These modules will be coded as DSA modules and added to List I.    MA1512  Differential Equations for Engineering (2 MCs) 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. Strategic Technology Management Institute. The Data Science and Analytics (DSA) programme is a multidisciplinary undergraduate degree offered by the Department of Course Overview. 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. CS1010/CS1010E/CS1010J/CS1010S/CS1010X Programming Methodology Data & Analytics in Life Sciences Forum @IQPC March 9-11, 2015 MA1511 Engineering Calculus (2 MCs) and The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. Pass 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. 2.1 Introduction. We explore analytics and data science across different industries, and seek to have a positive influence in New Zealand. 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. 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. 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. One of the following modules: The NUS-ISS Stackable Certificate Programme in Data Science, leading to the NUS Master of Technology in Enterprise Business Analytics is designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. ^ (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. List II Being able to draw out meaningful insight is even more challenging. School of Computing This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. One module from List I 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. Try to provide me good examples or tutorials links so that I can learn the topic "data science and analytics nus". Prof Sun received his B.Sc. Candidates with degrees from other universities will be considered on a case-by-case basis. To be awarded a B.Sc. * Students who passed EC3303 Econometrics I need not read ST3131. Saw Swee Hock School of Public Health From what I know, most data scientists have masters in analytics. As time goes by and I've pretty much settled down thinking about applications I start to have some concerns: It is hyped pretty much everywhere that data science jobs are facing shortages and there is growing demand, but would it be reasonable to expect this to be sustainable in the long term? NUS Financial Analytics Competition 2014 NUS MSBA students won first prize at CFLD-NUS Business Analytics Innovation Challenge 2017 NUS MSBA provided a deep understanding of the latest advances in AI, Machine Learning and Big Data which are important skills required in my day to day current role to bridge business, digital and data analytics. Graduated(info sys) from NUS 2 years ago before this course was offered. Dates. Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. 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. 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. This course provides an exploratory tour of big data, data analytics, data science, machine learning and artificial intelligence. This is not a comprehensive subject guide, but rather a selective list of materials that are … * Students who passed EC3303 Econometrics I need not read ST3131. Not sure if I should accept and hence I'm here to seek opinions. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. For students matriculated in AY2017/18 and after: B.Sc. The number of course places taken up NUS for AY 2020/2021 is shown in Table 3. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. Duke-NUS Medical School This will in turn help organisations to improve their performance, understand their customers better and identify areas for improvement in the organisations' processes. CS3244          Machine Learning Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. The Data Science Forum holds meetings that focus on hot data science topics, machine learning, and business analytics. Pass Applicants seeking admission in AY2021/2022 can expect competition to be keener for courses with more stringent grade requirements and fewer places. Perhaps, some government ministries are moving that direction with Smart Nation, but I am not really sure. Topics will be taught using practical workshops using software like SPSS Statistics, SPSS Modeller, JMP and Excel. 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. NUS Business School; NUS School of Computing; Programme Menu Toggle. 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. Faculty of Law One module from List II Module 4: The Hadoop Ecosystem for Big Data. Data & Analytics in Life Sciences Forum @IQPC March 9-11, 2015 Boston, Massachusetts. Data Science & Analytics. To gain understanding and working knowledge of Data Analytics and Decision Science. 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. At its current stage, there isn't exactly a data science technique you can just use right out of the box. 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. Speaker Prof Lim Tiong Wee received his undergraduate education in mathematics and graduate education in statistics at Imperial College London and Stanford University, respectively. (Hons.) And, what are some relevant things you would advise that I learn beforehand to have solid foundation before entering the course? Held in Singapore. For many industries, more data and the ability to analyse that data in a scientific manner, provide an opportunity to optimise, innovate, and differentiate for growth and greater efficiency. These modules will be coded as DSA modules and added to List I. 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. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. Also tell me which is the good training courses in Machine Learning, Artificial Intelligence and Data Science for beginners. (Hons.) Levels 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. Engineering Science Environmental Engineering Electrical Engineering Industrial & Systems Engineering Materials Science & Engineering Mechanical Engineering Computer Engineering. 