(Hons.) • BT4222 Mining Web Data for Business Insights, Elective modules (select any 3 modules): The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. An ability to function effectively in teams to accomplish a common goal. 2. • BT4221 Big Data Techniques and Technologies 1  Students have done EC1101E Introduction to Economic Analysis can use it to replace EC1301. • BT4016 Risk Analytics for Financial Services 4 Under the new Bachelor of Business Administration (BBA) 2017 programme, students are enrolled directly into an Honours programme. count TR3201 Entrepreneurship Practicum (8 MCs) partially in lieu BT4101 BSc Dissertation (4 out of 12 MCs) and replace one Business Analytics programme elective at level-3000 (4 MCs). School of Business BT4103 Business Analytics Capstone Project Compulsory modules (do all 3 modules): • IS4234 Compliance and Regulation Technology Methodological elective modules include those related to big data techniques, statistics, text mining, data mining, social network analysis, econometrics, forecasting, operations research, etc. To appreciate and understand current business analytics problems in the industry worldwide and be able to identify and resolve practically relevant business analytics questions and issues He is an enthusiastic teacher to advocate the use of Business Analytics in undergraduate business teaching. 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. A team of four Master of Science in Business Analytics (MSBA) students and two undergraduate NUS Computing exchange students won the first runners up prize at the Chengdu 80 Financial Technology (FinTech) competition held from 28 October to 3 November in Chengdu, China. BSE4711 Econometrics for Business II 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. The number of Modular Credits (MC) of a module is denoted by the number in the bracket. 24 Functional elective modules span business functions or sectors of marketing, retailing, logistics, healthcare, etc. NUS Business School was established in 2002, although its history dates back to 1961, when Business Administration was first taught as a subject in the Department of Economics in NUS. These schools have the top undergraduate business analytics concentrations. Students under the NUS co-operative education programme will need to take BT4011 Business Analytics Capstone Industry Project rather than BT4101. NUS Business Analytics Centre (BAC) 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 … UNIVERSITY LEVEL REQUIREMENTS An understanding of professional, ethical, legal, security, and social issues and responsibilities of analytics professionals. 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. AY2017/18 Students are required to complete 160 Modular Credits (MCs) to graduate. with a major in Statistics (specialisation in Finance and Business Statistics) [160 MCs] B.Sc. Note that the BT4101 project selection process takes place one semester ahead of the semester in which the students commence BT4101. It is replaced by USP Foundation module of Writing and Critical Thinking. 6 Students can choose to take on any current 12 MCs or more internship-related programmes within the School of Computing (e.g., CP3880 Advanced Technology Attachment Programme (ATAP)) and/or within NUS (e.g., TR3203 Start-up Internship Programme from the NUS Overseas College (NOC) programme in place of IS4010 Industry Internship Programme to satisfy the industry experience requirement. BT4014 Analytics Driven Design of Adaptive Systems 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, NUS Graduate School for Integrative Sciences and Engineering, Centre for English Language and Communication, Other Multidisciplinary/ Special Programmes, TIC1001 Introduction to Computing and Programming I (4)                        TIC1101 Professional, Ethical and Social Issues in Computing (4), TBA2102 Introduction to Business Analytics (4), TIC2001 Data Structures and Algorithms (4), TBA2105 Web Mining (4)                                                                                      TBA3241 Social Media Analytics (4). Centre for English Language and Communication ST4245 Statistical Methods for Finance IS4241 Social Media Network Analysis The NUS Bachelor of Technology (BTech) programme is specially designed for polytechnic graduates working in the industry and taught by highly-qualified faculty members in advanced teaching facilities at NUS. 2. The objectives for the Second Major in BZA are as follows: To provide a business analytics programme within NUS for non-computing students who are not studying business analytics and equivalent as the first major; List C (Technology Implementation) For students taking the Second Major in Mathematics, they can replace ST2334 with both ST2131 and ST2132 to meet first major requirement. 