Build a data-driven organisation. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. If you want to do full-fledged data science (modelling, machine learning etc.) Minors: Financial Mathematics, Mathematics, Statistics. It's actually not a MUST to have a masters, but it definitely helps because traditional courses don't cover data science. Anyone else also being offered this course? AY2016/17 School of Design & Environment 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. (Hons.) 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 ;). (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. One additional module from List I or List II † (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. At best, most local company may view data science to be a minor and unimportant component in a much larger IT-driven project. Curriculum; Graduating Requirements; Fees & Scholarship; Admission & Application; Student Menu Toggle. Are ML/data scientist/analyst job prospects better overseas than in Singapore? School of Computing I work as an ML/statistical data analyst overseas. Duke-NUS Medical School 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 … Teaching Institutions 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. It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in … 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. 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. This is me speaking as someone who have been in the industry since the late 1990s. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. Operations managers champion efficiency and the competitive strategy. Cumulative Major MCs 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. The GARTNER PEER INSIGHTS Logo is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. 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. 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. D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. ST3240          Multivariate Statistical Analysis NUS Business School; NUS School of Computing; Programme Menu Toggle. is this undergrad degree likely to be attractive in finding a job as a data scientist or statistician? (Hons.) DSA3102 Essential Data Analytics Tools: Convex Optimisation* NUS Mods 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 MA1311 Matrix Algebra 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 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. And as they innovate, more data piles up. 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. B.Sc. Centre for English Language and Communication CS1010/CS1010E/CS1010J/CS1010S/CS1010X Programming Methodology At its current stage, there isn't exactly a data science technique you can just use right out of the box. Degree Programme in Data Science and Analytics . ST3247          Simulation Engineering Science Environmental Engineering Electrical Engineering Industrial & Systems Engineering Materials Science & Engineering Mechanical Engineering Computer Engineering. However, where a module in List I or Lit II requires ST3131 as pre-requisite, the pre-requisite may not be fulfilled by EC3303. Thanks. MA1521 Calculus for Computing Part III: Modules Your degree is worth it's weight if you can do big data analytics of raw data. Would be great if someone familiar in the industry could shed some light. Being able to draw out meaningful insight is even more challenging. AY2018/19 Can you also elaborate on your jobscope? 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. by Dr Lee Yen Teik Through a mix of discussions and experiential exercises, this topic applies scientific methods to translate raw 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. 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. DSA4211      High-Dimensional Statistical Analysis, DSA4212      Optimisation for Large-Scale Data-Driven Inference*, ST3240          Multivariate Statistical Analysis. Bulletin Updates Updated 17 July 2019 . data science and analytics nus. To gain understanding and working knowledge of Data Analytics and Decision Science. But for the large part, most companies do not even know there's such a thing as data science. (Hons.) Module 3: Architectural Viewpoints in Big Data. This is something that I don't think a bachelor's degree alone would sufficiently prepare a student to do. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Institute of Systems Science Module 6: NoSQL Databases for Big Data. 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 understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. Part II: Programmes MA1312 Calculus with Applications NUS Bulletin AY2020/21 MA1507 Advanced Calculus Provost's Welcome Message A roadmap of how to build an internal data science competency in an organisation will be discussed. Data science as it is right now in Singapore (not worldwide), is not an industry of its own. 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. Level 3000 and 4000 (20 – 24 MCs) 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. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). 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. Is there a variety of analytics-related mods in NUS to explore? 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 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. Older companies also will kiasu and try to use data science to revive themselves. 35. Not really looking for definitive answers but perspectives by those who know more about or are experienced in this field. * Students may need to read additional modules outside the second major requirements to satisfy the pre-requisites of these modules. DSA2101 Essential Data Analytics Tools: Data Visualisation Module 1: Introduction to Data Science, Data Engineering and Big Data. * Students who passed EC3303 Econometrics I need not read ST3131. 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 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 other module from List I or List II Faculty of Arts & Social Sciences 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. Faculty of Science 2) Science: Applied Mathematics Applied Mathematics with specialisation in Mathematical Modelling and Data Analytics with a Major in Statistics [120 MCs] B.Sc. Yong Siew Toh Conservatory of Music Yong Loo Lin School of Medicine MA1102R Calculus 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. Honestly, sometimes I don't think this field would ever take off in Singapore. 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. Why study BSc (Hons) Data Science & Analytics at BU? The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. Host Department: Statistics Recently, Julian was ranked 6 th in the Microsoft Data Science Capstone Competition. then a postgrad is definitely useful. Pass Administrative Policies / Procedures This is not a comprehensive subject guide, but rather a selective list of materials that are … Data & Analytics in Life Sciences Forum @IQPC March 9-11, 2015 From what I know, most data scientists have masters in 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. This will in turn help organisations to improve their performance, understand their customers better and identify areas for improvement in the organisations' processes. 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. There's an overload of data and analytics helps to make sense of all this. DATA SCIENCE AND ANALYTICS FAQs . MA3236 Nonlinear Programming* 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. with a second major in Data Analytics, candidates must satisfy the following: (I NSF lol still have 2 years before I enter uni). Education at NUS 1. Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. One module from List I Not many companies in Singapore collect this kind of data, most of them are MNCs. MSc with Data Analytics Specialization. † Applicable only to students who use MA1513 Linear Algebra with Differential Equations (2 MCs) to fulfil the second major requirements. Dates. 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*. Module 5: Distributed File Storage. (Hons.) The Data Science and Analytics (DSA) programme is a multidisciplinary undergraduate degree offered by the Department of 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. Data & Analytics in Life Sciences Forum @IQPC March 9-11, 2015 Boston, Massachusetts. Data Science (not just) Data Analytics • Data Analytics can produce operational insights, but • Data Analytics Data Science! Candidates with degrees from other universities will be considered on a case-by-case basis. There is a substantial shortfall worldwide in data scientists - individuals with expertise in data analytics. The reason why data scientists often have masters is because its not that simple a task, and its somewhat of an emerging field. And, what are some relevant things you would advise that I learn beforehand to have solid foundation before entering the course? 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 It introduces the various tools and techniques used by data science teams today. Bachelor of Science (Honours) with Major in Data Science and Analytics. Press J to jump to the feed. MA3252 Linear and Network Optimisation The reason data science is in demand is because of the move towards automation and software. MA1101R Linear Algebra I 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. 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. Speaker Prof Lim Tiong Wee received his undergraduate education in mathematics and graduate education in statistics at Imperial College London and Stanford University, respectively. Part IV: Archived Bulletins 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. So if IT workers get paid peanuts, data science workers also get paid peanuts. Best i could do was to look out for analytics related module during my time NUS. One of the following modules: AY2015/16. Data Science & Analytics. This course provides an exploratory tour of big data, data analytics, data science, machine learning and artificial intelligence. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] Our educational and outreach programmes aim to raise awareness of the fast-growing data science sector. 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. † Applicable only to students who use MA1513 Linear Algebra with Differential Equations (2 MCs) to fulfil the second major requirements. 2.5 Days . 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). 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. AY2017/18 In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. DSA4211      High-Dimensional Statistical Analysis MSc with Data Analytics Specialization. Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. However, where a module in List I or Lit II requires ST3131 as pre-requisite, the pre-requisite may not be fulfilled by EC3303. Faculty of Engineering 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 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. Which industries or sectors do most of your peers pursue after their studies? ^ (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. One of the following modules: I got offered this new course by NUS. 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