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. However, where a module in List I or Lit II requires ST3131 as pre-requisite, the pre-requisite may not be fulfilled by EC3303. AY2017/18 NUS Business Analytics Centre (BAC) NUS BAC Advisory Board; Master of Science in Business Analytics (MSBA) Affiliated Faculty; Schools Menu Toggle. 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). I did projects in expert systems and neural networks back then as an engineer in an A-STAR institute, worked in two local startups, then took a data science masters. Investigators: Wynne Hsu (PI), Dept. Module 2: Understand Big Data from an Analytics Perspective. 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. then a postgrad is definitely useful. Part II: Programmes MA1311 Matrix Algebra 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 Structure and Analytics. ^ (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. 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 GARTNER PEER INSIGHTS Logo is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. Data Science and Analytics: Main. MSc with Data Analytics Specialization. Pass ST4248         Statistical Learning II Julian Lin is a Senior Lecturer in Cybersecurity and Data Analytics with School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS).He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. DBA3701 Introduction to Optimisation This is me speaking as someone who have been in the industry since the late 1990s. University Scholars Programme But for the large part, most companies do not even know there's such a thing as data science. 1. One additional module from List I or List II † DSA2101 Essential Data Analytics Tools: Data Visualisation Are ML/data scientist/analyst job prospects better overseas than in Singapore? D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. Collecting data is a skill. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] This is something that I don't think a bachelor's degree alone would sufficiently prepare a student to do. (I NSF lol still have 2 years before I enter uni). Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech; Master of Engineering (MEng) Programme; Doctor of Engineering (EngD) Programme; Master of Science (MSc) Students admitted before AY2020/2021 Semester 1 DSA4211      High-Dimensional Statistical Analysis, DSA4212      Optimisation for Large-Scale Data-Driven Inference*, ST3240          Multivariate Statistical Analysis. 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. Part I: General 35. School of Business 10 – 12 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. DSA3102 Essential Data Analytics Tools: Convex Optimisation* It is important to note that the number of course places changes from year to year. :D. Honestly, sometimes I don't think this field would ever take off in Singapore. MA3236 Nonlinear Programming* They are allowed to read and pass an additional module from List I or List II in lieu of ST3131. One of the following modules: NUS Mods with a second major in Data Analytics, candidates must satisfy the following: Build a data-driven organisation. NUS doesn't provide much information regarding the required modules etc. Is there a variety of analytics-related mods in NUS to explore? They are allowed to read and pass an additional module from List I or List II in lieu of ST3131. 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. Centre for English Language and Communication Faculty of Engineering If you can post the link to the course (I'm on mobile, lazy to google), I can have a quick look and tell you whether the course you mentioned covers enough to at least give you the foundation to do my job ;). Part III: Modules 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. Provost's Welcome Message * Students may need to read additional modules outside the second major requirements to satisfy the pre-requisites of these modules. 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. of Computer Science, School of Computing, NUS; Rudy Setiono, Dept. Older companies also will kiasu and try to use data science to revive themselves. About NUS Minors: Financial Mathematics, Mathematics, Statistics. 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. The specific objectives of the SGUS Specialist Diploma in Data Science and Analytics are to provide training in the fundamentals of statistics and programming for data science, ... NUS, NTU, SMU, SUTD, SIT, or SUSS. AY2015/16. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. NUS e-OPEN HOUSE 2020 . 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. 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. MSc with Data Analytics Specialization. Geospatial and 3D urban modelling research group at the National University of Singapore. Applying them on a statistical level is an even harder skill. MA1312 Calculus with Applications Yong Siew Toh Conservatory of Music Anyone else also being offered this course? 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 †. Module 3: Architectural Viewpoints in Big Data. 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. Faculty of Science School of Continuing and Lifelong Education 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. What is this programme? Yale-NUS College (Hons.) Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. 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. AY2018/19 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. 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. