What is this programme? DSA2102 Essential Data Analytics Tools: Numerical Computation Data Science and Analytics: Main. Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. We’ve asked our own data analysts to tell us about some of their favorite sites and created this list of must-follow forums, data analytics blogs, and resource centers. They are allowed to read and pass an additional module from List I or List II in lieu of ST3131. Upcoming Classes. List II CS3244          Machine Learning One of the following modules: Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. 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. The GARTNER PEER INSIGHTS Logo is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. It's why data science courses are split into different branches such as computer vision, robotics, computational linguistics, natural language processing, bioinformatics, etc... And each branch has sub-branches, topic models, word sense disambiguation, question answering, various language models, syntatic parsing, semantic understanding, role labelling, etc... What I am trying to say is each domain requires its own set of specialist knowledge. One of the following modules: 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. It can be difficult to find good, unbiased online resources and websites dedicated to data professionals. One additional module from List I or List II † Free and open to all, the interactive summits join professionals and academics together and provide a place for networking and the sharing of ideas and information. 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. If i plan to pursue masters overseas, would overseas universities recognise this degree? ST3248         Statistical Learning I This is me speaking as someone who have been in the industry since the late 1990s. Would be great if someone familiar in the industry could shed some light. Bachelor of Science (Honours) with Major in Data Science and Analytics. Big Data Analytics is no longer a “good to have” feature in any organization’s suite of functions, it has become a “must have” activity. 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. 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. One module from List I Major: Data Science and Analytics Applicable to cohorts: AY 2017/2018 and after 20 MCs Pass 8 MCs – CS1010/—S/—X Programming Methodology 96 MCs – DSA1101 Introduction to Data Science 36 MCs – MA1101R Linear Algebra I 160 MCs – MA1102R Calculus Pass List A — DSA modules Note: The DSA426X series modules 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. Module 4: The Hadoop Ecosystem for Big Data. 1. Being a specialist in a field and knowing how to apply data analytics will be more lucrative than being a data analyst trying to break into any field. 2.1 Introduction. MA1312 Calculus with Applications A roadmap of how to build an internal data science competency in an organisation will be discussed. Minors: Financial Mathematics, Mathematics, Statistics. MA1508E Linear Algebra for Engineering Big Data Analytics Technology Students learn to analyse data that cannot fit in the computer’s memory and apply such analysis to web applications. Data Science and Analytics Programme. NUS Bulletin AY2020/21 Other Multidisciplinary/ Special Programmes Why study BSc (Hons) Data Science & Analytics at BU? 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. DSA4211      High-Dimensional Statistical Analysis Is there a variety of analytics-related mods in NUS to explore? Degree Programme in Data Science and Analytics . (Hons.) And if you've been reading the papers or following this reddit, you'll know that IT here is still seen as liability rather than a value add and IT workers don't get paid as much as their overseas counterpart. Press question mark to learn the rest of the keyboard shortcuts. Working in finance industry now. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. MA1311 Matrix Algebra Data science as it is right now in Singapore (not worldwide), is not an industry of its own. Recently, Julian was ranked 6 th in the Microsoft Data Science Capstone Competition. The Data Science Forum holds meetings that focus on hot data science topics, machine learning, and business analytics. Welcome to the Department of Analytics & Operations (DAO)! To be awarded a B.Sc. 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. The lucrative jobs will not be the ones in which you're doing data analytics tasks. Level 3000 and 4000 (20 – 24 MCs) ^ (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. MA1505 Mathematics I AY2017/18 Older companies also will kiasu and try to use data science to revive themselves. http://www.science.nus.edu.sg/images/LandingPage/Frontpage/Data_Science_Flyer.pdf. The Data Science Forum holds meetings that focus on hot data science topics, machine learning, and business analytics. To gain understanding and working knowledge of Data Analytics and Decision Science. * Students who passed EC3303 Econometrics I need not read ST3131. MA3236 Nonlinear Programming* One of the following modules: It is important to note that the number of course places changes from year to year. 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. 2.5 Days . 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. Try to provide me good examples or tutorials links so that I can learn the topic "data science and analytics nus". One other module from List I or List II Faculty of Arts & Social Sciences I work as an ML/statistical data analyst overseas. It aims to develop professionals with business analytics skills that will meet the growing demands of companies looking to improve their operations through data analytics. 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. CS1010/CS1010E/CS1010J/CS1010S/CS1010X Programming Methodology 1 Dec & 7 Dec 2020 (9am – 5pm) 10 Dec 2020 (9am – 11am) Duration. DBA3701 Introduction to Optimisation Dates. The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. 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. 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. 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 New Zealand Analytics Forum is a community of over 2,000 professionals who apply analytics to solve business problems. D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. ^ (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. DATA SCIENCE AND ANALYTICS FAQs . Data analytics is the science of integrating heterogeneous data from diverse sources, drawing inferences, and making predictions to enable innovation, gain competitive business advantage, and help strategic decision-making. Candidates with degrees from other universities will be considered on a case-by-case basis. 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. There's an overload of data and analytics helps to make sense of all this. Provost's Welcome Message ST3247          Simulation The number of course places taken up NUS for AY 2020/2021 is shown in Table 3. We are a new interdepartmental multidisciplinary research group focusing on urban data analysis, geographic data science, and 3D city modelling at the National University of Singapore (NUS), the #1 university in Asia and world’s #11 (QS 2021).