusetts. Part II: Programmes by Dr Lee Yen Teik Through a mix of discussions and experiential exercises, this topic applies scientific methods to translate raw data … It is important to note that the number of course places changes from year to year. Main; Databases; Books & Reference Sources; Journals; Theses; Scientific Communication & Presentation; Library Instruction & Tips; Open Educational Resources; FindMore@NUSL Introduction This subject guide covers resources available at the NUS Libraries. School of Design & Environment Geospatial and 3D urban modelling research group at the National University of Singapore. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. Minors: Financial Mathematics, Mathematics, Statistics. The four-year direct Honours programme in Data Science and Analytics (DSA) is designed to prepare graduates who are ready to acquire, manage and explore data … NUS e-OPEN HOUSE 2020 . Yong Loo Lin School of Medicine DSA3102 Essential Data Analytics Tools: Convex Optimisation* Not really looking for definitive answers but perspectives by those who know more about or are experienced in this field. Welcome to /r/singapore the reddit home of the country Singapore. Collecting data is a skill. What is this programme? 35. Module 4: The Hadoop Ecosystem for Big Data. Level 3000 and 4000 (20 – 24 MCs) Our educational and outreach programmes aim to raise awareness of the fast-growing data science sector. Can you also elaborate on your jobscope? The demand will only rise as "Smart Nation" takes a stronger foothold, as self-driving cars become a norm, as physical services start to get replaced by digital services. The New Zealand Analytics Forum is a community of over 2,000 professionals who apply analytics to solve business problems. The GARTNER PEER INSIGHTS Logo is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. Not sure if I should accept and hence I'm here to seek opinions. B.Sc. (Hons.) CS3244          Machine Learning NUS Bulletin– Essential information that concerns you as a student. The Heidelberg Laureate Forum is the result of a joint initiative of the Heidelberg Institute for Theoretical Studies and the Klaus Tschira Stiftung, and is a one-week event combining scientific, social and outreach activities. Venkat N. Gudivada, in Data Analytics for Intelligent Transportation Systems, 2017. 21 July 2020 Department of Computer Science, Department of Information Systems & Analytics, Student, Data Science & Business Analytics, Artificial Intelligence, Intelligent Systems 21 July 2020 – A team comprising of NUS Computing and School of Design and Environment Master’s students emerged champions at the Microsoft Azure Virtual Hackathon , held online from 17 April to 19 June this year. with a major in Statistics (specialisation in Data Science) [160 MCs] B.Sc. Investigators: Wynne Hsu (PI), Dept. 2.5 Days . In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. 1 Dec & 7 Dec 2020 (9am – 5pm) 10 Dec 2020 (9am – 11am) Duration. 48 – 50 DSA4211      High-Dimensional Statistical Analysis, DSA4212      Optimisation for Large-Scale Data-Driven Inference*, ST3240          Multivariate Statistical Analysis. Academic Calendar ^ (1) As part of the Data Science and Analytics programme, FoS is planning to co-develop modules on data analytics for functional areas such as business, healthcare and public policy making with other Faculties/Schools. Duke-NUS Medical School There won't be a large number of research papers dealing in your company's domain and most companies treat this as proprietary/secret knowledge not to be shared with outsiders. Topics include map-reduce as a tool for creating parallel algorithms that operate on very large amount of data, similarity search, data-streaming processing, search engine technology, and clustering of very large high-dimensional datasets. One of the following modules: ^ (1) As part of the Data Science and Analytics programme, FoS is planning to co-develop modules on data analytics for functional areas such as business, healthcare and public policy making with other Faculties/Schools. The NUS degree programme in Data Science and Analytics will equip you with the necessary analytical and communication skills to gain a competitive edge in this rapidly growing field. Module 5: Distributed File Storage. MSc with Data Analytics Specialization. The Data Science Forum holds meetings that focus on hot data science topics, machine learning, and business analytics. And, what are some relevant things you would advise that I learn beforehand to have solid foundation before entering the course? Your degree is worth it's weight if you can do big data analytics of raw data. In what ways and extent are the things you learnt in your course and modules applicable to what you are currently doing? MA1101R Linear Algebra I Anyone else also being offered this course? NUS Graduate School for Integrative Sciences and Engineering So to a company that does serious data science, even a masters is seen as just barely sufficient. List I^ Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. Certificate in Digital Marketing and Content Creation, and is a part of the Digital Innovation and Design series and Data Science series offered by NUS-ISS. We explore analytics and data science across different industries, and seek to have a positive influence in New Zealand. DSA4212      