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. CS2040 Data Structures and Algorithms Best i could do was to look out for analytics related module during my time NUS. Part IV: Archived Bulletins ST3247          Simulation Academic Calendar (Hons.) Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. To be awarded a B.Sc. Also you're right that most people I know in the field are at masters level onwards. NUS Graduate School for Integrative Sciences and Engineering The scope of this analytics-based capability is constantly expanded by the development of new technologies making the generation, collection, and analysis of data much easier. Established in 2016, the NUS Smart Nation Research Cluster supports and complements Singapore’s Smart Nation Initiative by developing strategic capabilities in data science, analytics and optimisation, artificial intelligence, as well as cybersecurity. data science and analytics nus. Minors: Financial Mathematics, Mathematics, Statistics. Big Data Analytics Technology Students learn to analyse data that cannot fit in the computer’s memory and apply such analysis to web applications. Module 5: Distributed File Storage. While demand for data analysts is at an all-time high, the online community still leaves some to be desired. with a major in Statistics [160 MCs] B.Sc. As many here have said, practically a Masters level certification is a minimum requirement for any data science project. Updated 17 July 2019 . Host Department: Statistics It can be difficult to find good, unbiased online resources and websites dedicated to data professionals. Bachelor of Science (Honours) with Major in Data Science and Analytics. School of Design & Environment Level 3000 and 4000 (20 – 24 MCs) Even if they have heard of it, they don't know what data science is or how to leverage it to increase its own company's value. There's an overload of data and analytics helps to make sense of all this. (2) Students who participate in credit-bearing full-time internships/industrial attachments/professional placements as part of their degree requirements may be approved to double-count up to 8 MCs into List I if their internships/industrial attachments/professional placements have substantial data-analytics content, provided the limit of 16 MCs of double-counting in primary and second major requirements is not exceeded. Learn how to work with Big Data frameworks and develop results into contemporary visual analytics. IDS coordinates and supports data science research initiatives across NUS.The value of the solutions that IDS can provide is through combining the expertise from multiple disciplines to tackle a problem well-roundedly from an all angles. by Dr Lee Yen Teik Through a mix of discussions and experiential exercises, this topic applies scientific methods to translate raw data … I got offered this new course by NUS. 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. Press J to jump to the feed. Degree Programme in Data Science and Analytics . Not really looking for definitive answers but perspectives by those who know more about or are experienced in this field. Level 2000(16  MCs) The National University of Singapore (NUS) today launched the Institute of Data Science (IDS), a new research institute that will be the focal point for all data science research and translation, education and related activities at NUS. MA1102R Calculus (2) Students who participate in credit-bearing full-time internships/industrial attachments/professional placements as part of their degree requirements may be approved to double-count up to 8 MCs into List I if their internships/industrial attachments/professional placements have substantial data-analytics content, provided the limit of 16 MCs of double-counting in primary and second major requirements is not exceeded. If i plan to pursue masters overseas, would overseas universities recognise this degree? 1 Dec & 7 Dec 2020 (9am – 5pm) 10 Dec 2020 (9am – 11am) Duration. * Students may need to read additional modules outside the second major requirements to satisfy the pre-requisites of these modules. 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 … 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. Data Science (not just) Data Analytics • Data Analytics can produce operational insights, but • Data Analytics Data Science! MA1508E Linear Algebra for Engineering 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. List I^ It's actually not a MUST to have a masters, but it definitely helps because traditional courses don't cover data science. Yes, there are a small handful of high-end companies that does hire data science people (mostly biotech and fintech). DSA4211      High-Dimensional Statistical Analysis NUS Bulletin– Essential information that concerns you as a student. 2) Science: Applied Mathematics Applied Mathematics with specialisation in Mathematical Modelling and Data Analytics The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. This is because you not only need to know the data science, you also need to understand the domain you're applying the data science to. Overview of Graduate Programmes; Doctor of Philosophy (PhD) 4 Years in NUS; 2 Years in NUS + 2 Years in China – SUSTech; Master of Engineering (MEng) Programme; Doctor of Engineering (EngD) Programme; Master of Science (MSc) Students admitted before AY2020/2021 Semester 1 It is designed and taught by award-winning academics from NUS Business School and NUS Computing. These modules will be coded as DSA modules and added to List I. One other module from List I or List II In what ways and extent are the things you learnt in your course and modules applicable to what you are currently doing? ^ (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 is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making.

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