By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. Data is more readily available in the digital economy. This is a four-year direct honours programme which offers a common two-year broad-based inter-disciplinary curriculum where all students will read modules in Mathematics, Statistics, Economics, Accounting, Marketing, Dec… It i… Applied Artificial Intelligence; Applied Machine Learning IDS is a research institute that will be the focal point for all data science research and translation, education and related activities at NUS, which aims to contribute to Singapore’s Smart Nation initiative by developing deep and strategic capabilities in data science, analytics and optimisation, and cybersecurity. Julian obtained a PhD degree in Information Systems from NUS. During his IT consultancy career, he oversaw the application and infrastructure projects in Amoseas,  Mannesmann Dematic Colby (Sydney), Alcatel (Sydney), and the University of New South Wales (UNSW) Faculty of Commerce and Economics. Developed in partnership with Deloitte, this basic level course is designed to equip you with relevant Excel skills for the purpose of analysing data in business applications. Terms and Conditions apply. SSG Course Code: CRS-N-0047000/ TGS-2020502100 This course run will be conducted on campus, face-to-face. Data Analytics Consulting Centre Block S16, Level 7 6 Science Drive 2 Faculty of Science National University of Singapore Singapore 117546 dacc@nus.edu.sg Business Hours Monday to Thursday: 8.30 am – 6.00 pm Friday: 8.30 am – 5.30 pm MSc in Data Science and Machine Learning (by Coursework) (Prospective Students) Admission Requirements Graduates with Bachelor (Hons) degrees in Quantitative Sciences (e.g. Understanding and using data is increasingly an important part of an executive function. In support of the NUS resilience and growth (R&G) initiative, she also provides training for fresh graduates so that they can continue to learn in the uncertain times of COVID-19. His strong passion in data analytics and data science can be seen through his involvement in data analytics interest groups, being a Co-founder of DataScience.Sg and former Working Committee Chairman of SAS User Group Singapore and Data Ambassador for one of the DataKind SG project. Prior to this, he was the Analytics Practicum Manager of the Master of IT in Business (Analytics) at the Singapore Management University School of Information Systems. Business Analytics. 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. B.Acc, National University of Singapore Ruth is an Associate Professor of Finance who teaches Financial Markets, Financial Management and Corporate Finance. The award of the Executive Certificate in Data Analytics and Data Visualisation requires the successful completion within the maximum candidature of all four one modular-credit (1 MC) courses in the programme with at least a “C” grade in each course. Julian has taught programming and data management for business at UNSW. The objectives of the Specialist Diploma in Data Science (Data Analytics) are to provide training in the fundamentals of statistics and programming for data science, and to provide training on specialised skills in the areas of data mining and applied statistical methods. Data Analytics @ Work. Apply Now Send An ... this basic level course is designed to equip you with relevant Excel skills for the purpose of analysing data in business applications. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. Bachelor of Science (Honours) with Major in Data Science and Analytics. She had provided consulting services to her clients to streamline their business processes and had successfully rolled out numerous company-wide Enterprise Resource Planning (ERP) projects for companies mostly in trading and manufacturing industries. Dr Guo holds a PhD in Marketing from University of Exeter, an MBA from University of Adelaide and a BA in Literature from Beijing Normal University. Moreover, many MBA graduates start their career as consultant / analyst advising the Supply Chain, Marketing, Finance and HR departments on making them more efficient, profitable and customer-centric. Solve business problems with intelligent insights. He has organised / co-organised programming workshops and data hackathon for students. This course provides graduates with fundamental skills in statistics and data mining that are required by jobs in these industries that involve working with data and extracting information that is useful to the business. The corresponding maximum candidature periods are 2-years and 4-years respectively. GST (SSG subsidies available^) 1st run 25 – 27 November 2020 (21 hours) Due on the prevailing COVID-19 environment, classes will be conducted online. The focus of this course is learning Analytics – data based decision making – the art of analysing, making sense out of and strategising from data – whether you are flooded with or when faced with little data. Driven by the need to better connect with citizens and customers and the emergence of Big Data, governments and enterprises are embarking on Business Analytics and Big Data Analytics to derive citizen and customer insights, make fact-based decisions and achieve competitive advantages. DSA5812 Data Analytics: Further Principles and Practice. With the aspiration of bridging the gap between research and practice, Dr Guo pursued her PhD in the UK, where she worked on large-scale research projects with Cambridge University Service Alliance, BAE Systems and China Mobile. His research interests are in the domain of data-driven decision-making and optimization under uncertainty. He was an instructor for the DBS Graduate Associate Programme for 3 years, teaching over 200 Graduate Associates on data analytics and received positive ratings. The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data for business competitiveness. Develop data-driven rigorous solutions to commonly faced marketing problems. Visit. She also holds a Master in Business Administration in Strategic Management from the Nanyang Technological University and had obtained a Certificate in Teaching & Learning (Higher Education). Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. In this program, students learn through a balance of intellectual academic rigor and hands-on application. For more information, visit, Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at, Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit-, NTUC Training Fund (SEPs) – All self-employed (i.e. This course aims to equip participants with a […] 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. 