ST3248         Statistical Learning I 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. Faculty of Law MSc with Data Analytics Specialization. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. Prof Sun received his B.Sc. To be awarded a B.Sc. ^ (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 number of course places taken up NUS for AY 2020/2021 is shown in Table 3. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. Pass The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Cumulative Major MCs Applying them on a statistical level is an even harder skill. ST2131/MA2216 Probability :D. Honestly, sometimes I don't think this field would ever take off in Singapore. 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. The Data Science Forum holds meetings that focus on hot data science topics, machine learning, and business 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. Academic Information / Policies Strategic Technology Management Institute. CS3244          Machine Learning Data & Analytics in Life Sciences Forum @IQPC March 9-11, 2015 Boston, Massachusetts. For students matriculated in AY2017/18 and after: B.Sc. Engineering Science Environmental Engineering Electrical Engineering Industrial & Systems Engineering Materials Science & Engineering Mechanical Engineering Computer Engineering. The Data Science Forum holds meetings that focus on hot data science topics, machine learning, and business analytics. Part IV: Archived Bulletins But for the large part, most companies do not even know there's such a thing as data science. This is me speaking as someone who have been in the industry since the late 1990s. To gain understanding and working knowledge of Data Analytics and Decision Science. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. To be awarded a B.Sc. MA1521 Calculus for Computing Level 1000(10 – 12 MCs) Level 2000(16  MCs) Centre for English Language and Communication NUS e-OPEN HOUSE 2020 . So to a company that does serious data science, even a masters is seen as just barely sufficient. And, what are some relevant things you would advise that I learn beforehand to have solid foundation before entering the course? This is something that I don't think a bachelor's degree alone would sufficiently prepare a student to do. School of Computing NUS Business School; NUS School of Computing; Programme Menu Toggle. Data Science (not just) Data Analytics • Data Analytics can produce operational insights, but • Data Analytics Data Science! 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. List I^ Our educational and outreach programmes aim to raise awareness of the fast-growing data science sector. 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. NUS Mods Bulletin Updates They are allowed to read and pass an additional module from List I or List II in lieu of ST3131. The reason why data scientists often have masters is because its not that simple a task, and its somewhat of an emerging field. data science and analytics nus. (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. ST4248         Statistical Learning II Welcome to /r/singapore the reddit home of the country Singapore. Module 2: Understand Big Data from an Analytics Perspective. It's actually not a MUST to have a masters, but it definitely helps because traditional courses don't cover data science. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. Data science as it is right now in Singapore (not worldwide), is not an industry of its own. One additional module from List I or List II † 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. (Hons.) Held in Singapore. One of the following modules: by Dr Lee Yen Teik Through a mix of discussions and experiential exercises, this topic applies scientific methods to translate raw data … 10 – 12 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. Level 3000 and 4000 (20 – 24 MCs) * Students may need to read additional modules outside the second major requirements to satisfy the pre-requisites of these modules. I got offered this new course by NUS. As many here have said, practically a Masters level certification is a minimum requirement for any data science project. of Computer Science, School of Computing, NUS; Janice Lee Mong Li, Dept. Perhaps, some government ministries are moving that direction with Smart Nation, but I am not really sure. This second major is not offered with the following primary majors and minors: ^ (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. At its current stage, there isn't exactly a data science technique you can just use right out of the box. Academic Calendar Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. Venkat N. Gudivada, in Data Analytics for Intelligent Transportation Systems, 2017. IT1007 Introduction to Programming with Python and C The reason data science is in demand is because of the move towards automation and software. 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 Being able to draw out meaningful insight is even more challenging. (Hons.) While demand for data analysts is at an all-time high, the online community still leaves some to be desired. Faculty of Science Module 3: Architectural Viewpoints in Big Data. * Students who passed EC3303 Econometrics I need not read ST3131. 2.5 Days . One of the following modules: DBA3701 Introduction to Optimisation School of Continuing and Lifelong Education Anyone else also being offered this course? It prepares students with a distinctive set of interdisciplinary skills for Data Science careers in … Faculty of Dentistry This will in turn help organisations to improve their performance, understand their customers better and identify areas for improvement in the organisations' processes. Understanding the data and what they mean is a difficult skill. Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. And as they innovate, more data piles up. Degree Programme in Data Science and Analytics . 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 It introduces the various tools and techniques used by data science teams today. with a second major in Data Analytics, candidates must satisfy the following: MA1508E Linear Algebra for Engineering 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. However, where a module in List I or Lit II requires ST3131 as pre-requisite, the pre-requisite may not be fulfilled by EC3303. DSA4212      Optimisation for Large-Scale Data-Driven Inference* Minors: Financial Mathematics, Mathematics, Statistics. † Applicable only to students who use MA1513 Linear Algebra with Differential Equations (2 MCs) to fulfil the second major requirements. 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. Updated 17 July 2019 . University Scholars Programme Host Department: Statistics Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. 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. Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. is this undergrad degree likely to be attractive in finding a job as a data scientist or statistician? 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. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. NUS doesn't provide much information regarding the required modules etc. They are allowed to read and pass an additional module from List I or List II in lieu of ST3131. 2) Science: Applied Mathematics Applied Mathematics with specialisation in Mathematical Modelling and Data Analytics D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. 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. CS2040 Data Structures and Algorithms One of the following modules: 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. Try to provide me good examples or tutorials links so that I can learn the topic "data science and analytics nus". 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