4 A team of four Master of Science in Business Analytics (MSBA) students and two undergraduate NUS Computing exchange students won the first runners up prize at the Chengdu 80 Financial Technology (FinTech) competition held from 28 October to 3 November in Chengdu, China. CS1010S Programming Methodology Duke-NUS Medical School School of Design & Environment Lee Kuan Yew School of Public Policy IS4228 Information Technologies in Financial Services To understand the conceptual and methodological foundations of analytical methods and techniques for business analytics, as referenced from disciplines such as computing, engineering, science, mathematics, statistics, business and economics • BT4221 Big Data Techniques and Technologies Alternatively, students may take General Education modules in the evenings in other Semesters or Special Terms. Yong Siew Toh Conservatory of Music 8 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. The number of Modular Credits (MC) of a module is denoted by the number in the bracket. Comply with the requirement that the limit on the number of Level-1000 modules to be counted towards fulfillment of graduation requirements being 60 MCs (including exemption of 20 MCs for polytechnic diploma holders); and. 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. Modules marked with (^) are for students who are able to attend day classes for General Education modules only. Asking Questions (module with prefix GEQ), Quantitative Reasoning (module with prefix GER), Singapore Studies (module with prefix GES), Thinking and Expression (module with prefix GET), TIC1001 Introduction to Computing and Programming I, TIC1002 Introduction to Computing and Programming II, TIC1101 Professional, Ethical and Social Issues in Computing, TIC2901 Communication for Computing Professionals, TBA2101 Building an Analytics Organisation, TBA2102 Introduction to Business Analytics, TIC4902 Capstone Computing Project (12MCs). IS3221 Enterprise Resource Planning Systems They will read GER1000 Quantitative Reasoning (4 MCs) as compulsory module for the University Level Requirements (ULR).  All modules are 4 MCs. IS4010 Industry Internship Programme). • BT4222 Mining Web Data for Business Insights IE4210 Operations Research II Table 7: Summary of degree requirements for Bachelor of Science (Business Analytics) Students may be admitted to the DDP in one of the following ways, if they meet the requirements of both the NUS School of Computing (SOC) and NUS Business School (BIZ): from AY2020/2021 Semester 1 admission onwards. MCs Yong Loo Lin School of Medicine • BT4212 Search Engine Optimization and Analytics Currently, Eli is one of the core course instructors offering Python programming at NUS Business School. The School of Computing offers a second major in Business Analytics (BZA) for non-SoC students. Students with CAP of 4.00 or higher after completing at least 70% (i.e. I am most comfortable with SMU MITB style of teaching as I was formerly an undergraduate student in SMU. Faculty of Dentistry IS3103 Information Systems Leadership and Communication AY2015/16. • BT4014 Analytics Driven Design of Adaptive Systems They will not be required to read IS2101 Business and Technical Communication in the Core modules requirement. University Scholars Programme 4 • IS4302 Blockchain and Distributed Ledger TechnologiesTo be awarded the Marketing Analytics Specialisation, students must satisfy the followings: 72 BT4222 Mining Web Data for Business Insights Should I choose NUS Business Analytics or SMU MITB? 20 They will read the remaining USP requirements under Unrestricted Electives. 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. One sample study schedule is shown below. DBA3712 Dynamic Pricing and Revenue Management University Scholars Programme (Business Analytics) BT4015 Geospatial Analytics 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. In sum, these elective modules span the most exciting and challenging areas of business analytics practice in the industry today. 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. Objective 1. An elective module may not be offered if there is insufficient number of students opting for that module at any particular time. totals Academic Information / Policies 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. – At least 3 out of 5 modules must be at level 4000. Learning objectives of the Bachelor of Science (Business Analytics) degree programme are: Students who aim for Honours (Highest Distinction) must pass the BT4101. Penultimate NUS Undergraduate with a double major in Business Analytics and Finance. • BT4211 Data-Driven Marketing Big data is now part of every industry sector and function of the global economy. Specialisations:To be awarded the Financial Analytics Specialisation, students must satisfy the followings: The use of business analytics for modelling and decisions represents the future of best practices for tomorrow’s success companies. The fintech design and development competition was organised as part of the annual conference jointly hosted by the Southwestern University of Finance … IS2101 Business and Technical Communication ST2334 Probability and Statistics 3 Given below is a timeline of the school's history Upon completion of the NUS MSBA, the students would be able to understand, formulate and use relevant data science techniques and tools to resolve complex business analytics problems in various industries such as finance, retail, information technology, supply chain, healthcare etc.. and graduate with a skill that is highly sought after locally and internationally. List A (Functional): • BT4012 Fraud Analytics Business analytics explores how to use data to help organizations make better decisions. BT4014 Analytics Driven Design of Adaptive Systems IS3261 Mobile Solutions Design and Development 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. 