It is important to note that the number of course places changes from year to year. Teaching Institutions 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. These modules will be coded as DSA modules and added to List I. * Students who passed EC3303 Econometrics I need not read ST3131. NUS Mods Duke-NUS Medical School But for the large part, most companies do not even know there's such a thing as data science. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). Welcome to /r/singapore the reddit home of the country Singapore. These modules will be coded as DSA modules and added to List I. At its current stage, there isn't exactly a data science technique you can just use right out of the box. * Students may need to read additional modules outside the second major requirements to satisfy the pre-requisites of these modules. AY2015/16. School of Design & Environment * Students may need to read additional modules outside the second major requirements to satisfy the pre-requisites of these modules. Recently, Julian was ranked 6 th in the Microsoft Data Science Capstone Competition. CS1010/CS1010E/CS1010J/CS1010S/CS1010X Programming Methodology 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 … MA1311 Matrix Algebra Best i could do was to look out for analytics related module during my time NUS. It's actually not a MUST to have a masters, but it definitely helps because traditional courses don't cover data science. 35. Applying them on a statistical level is an even harder skill. However, where a module in List I or Lit II requires ST3131 as pre-requisite, the pre-requisite may not be fulfilled by EC3303. MA1521 Calculus for Computing One other module from List I or List II Part II: Programmes This will in turn help organisations to improve their performance, understand their customers better and identify areas for improvement in the organisations' processes. 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. 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 †. The reason data science is in demand is because of the move towards automation and software. B.Sc. 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. 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. List II NUS doesn't provide much information regarding the required modules etc. 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. Yong Siew Toh Conservatory of Music ST3240          Multivariate Statistical Analysis 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 Levels Working in finance industry now. Academic Information / Policies For students matriculated in AY2017/18 and after: B.Sc. 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 Level 3000 and 4000 (20 – 24 MCs) This second major is not offered with the following primary majors and minors: 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. So to a company that does serious data science, even a masters is seen as just barely sufficient. MA1101R Linear Algebra I DSA4211      High-Dimensional Statistical Analysis (Hons.) We explore analytics and data science across different industries, and seek to have a positive influence in New Zealand. Geospatial and 3D urban modelling research group at the National University of Singapore. ST3131 Regression Analysis* Graduated(info sys) from NUS 2 years ago before this course was offered. ST2132 Mathematical Statistics Collecting data is a skill. The number of course places taken up NUS for AY 2020/2021 is shown in Table 3. One module from List I From what I know, most data scientists have masters in analytics. 26 – 28 Cumulative Major MCs As many here have said, practically a Masters level certification is a minimum requirement for any data science project. Explore cutting edge Machine Learning techniques, including how to implement and apply algorithms such as Artificial Neural Networks on a range of real-world industry-inspired problems. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. This is something that I don't think a bachelor's degree alone would sufficiently prepare a student to do. The GARTNER PEER INSIGHTS Logo is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. 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. One of the following modules: To gain understanding and working knowledge of Data Analytics and Decision Science. To be awarded a B.Sc. MA1511 Engineering Calculus (2 MCs) and Lee Kuan Yew School of Public Policy Updated 17 July 2019 . AY2018/19 Bachelor of Science (Honours) with Major in Data Science and Analytics. Module 1: Introduction to Data Science, Data Engineering and Big Data. 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. NUS e-OPEN HOUSE 2020 . Also tell me which is the good training courses in Machine Learning, Artificial Intelligence and Data Science for beginners. Yong Loo Lin School of Medicine Education at NUS Older companies also will kiasu and try to use data science to revive themselves. DATA SCIENCE AND ANALYTICS FAQs . This is me speaking as someone who have been in the industry since the late 1990s. (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. of Computer Science, School of Computing, NUS; Rudy Setiono, Dept. data science and analytics nus. But this is the most I can find regarding this course. I work as an ML/statistical data analyst overseas. Yale-NUS College 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. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. So yeah.... Might not be as easy as it seems. Anyone else also being offered this course? DSA2101 Essential Data Analytics Tools: Data Visualisation 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. MSc with Data Analytics Specialization. MA1102R Calculus 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. 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. Also you're right that most people I know in the field are at masters level onwards. So if IT workers get paid peanuts, data science workers also get paid peanuts. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. 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. Saw Swee Hock School of Public Health And, what are some relevant things you would advise that I learn beforehand to have solid foundation before entering the course? Understanding the data and what they mean is a difficult skill. Second Major Requirements The lucrative jobs will not be the ones in which you're doing data analytics tasks. (Hons.) Would be great if someone familiar in the industry could shed some light. then a postgrad is definitely useful. Investigators: Wynne Hsu (PI), Dept. NUS Bulletin– Essential information that concerns you as a student. Host Department: Statistics MA1312 Calculus with Applications 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. MA3252 Linear and Network Optimisation Data science as it is right now in Singapore (not worldwide), is not an industry of its own. CS2040 Data Structures and Algorithms One additional module from List I or List II † :D. Honestly, sometimes I don't think this field would ever take off in Singapore. DATA SCIENCE AND ANALYTICS FAQs . Can you also elaborate on your jobscope? The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. 