Singapore Post Ltd.: Recurrent Service Failures. Essentially, part-time study involves spreading a full-time postgraduate course over a longer period of time. Other than offering a rigorous, relevant and rewarding … There are several institutes which are providing numerous handy office skills courses and during this pandemic of Covid-19 when most of the people avoids to go out of their houses. In this program, students learn through a balance of intellectual academic rigor and hands-on application. The NUS BBA Our NUS Bachelor of Business Administration (BBA) is a pre-eminent leadership and management talent programme. Business Analytics has earned a place as one of the core disruptors of the digital age. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] in Business Analytics (MSBA) Jointly designed by two globally ranked schools, NUS Business School and NUS Computing, the NUS Master of Science in Business Analytics (NUS MSBA) Programme is offered by NUS Business Analytics Centre to enable students to solve complex Business Analytics problems in different industries using … He also serves as a Research Scientist and Principal Investigator with the Social and Cognitive Computing Department at the Institute of High Performance Computing, A*STAR Singapore, where he works on social networks and behavioral analytics. Previously, he taught at the University of Michigan. 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. Dr Bhattacharya actively collaborates and consults with leading industry partners from around the world, and regularly presents his research in major computer science, information systems, and marketing conferences worldwide. Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. Solve business problems with intelligent insights. Working with Emeritus gives NUS Business School the advantage of broadening its access beyond their on-campus offerings in a collaborative and engaging format that stays true to the quality of NUS Business School. SGD 2,140 (SGD 242 after MAX Funding) Date. In order to build and implement effective business strategies, you must first identify the analytics-related barriers in your organisation and industry. NUS MSBA Application Checklist - AY2021/2022 Program Description. Upon successful completion of the Programme, participants will be awarded a verified digital certificate by NUS Business School. Operations managers champion efficiency and the competitive strategy. Masters courses considered under this scholarship includes the Master of Science in Business Analytics, Master of Computing in Infocomm Security, and Master of Technology in Software Engineering. Functional Core (8) ACC1701 Accounting for Decision Makers (9) BSP1702 Legal Environment of Business 3-5 Mar 21. 1 programme from Asia based on the QS Business Masters Rankings in Business Analytics. In this guide, we will discuss all you should know about IELTS Examination such as who is required to take it, the IELTS test format, which IELTS score you will need, how the IELTS compares to other tests and much more. 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, Statisti… Applied Artificial Intelligence; Applied Machine Learning School Level. Early bird tuition assistance of USD 150 - Valid until 04, Module 1: Creating Organisational Value Through Data Analytics, Module 4: Inferring Causal Impact of Business Decisions, Module 5: Privacy, Ethics, and Risk in the Data Economy, Business, IT, Data, or Marketing Consultant, Identifying analytics challenges and untapped data sources in your organisation or industry, Articulating differences between causal and predictive analytics, Evaluating and improving your organisation’s analytical maturity and quality, Identifying suitable cause and effect variables and factors that could create biased results, Assessing how measurements, people, and technology can be leveraged to meet organisational goals, Pinpointing pertinent AI risks for your organisation and industry sector regulations relevant to these risks, Identifying accuracy metrics and factors that are vital to predicting specific business outcomes, Evaluating the current data protection infrastructure of your organisation, Evaluating organisational needs for data science personnel and analytics technological infrastructure, Recognising factors that could compromise your organisation’s data integrity or model transparency, Identify strategic, managerial, and/or organisational problems related to analytics in your organisation or industry, Assess your organisation’s level of data analytical maturity, Articulate a plan for generating organisational value through improved analytical maturity, Identify high-value data analytics problems and use cases with your organization, Leverage existing and yet untapped data sources for your organisation, Evaluate your organisation’s data quality, Identify data summaries and visualizations relevant to your organizational needs and/or analytics goals, Identify factors that are important to consider in predicting a given business outcome, Identify the best analytical model to utilize for a given set of key outcomes and predictors, Evaluate most suitable accuracy metrics for your predictive analytics models, Specify ways to improve the accuracy of a model predicting a given business outcome, Evaluate organizational needs for data science personnel and data analytics infrastructure, Articulate differences between causal and predictive analytics, Identify causal analytics problems relevant to your organisation, Identify suitable cause and effect variables as well as confounding factors that could bias results, Learn about key models and methods to infer causal relationships among key business predictors and outcomes, Identify pertinent AI risks for your organisation and regulations in your industry sector relevant to these risks, Evaluate the current data protection infrastructure of your organisation, Identify factors that could compromise your organisation’s data integrity or model transparency, Each week, participants must complete the corresponding module’s application exercise in the Playbook, There will be optional polls, discussions, crowd-sourced activities, try-it exercises, and industry Q&As that participants are encouraged to engage with, Participants must complete 4 out of the 5 weeks of the Business Analytics Playbook in full, in order to receive their certificate. 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