25 November 2020 – A team of five Master of Science in Business Analytics (MSBA) students and one Computer Science undergraduate won first place at the Chengdu 80 Financial Technology (FinTech) competition this year.. • IS3240 Economics of E-Business IS4302 Blockchain and Distributed Ledger Technologies, Specialisations:To be awarded the Financial Analytics Specialisation, students must satisfy the followings: 4 They will read  CP3209 Undergraduate Research Project in Computing (8 MCs) in place of the Business Analytics Capstone Project module (BT4103) in the Core modules requirement. D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. In sum, these elective modules span the most exciting and challenging areas of business analytics practice in the industry today. The discipline of business analytics (BA) enables companies and organisations to realise the full potential of data generated from various business processes, sources and devices, thus improving their speed and effectiveness in generating business insights and intelligence for optimal decision making purposes. Clear recognition of the need for and an ability to engage in continuing professional development. For students who are admitted into BBA or BSc Business Analytics programme from AY2019/2020 onwards. IS4228 Information Technologies in Financial Services For more than 50 years, NUS Business School has offered a rigorous, relevant and rewarding business education to outstanding students from across the world. 1. 1  Students have done EC1101E Introduction to Economic Analysis can use it to replace EC1301. 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. Note that the BT4101 project selection process takes place one semester ahead of the semester in which the students commence BT4101. Compulsory modules (do all 3 modules): 3. This course prepares students with fundamental theory and basic instruments to capture business insights from data and thus make good managerial decisions. Eli Yi-liang Tung is a Lecturer in the Department of Analytics and Operations at National University of Singapore (NUS). Students with CAP of 4.00 or higher after completing at least 70% (i.e. Administrative Policies / Procedures 4 It is increasingly the case that modern economic activity, innovation, and growth have to take place with data and the related analytic processes, methods and outputs. Option 1: ST3131 Regression Analysis 5  NUS Graduate School for Integrative Sciences and Engineering An ability to analyse the local and global impact of data analytics on individuals, organisations and society. Students in their third and fourth years of study may choose elective modules from two lists of either functional or methodological elective modules. All modules are 4MCs, except when otherwise stated. Our Marketing Analytics & Insights (MAI) programme is designed to be relevant to the world of big data and analytics. EC1301 Principles of Economics1 Note: 20 MCs will normally be given as Advanced Placement Credits to holders of diploma or higher qualifications. It is replaced by USP Foundation module of Writing and Critical Thinking. MKT1705X Principles of Marketing • BT4013 Analytics for Capital Market Trading and Investment BT1101 Introduction to Business Analytics Sub IS4241 Social Media Network Analysis Students in their third and fourth years of study may choose elective modules from two lists of either functional or methodological elective modules. NUS Mods University Scholars Seminar). Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. • IS4302 Blockchain and Distributed Ledger TechnologiesTo be awarded the Marketing Analytics Specialisation, students must satisfy the followings: They will read  CP3209 Undergraduate Research Project in Computing (8 MCs) in place of the Business Analytics Capstone Project module (BT4103) in the Core modules requirement. BT4212 Search Engine Optimization and Analytics 5 Students who are doing or contemplating to do minor/second major requiring ST3131 such as Statistics which has more than allowed overlap cannot double count ST3131 towards fulfilling the BSc (BA) programme elective requirement. This assumes the students’ work and other commitments allow them sufficient time to properly cope with their studies. Part III: Modules Core Modules 5 of 6 modules must be at level-4000. BT4221 Big Data Techniques and Technologies Either University Scholars Seminar). A good undergraduate degree in any discipline. Bachelor of Science in Business Analytics, D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. • IS4241 Social Media Network Analysis. They will read GER1000 Quantitative Reasoning (4 MCs) as compulsory module for the University Level Requirements (ULR). The remaining 16 MCs in ULR are replaced by the 3 USP Inquiry Modules and 1 USP Foundation module ( i.e. There is only one intake per academic year in Semester 1 (i.e. History. count TR3202 Start-up Internship Programme (12 MCs) towards Industrial Experience Requirement (i.e. NUS Bulletin AY2020/21 Bulletin Updates To cultivate the practices of independent and group learning on the part of students that will prepare