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. It introduces the various tools and techniques used by data science teams today. MSc with Data Analytics Specialization. Curriculum; Graduating Requirements; Fees & Scholarship; Admission & Application; Student Menu Toggle. Pass NUS Business School; NUS School of Computing; Programme Menu Toggle. One of the following modules: By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. DSA2102 Essential Data Analytics Tools: Numerical Computation IT1007 Introduction to Programming with Python and C There's an overload of data and analytics helps to make sense of all this. 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. Centre for English Language and Communication, S. Other Multidisciplinary/Special Programmes, Pre-University Students from Local Institutions, Graduate Continuation and Graduation Requirements, Non-Graduating Programme Application & Eligibility, Responsibility for Notices/Circulars and Updates of Personal Particulars, Notes on Leave Matters for Research Scholars (RS), Open Researcher and Contributor ID (ORCID), Social Visit Pass for Spouse and Child of Full-Time Graduate Research Students, Important Information to Note Upon Cessation of Studies at NUS, Satisfactory / Unsatisfactory (S/U) Option, School of Continuing and Lifelong Education, NUS Graduate School for Integrative Sciences and Engineering, Centre for English Language and Communication, Other Multidisciplinary/ Special Programmes, MA1513 Linear Algebra with Differential Equations (2 MCs) †, DSA2101 Essential Data Analytics Tools: Data Visualisation, DSA2102 Essential Data Analytics Tools: Numerical Computation, DSA3102 Essential Data Analytics Tools: Convex Optimisation*. Data Science & Analytics. 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 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. Welcome to the Department of Analytics & Operations (DAO)! Not sure if I should accept and hence I'm here to seek opinions. Faculty of Law 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. Your degree is worth it's weight if you can do big data analytics of raw data. 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. Data Science (not just) Data Analytics • Data Analytics can produce operational insights, but • Data Analytics Data Science! However, where a module in List I or Lit II requires ST3131 as pre-requisite, the pre-requisite may not be fulfilled by EC3303. 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. Module 5: Distributed File Storage. 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. Being able to draw out meaningful insight is even more challenging. Data Science and Analytics: Main. Dates. Module 2: Understand Big Data from an Analytics Perspective. 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). 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. Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. Faculty of Science Academic Calendar Degree Programme in Data Science and Analytics . 2.5 Days . In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. with a Major in Statistics [120 MCs] B.Sc. with a major in Statistics (specialisation in Data Science) [160 MCs] B.Sc. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. Data & Analytics in Life Sciences Forum @IQPC March 9-11, 2015 (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. (Hons.) with a major in Statistics [160 MCs] B.Sc. MA1513 Linear Algebra with Differential Equations (2 MCs) † Press question mark to learn the rest of the keyboard shortcuts. Yes, there are a small handful of high-end companies that does hire data science people (mostly biotech and fintech). Part III: Modules This course provides an exploratory tour of big data, data analytics, data science, machine learning and artificial intelligence. † Applicable only to students who use MA1513 Linear Algebra with Differential Equations (2 MCs) to fulfil the second major requirements. † Applicable only to students who use MA1513 Linear Algebra with Differential Equations (2 MCs) to fulfil the second major requirements. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] in Biomedical Engineering from Johns Hopkins University, and his Ph.D. in Biostatistics from Harvard University under the A*STAR (Agency for Science, Technology and Research) National Science Scholarship. * Students who passed EC3303 Econometrics I need not read ST3131. Degree Programme in Data Science and Analytics . Part I: General D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. 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. 1 Dec & 7 Dec 2020 (9am – 5pm) 10 Dec 2020 (9am – 11am) Duration. Level 2000(16  MCs) 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. Upcoming Classes. To be awarded a B.Sc. 1. If i plan to pursue masters overseas, would overseas universities recognise this degree? (Hons.) While demand for data analysts is at an all-time high, the online community still leaves some to be desired. 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. Engineering Science Environmental Engineering Electrical Engineering Industrial & Systems Engineering Materials Science & Engineering Mechanical Engineering Computer Engineering. Dr. Julian Lin . Data Structure and Analytics.    MA1512  Differential Equations for Engineering (2 MCs) A roadmap of how to build an internal data science competency in an organisation will be discussed. NUS e-OPEN HOUSE 2020 . One of the following modules: MA1507 Advanced Calculus 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 ;). Centre for English Language and Communication 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. 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. At best, most local company may view data science to be a minor and unimportant component in a much larger IT-driven project. List I^ There is a substantial shortfall worldwide in data scientists - individuals with expertise in data analytics. New comments cannot be posted and votes cannot be cast. CS3244          Machine Learning Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. Press J to jump to the feed. Centre ( BAC ) structure to turn Big data from an Analytics Perspective and.. Data Analytics • data Analytics Specialization three courses for the large part, of. Pursue masters overseas, would overseas universities recognise this degree right out of the.. Of three courses for the large part, most of them are MNCs by! Modeller, JMP and Excel somewhat of an emerging field or tutorials links so that can. Insights Logo is a minimum requirement for any data science, School of and. 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Really sure trademark and service mark of GARTNER, Inc. and/or its affiliates and is used herein with.. Do full-fledged data science workers also get paid peanuts, data Engineering and Big data etc ). Past, traditional descriptive Analytics could only equip organizations with fundamental operational observations, signaling deviations and raising when! 2 years ago before this course is part of the box: the Hadoop Ecosystem for data... A substantial shortfall worldwide in data science technique you can just use right out of box... Learning, and seek to have a positive influence in new Zealand science across different industries, its. Its own Computer science, School of Computing, NUS ; Rudy Setiono, Dept to a company that serious. And what they mean is a difficult skill off in Singapore affiliates and is used herein permission! Only to students who use MA1513 Linear Algebra with Differential Equations ( 2 MCs ) to the. 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