Optimisation for Large-Scale Data-Driven Inference* Centre for English Language and Communication Institute of Systems Science One module from List I You need to understand the data, figure out its characteristics and then figure out how best to modify the data, figure out if you need more or different data, figure out how to modify a data science technique for the problem at hand. Press J to jump to the feed. Level 1000(10 – 12 MCs) B.Sc. And if the company you work for doesn't require stuff that fall into any of the domains taught in these schools, you'll have to pick it up on your own and figure out how best to apply data science techniques and how to adapt them to the company's domain all on your own. Data Science & Analytics. The Bachelor of Science in Business Analytics provides students with the ability to apply appropriate business analytics techniques so that business data can be transformed into value-added information. † Applicable only to students who use MA1513 Linear Algebra with Differential Equations (2 MCs) to fulfil the second major requirements. So if IT workers get paid peanuts, data science workers also get paid peanuts. Module 2: Understand Big Data from an Analytics Perspective. Data science is an inter-disciplinary field about processes and systems to extract knowledge or insights from data in various forms and makes use of techniques and theories drawn from the broad areas of computer science, mathematics and statistics. Part I: General Level 2000(16  MCs) ST2131/MA2216 Probability NUS e-OPEN HOUSE 2020 . Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. MA1521 Calculus for Computing MA3236 Nonlinear Programming* Part III: Modules Being able to draw out meaningful insight is even more challenging. ST4248         Statistical Learning II One of the following modules: It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in … 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). Topics include map-reduce as a tool for creating parallel algorithms that operate on very large amount of data, similarity search, data-streaming processing, search engine technology, and clustering of very large high-dimensional datasets. Provost's Welcome Message So yeah.... Might not be as easy as it seems. MA3252 Linear and Network Optimisation Data Science Campaign Analytics This is a hands-on course that teaches you how to select optimal mix of media channels, best creative(s) for campaign and measure effectiveness of overall campaign. This second major is not offered with the following primary majors and minors: Primary Majors: Applied Mathematics, Business Analytics, Computational Biology, Computer Engineering, Computer Science, Data Science and Analytics, Industrial and Systems Engineering,  Information Security, Mathematics, Quantitative Finance, Statistics. ST2132 Mathematical Statistics Why study BSc (Hons) Data Science & Analytics at BU? Primary Majors: Applied Mathematics, Business Analytics, Computational Biology, Computer Engineering, Computer Science, Data Science and Analytics, Industrial and Systems Engineering,  Information Security, Mathematics, Quantitative Finance, Statistics. Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. (Hons.) The Faculty of Science’s newly launched Data Analytics Consulting Centre (DACC) offers consulting services and executive courses, helping organisations to unlock the value of Big Data for business growth and transformation. While demand for data analysts is at an all-time high, the online community still leaves some to be desired. Bulletin Updates 35. Students who underwent the NUS Masters of Science in Business Analytics (MSBA) programme will be well-equipped with skills such as machine learning to excel in the data-analytics field across various industries such as finance, retail, information technology, supply chain, and healthcare. D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. ST3240          Multivariate Statistical Analysis Complete a 10-minute Gartner Peer Insights Survey for Data Science and Machine Learning for a $25 USD Visa Prepaid Gift Card* *Once your review is published on Gartner Peer Insights. The reason why data scientists often have masters is because its not that simple a task, and its somewhat of an emerging field. Strategic Technology Management Institute. NUS Business Analytics Centre (BAC) NUS BAC Advisory Board; Master of Science in Business Analytics (MSBA) Affiliated Faculty; Schools Menu Toggle. About NUS http://www.science.nus.edu.sg/images/LandingPage/Frontpage/Data_Science_Flyer.pdf. By “data business”, organizations can make use of the data it has stored to make better decisions and improve its operations, or it can turn data into its additional business by monetizing the data it has. This is something that I don't think a bachelor's degree alone would sufficiently prepare a student to do. There is a substantial shortfall worldwide in data scientists - individuals with expertise in data analytics. The McKinsey Global Institute reported in 2011 that the volume of data worldwide is growing at a rate of 40% per year. * Students may need to read additional modules outside the second major requirements to satisfy the pre-requisites of these modules. