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. CP3209 is an independent study module (ISM) which will be counted as 2 USP Inquiry modules in the Sciences and Technologies domain. ST3131 Regression Analysis 5  Academic Calendar IS4010 Industry Internship Programme). 3. BT4013 Analytics for Capital Market Trading and Investment PROGRAMME REQUIREMENTS IS4228 Information Technologies in Financial Services • BT4222 Mining Web Data for Business Insights CS3244 Machine Learning The emerging phenomena of Big Data – large pools of data sets that can be captured, communicated, aggregated, stored, and analyzed – has presented companies and organisations with trillions of bytes of information about their customers, suppliers, and operations. Modules marked with an asterisk (*) are modules stretching over more than one semester and the total number of MCs will only be given upon completion of the module. – Not all electives modules may be offered in any semester/year. Learning objectives of the Bachelor of Science (Business Analytics) degree programme are: Students with CAP of 4.00 or higher may opt to replace IS4010 Industry Internship Programme by BT4101 B.Sc. List C (Technology Implementation) Admission criteria for the NUS Masters of Science in Business Analytics (MSBA) programme include: An excellent Bachelor's degree with a good honours classification, preferably from Business, Economics, Computing, Mathematics, Engineering, Science of Statistics. New to the curriculum are 3 specialisations – Business Analytics, Innovation & Entrepreneurship, and Business Economics. high and broad understanding of the application of analytics in various industrial domains. Learning objectives of the Bachelor of Science (Business Analytics) degree programme are: Lee Kuan Yew School of Public Policy Faculty of Science  All modules are 4 MCs. Ping Shung was a guest lecturer at NUS Institute of Systems Science and previously held an adjunct position in School of Information Systems, Singapore Management University. • IS4241 Social Media Network Analysis. School of Design & Environment MA1311   Matrix Algebra; or In sum, these elective modules span the most exciting and challenging areas of business analytics practice in the industry today. 1  Students have done EC1101E Introduction to Economic Analysis can use it to replace EC1301. An ability to function effectively in teams to accomplish a common goal. count TR3203 Start-up Case Study and Analysis (8 MCs) partially in lieu of BT4101 BSc Dissertation (8 out of 12 MCs). Objectives. • BT4211 Data-Driven Marketing Students with CAP of 4.00 or higher may opt to replace IS4010 Industry Internship Programme by BT4101 B.Sc. 112 MCs) of the MC requirement for the degree programme may opt to replace the IS4010 Industry Internship Programme by BT4101 (12 MCs). This course prepares students with fundamental theory and basic instruments to capture business insights from data and thus make good managerial decisions. • BT4014 Analytics Driven Design of Adaptive Systems The School of Computing offers a second major in Business Analytics (BZA) for non-SoC students. He is an enthusiastic teacher to advocate the use of Business Analytics in undergraduate business teaching. • IS4302 Blockchain and Distributed Ledger TechnologiesTo be awarded the Marketing Analytics Specialisation, students must satisfy the followings: Choose 6 modules to make up 24 MCs from Lists A, B and C, with at least 2 modules each from Lists A and B. These schools have the top undergraduate business analytics concentrations. • IS3240 Economics of E-Business The BTech (Business Analytics) programme enables students to attain the following learning outcomes by the time of graduation: high and broad understanding of the application of analytics in various industrial domains. List A (Functional): BT4012 Fraud Analytics The use of business analytics for modelling and decisions represents the future of best practices for tomorrow’s success companies. Grand Total Strong knowledge of data analytics foundations and fundamentals, including: familiarity with data analytics and programming principles, and. Industry 4.0 Penultimate NUS undergraduate with a double major in Mathematics, they can replace ST2334 with ST2131. Usp Inquiry modules and 1 USP Foundation module of Writing and Critical Thinking study Schedule ( beginning semester. 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