them to function effectively for diverse careers in business analytics Methodological elective modules include those related to big data techniques, statistics, text mining, data mining, social network analysis, econometrics, forecasting, operations research, etc. 2  Students are encouraged to take these MA module options should they wish to pursue a more rigorous treatment of the subject topics covered. DBA3803 Predictive Analytics in Business AY2016/17 4 Strong knowledge of data analytics foundations and fundamentals, including: familiarity with data analytics and programming principles, and. Activity 3  For students taking Second Major in Statistics, they can replace ST2334 with ST2131 to meet first major requirement. Students under the NUS co-operative education programme will need to take BT4011 Business Analytics Capstone Industry Project rather than BT4101. IS3240 Digital Platform Strategy and Architecture 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. 112 MCs) of the MC requirement for the degree programme may opt to replace the IS4010 Industry Internship Programme by BT4101 (12 MCs). NUS Overseas Colleges (NOC) – Business Analytics Read more Undergraduate Majors & Minors for Non-Business Students: Cohort 2017 and After Cohort 2016 and Before Double Degree BBAs BBA + Business Analytics BBA + Comms & New Media BBA + Computing BBA + Economics BBA […] It's open to current and recent design engineering students, and is run by the James Dyson Foundation, James Dyson’s charitable trust, as part of its mission to get young people excited about design engineering. BT3102 Computational Methods for Business Analytics 2  Students are encouraged to take these MA module options should they wish to pursue a more rigorous treatment of the subject topics covered. 4 The BTech (Business Analytics) programme enables students to attain the following learning outcomes by the time of graduation: Candidates must satisfy the following requirements to be conferred the degree of BTech (Business Analytics): List of modules – BTech (Business Analytics), comprise: 4 Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module. Provost's Welcome Message Grand Total 32 BT4016 Risk Analytics for Financial Services Faculty of Law They will not be required to read IS2101 Business and Technical Communication in the Core modules requirement. Modules • BT4222 Mining Web Data for Business Insights IE3120 Manufacturing Logistics count TR3203 Start-up Case Study and Analysis (8 MCs) partially in lieu of BT4101 BSc Dissertation (8 out of 12 MCs). For the double degree NUS MSc in Marketing Analytics and Insights + CEMS MIM programme: A good undergraduate degree in business or a business-related discipline. For students taking the minor in Mathematics, they can replace ST2334 with ST2131 and take ST2132 as an unrestricted elective to meet first major requirement. 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… The Business Times China clampdown on Ant Group could distract it from overseas expansion Assoc Prof Lawrence Loh (Director, CGIO) discusses the implications of China’s scrutiny on its tech giants. The discipline of business analytics (BA) enables companies and organisations to realise the full potential of data generated from various business processes, sources and devices, thus improving their speed and effectiveness in generating business insights and intelligence for optimal decision making purposes. 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. Thus the students can tentatively select BT4101 projects; but the condition “CAP of 4.00 or higher after completing at least 70% (112 MCs) of the MC requirement for the degree programme” must be satisfied before they can commence BT4101 in lieu of IS4010. The National University of Singapore Business Analytics Centre (NUS BAC) is located in Singapore, the regional hub and a perfect stepping stone to Asia. • IS4228 Information Technologies in Financial Services BT4013 Analytics for Capital Market Trading and Investment About NUS The style is exactly the same with 15 weeks of lessons and a recess week in the middle of the term. 3.3.1 Bachelor of Technology (Business Analytics) The BTech (Business Analytics) programme is offered in partnership with the School of Computing. Students may pursue either a double honours or a single honours programme. To apply appropriate analytic tools and techniques to resolve complex business analytics problems in various industry sectors and domains BT3103 Application Systems Development for Business Analytics Thus the students can tentatively select BT4101 projects; but the condition “CAP of 4.00 or higher after completing at least 70% (112 MCs) of the MC requirement for the degree programme” must be satisfied before they can commence BT4101 in lieu of IS4010. School of Computing Programme Electives (PE) 160 B.Sc. 4 The NUS BBA Our NUS Bachelor of Business Administration (BBA) is a pre-eminent leadership and management talent programme. August). BT4101 BSc Dissertation or IS4010 Industry Internship Programme 6 BT2102 Data Management and Visualisation • BT4015 Geospatial Analytics Objectives. • IS4234 Compliance and Regulation Technology Academic Calendar Data Analytics Basic Courses . 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