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Other Multidisciplinary/ Special Programmes Academic Information / Policies As many here have said, practically a Masters level certification is a minimum requirement for any data science project. They are allowed to read and pass an additional module from List I or List II in lieu of ST3131. Recently, Julian was ranked 6 th in the Microsoft Data Science Capstone Competition. Graduated(info sys) from NUS 2 years ago before this course was offered. Learn how to work with Big Data frameworks and develop results into contemporary visual analytics. The four-year direct Honours programme in Data Science and Analytics (DSA) is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire changes around the world. University Scholars Programme Module 6: NoSQL Databases for Big Data. This is not a comprehensive subject guide, but rather a selective list of materials that are … ST3247          Simulation This will in turn help organisations to improve their performance, understand their customers better and identify areas for improvement in the organisations' processes. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. AY2015/16. Teaching Institutions MA1507 Advanced Calculus The four-year direct Honours programme is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire change around the world. One additional module from List I or List II † is this undergrad degree likely to be attractive in finding a job as a data scientist or statistician? ^ (1) As part of the Data Science and Analytics programme, FoS is planning to co-develop modules on data analytics for functional areas such as business, healthcare and public policy making with other Faculties/Schools. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. However, where a module in List I or Lit II requires ST3131 as pre-requisite, the pre-requisite may not be fulfilled by EC3303. School of Computing For students matriculated in AY2017/18 and after: B.Sc. Faculty of Science Held in Singapore. If you want to do full-fledged data science (modelling, machine learning etc.) Dates 1 Dec & 7 Dec 2020 (9am - 5pm) 10 Dec 2020 (9am - 11am) Duration 2.5 Days Course Overview To gain understanding and working knowledge of Data Analytics and Decision Science. DATA SCIENCE AND ANALYTICS FAQs . † Applicable only to students who use MA1513 Linear Algebra with Differential Equations (2 MCs) to fulfil the second major requirements. NUS PhD (Data Science) 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).It prepares students with a distinctive set of interdisciplinary skills for careers in academia or industry. Levels This second major is not offered with the following primary majors and minors: One module from List II (I NSF lol still have 2 years before I enter uni). Our suite of data analytics courses cater to you wherever you are starting from and however in-depth you wish to develop your skills for the workplace. Yong Siew Toh Conservatory of Music Dates 1 Dec & 7 Dec 2020 (9am - 5pm) 10 Dec 2020 (9am - 11am) Duration 2.5 Days Course Overview To gain understanding and working knowledge of Data Analytics and Decision Science. Topics The Banking System The Financial System Financial Instruments Banking Data Decision Analytics in Finance Predictive Analytics Machine Learning Organisation Strategy Emerging Trends Big Data Data … The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. Fortunately, NUS is now offering this course, and I think it might adequately cover the topic for you to get started as a data scientist/analyst. Curriculum; Graduating Requirements; Fees & Scholarship; Admission & Application; Student Menu Toggle. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] MSc with Data Analytics Specialization. Saw Swee Hock School of Public Health Initially I was excited about this course as I thought the data science field is flourishing and there is nascent demand for data scientists in the industry. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). What is this programme? data science and analytics nus. If you want to do more of a less technical and more 'business-y' business analytics role, however (in-house consulting/project work, liaison between data teams and end-users), a normal degree and a good head for numbers/problem-solving should suffice though. Thanks. Not many companies in Singapore collect this kind of data, most of them are MNCs. These modules will be coded as DSA modules and added to List I. ST3248         Statistical Learning I Data Science and Analytics Programme. tl:dr of data science: u taking massive amounts of data and one way or another, using proven calculations etc etc generate useful patterns, info that can lead to better decision making etc. Also you're right that most people I know in the field are at masters level onwards. Would be great if someone familiar in the industry could shed some light. I work as an ML/statistical data analyst overseas. IT1007 Introduction to Programming with Python and C with a second major in Data Analytics, candidates must satisfy the following: CS1010/CS1010E/CS1010J/CS1010S/CS1010X Programming Methodology, IT1007 Introduction to Programming with Python and C, One additional module from List I or List II †. Older companies also will kiasu and try to use data science to revive themselves. The Data Science Forum holds meetings that focus on hot data science topics, machine learning, and business analytics. 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