9am - 5.30pm Venue. Edmund holds a PhD in Environmental Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. Ping Shung was a facilitator for the IDA Data Science MOOC programme for 2 cohorts (over 300 professionals) and participated in Singapore's first Data Literacy Bootcamp which was co-organised by the IDA Singapore and The World Bank. Held in Singapore. GC stands for Graduate Certificate . The age of the fourth industrial revolution has seen the explosion of data, with a mind-boggling 2.5 quintillion bytes of data created each day at our current pace. Dr Guo teaches executive programmes of Data Analytics and Design Thinking at NUS. She taught modules in Business Analytics, Data Visualization, Website Design, Business Software, Statistical Methods and Calculus. Teaching Excellence Award. Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. from National University of Singapore. He Dr Lek Hsiang Hui currentlyteaches courses in undergraduate Requirements Analysis and Design, Data Mining, and Business Analytics at the School of Computing, National University of Singapore. He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance. Dr Guo returned to Singapore and joined NUS as a faculty member in 2011. Data analytics will help organisations gain greater insights of their businesses to make better informed decisions and take actions. Predict customer behaviour with analytics. Business Analysts, Customer Service Managers, Physiotherapists, Procurement Officers, HR Executives and any professionals, managers and executives. He teaches courses on engineering, statistical methods, data science and analytics. About the Course. NTUC members enjoy 50% of the unfunded course fee support for up to $250 each year for courses supported under UTAP (Union Training Assistance Programme). Course Fees. BMA5002 Analytics for Manager Fact-based decisions supported by timely data analyses are the norm in this “Big Data” era. B.Acc, National University of Singapore Ruth is an Associate Professor of Finance who teaches Financial Markets, Financial Management and Corporate Finance. This course provides an exploratory tour of big data, data analytics, data science, machine learning and artificial intelligence. Offered by NUS’ … Click. Become an Excel power user and increase your job efficiency by equipping yourself with emerging data analysis skills in an increasingly digitalised workplace. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. This course aims to equip participants with a […] SSG Course Code CRS-N-0051502 Level Intermediate Requirements Bachelor’s Degree in Science, Technology, Engineering or Mathematics (STEM) Course Fees SGD3,049.50 incl. Basic Data Analytics taught with a simple but powerful graphical user interface (“GUI”) drag-and-drop tool targeted at business analysts requiring more sophisticated capabilities than what a spreadsheet can offer. IDS is a research institute that will be the focal point for all data science research and translation, education and related activities at NUS, which aims to contribute to Singapore’s Smart Nation initiative by developing deep and strategic capabilities in data science, analytics and optimisation, and cybersecurity. NUS Business. 3-5 Mar 21. TGS-2020506065 (Classroom Learning) Course Objectives. Data Science & Analytics. It delivers the most complete range of analytical solutions, using simple to advanced statistical techniques, predictive analytics and data mining technology to help organisations turn data into business insights.

On 21 March 2007, SUSS and SPSS signed an MOU to promote training and continuing education in Business Analytics. NUS MSBA Application Checklist - AY2021/2022 Program Description. She was the Chief Representative in China for a Singapore listed company. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. Edmund Low is a lecturer with the University Scholars Programme (USP) at the National University of Singapore. This five-day programme empowers you with the skills and confidence to tackle data-driven opportunities and accelerate data-analysis transformation in your organisation. Starting her career in Singapore as a marketing practitioner, Dr Guo worked across manufacturing, entertainment and education industries. Course Code: CRS-N-0047946/ TGS-2020507036 In view of the current Covid-19 situation, the upcoming course run will be held online. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. Retaining key people. Basic Data Analytics taught with a simple but powerful graphical user interface (“GUI”) drag-and-drop tool targeted at business analysts requiring more sophisticated capabilities than what a spreadsheet can offer. His research interest lies in how data science can help organisations and businesses to be more efficient and effective. Xiong Peng is currently a Lecturer in the Department of Analytics & Operations, NUS Business School. 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). At NUS, he had mentored student software development projects and taught visual communications, designing new media content, and research methods. The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. Managers have to lead their organisations by setting the direction and the strategies on how data analytics can be applied in the various parts of the organisation to harness value from the data. Orange has a point-click-drag-and-drop GUI, no programming is required. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. This 5-day course helps data engineers focus on essential design and architecture while building a data lake and relevant processing platform. The use of business analytics for modelling and decisions represents the future of best practices for tomorrow’s success companies. MTM5004 Maritime Data Analytics This module is a continuation of IE5005 where knowledge learnt about data analytics is applied to tackle maritime-related problems. Data Science & Artificial Intelligence for Senior Executives, MSc in Pharmaceutical Science & Technology, SGUS: Construction / Facilities Management, Data Analytics & Visualisation for IT Managers, Data Analytics and Visualization for Managers, Data Technology and Management for IT Professionals, Future-proof Businesses with Artificial Intelligence, Octave Programming for AI, Machine Learning and Data Analytics, Capstone Project: Developing a Data Analytics Model, Data Analytics Deployment & Performance Monitoring. Build a data-driven organisation. Teaching has always been her passion and Data Analytics is her new area of interest. Through lectures, case studies and discussions, you will gain real-world insights on various applications of big data analytics and machine learning, and how they can be used to fuel better decision-making within the context of your own … He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes. has received both the USP Teaching Excellence Award, as well as the NUS Annual Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. She has been awarded the NUS Annual Teaching Excellence Award and was placed on the Honour Roll for her commitment and performance in teaching. National University of Singapore –B.Sc. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0; Chatbot Development Begins With Me; Data Analytics Begins With Me; Data Visualization Begins With Me; Quantitative Data Reasoning Bootcamp; Data Analytics Intermediate Courses . He has been conducting text-analytics research since 2010 and teaching  visualization since 2007. Course Objectives. We will cover basic concepts of data analysis, processing of data, and visualisation of raw data and processed data to gain insights, followed by building simple models for classification and prediction. Undergraduate Programmes in NUS NUS is a comprehensive university offering our students a diverse spectrum of courses and enriching them through our multidisciplinary and cross-faculty approaches. NUS BAC offers the Master of Science in Business Analytics programme, develops business analytics professionals and collaborate with industry partners to meet the needs of companies across various industries actively seeking for talent who excel in the analytics field. Bee Luan is a passionate educator with more than 14 years of teaching experience in an institute of higher learning. Prior to teaching, Bee Luan began her career in the IT industry in multiple roles, from project management to IT consulting in both MNC and SME companies. 4-year honours degree; Collaboration between the Faculty of Science and the School of Computing; Within the Faculty of Science, jointly offered by the Department of Statistics and Applied Probability and Department of Mathematics Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. SGD 3,210 (SGD 363 after MAX Funding) Date. NUS SCALE Data Analytics Courses. Data Analytics Basic Courses . This course provides the participant with the knowledge and skills to participate in the organisation’s data analytics process without any coding requirements. Participants will learn to apply key practices, identify multiple data sources appraised against their business value, design the right storage, and implement proper access … The NUS Master of Science in Business Analytics (NUS MSBA) program is jointly offered and designed by two globally ranked schools, NUS Business School and NUS Computing. Koo Ping Shung is an experienced Data Scientist with more than 13 years of relevant experience. Basic Course Objectives. Course Objectives. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). Use R independently to explore data for better decision making. TGS-2020501963 (Synchronous e-Learning). She has a passion for engaging and inspiring working professionals at all levels by applying the theory to real world business applications. Course Reference No: This course introduces intermediate concepts and tools in analytics, building on the foundation gained in Data Analytics: Principles and Practice for problem formulation and problem-solving using data. This course prepares students with fundamental theory and basic instruments to capture business insights from data and thus make good managerial decisions. It focuses on the computational fundamentals and principles that underlie intelligent systems (knowledge representations, machine learning and reasoning), as well as state-of-the-art technologies in major AI application domains (vision, speech & language processing, data analytics, and robotics). He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. No programming experience required. 4-year honours degree. Undergraduate Programmes in NUS NUS is a comprehensive university offering our students a diverse spectrum of courses and enriching them through our multidisciplinary and cross-faculty approaches. He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. At the end of the course, participants would be able to: Experienced with using Excel in manipulating data, charting and basic analysis. The concepts and coaching covered during the course are relevant to all functions relying on accurate, timely, and insightful data reporting. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. He has more than 13 years of academic and Prior to joining NUS Business School, he was a research staff at Texas A&M University. 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. The Master of Science in Business Analytics (MSBA) can be taken either as a 1-year (13-month) intensive full-time programme or a 2-year part-time programme. Understanding and using data is increasingly an important part of … Accordingly, a Business Analytics degree from NUS will provide you with the skills and expertise needed to build a career in today's fastest-growing and most exciting profession. 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. Moreover, many MBA graduates start their career as consultant / analyst advising the Supply Chain, Marketing, Finance and HR departments on making them more efficient, profitable and customer-centric. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional consulting project. SSG Course Code CRS-N-0051502 Level Intermediate Requirements Bachelor’s Degree in Science, Technology, Engineering or Mathematics (STEM) Course Fees SGD3,049.50 incl. Course Objectives. This course will focus on how to measure and improve the Human capital of an organization. The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development. She has been awarded the NUS Annual Teaching Excellence Award and was placed on the Honour Roll for her commitment and performance in teaching. She consults local and overseas corporate clients on data analytics, user experience design and service innovation. To date, he has conducted over 1,600 man-hours of data science training. 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. 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. She has particular experience in tackling complex challenges through applied research and education. A roadmap of how to build an internal data science competency in an organisation will be discussed. 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