IS3221 Enterprise Resource Planning Systems 3  For students taking Second Major in Statistics, they can replace ST2334 with ST2131 to meet first major requirement. EC1301 Principles of Economics1 The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. • BT4222 Mining Web Data for Business Insights 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. They will read GER1000 Quantitative Reasoning (4 MCs) as compulsory module for the University Level Requirements (ULR). 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. 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). 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. Students are strongly advised to slow down if necessary so that they progress at their own comfortable pace. Faculty of Dentistry 4 It is replaced by USP Foundation module of Writing and Critical Thinking. Saw Swee Hock School of Public Health The use of business analytics for modelling and decisions represents the future of best practices for tomorrow’s success companies. IS3261 Mobile Solutions Design and Development Note: 20 MCs will normally be given as Advanced Placement Credits to holders of diploma or higher qualifications. Either Modules The current dean is Professor Andrew Rose. Students will need to complete the remaining 8MCs. • BT4013 Analytics for Capital Market Trading and Investment 1  Students have done EC1101E Introduction to Economic Analysis can use it to replace EC1301. Should I choose NUS Business Analytics or SMU MITB? Data Analytics Basic Courses . totals Seeking internship opportunities regarding finance and business analytics to apply my skills and knowledge! 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. School of Continuing and Lifelong Education 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. Please refer to Section 3.2.1. MKT1705X Principles of Marketing In a recent report, Singapore continues to attract investments from top multi-national companies despite the pandemic. 1  Students have done EC1101E Introduction to Economic Analysis can use it to replace EC1301. • BT4015 Geospatial Analytics • BT4016 Risk Analytics for Financial Services A good undergraduate degree in any discipline. 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, Decision Science, Industrial and Systems Engineering, Computer Science and Information Systems. 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. 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 more than 50 years, NUS Business School has offered a rigorous, relevant and rewarding business education to outstanding students from across the world. • IS3240 Economics of E-Business 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: Under the new Bachelor of Business Administration (BBA) 2017 programme, students are enrolled directly into an Honours programme. Objective Grand Total Eli Yi-liang Tung is a Lecturer in the Department of Analytics and Operations at National University of Singapore (NUS). This course prepares students with fundamental theory and basic instruments to capture business insights from data and thus make good managerial decisions. • IS4302 Blockchain and Distributed Ledger TechnologiesTo be awarded the Marketing Analytics Specialisation, students must satisfy the followings: • BT4212 Search Engine Optimization and Analytics Bulletin Updates 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. Functional elective modules span business functions or sectors of marketing, retailing, logistics, healthcare, etc. IE4210 Operations Research II Given below is a timeline of the school's history 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 … 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. Other Multidisciplinary/ Special Programmes Big data is now part of every industry sector and function of the global economy. BT4014 Analytics Driven Design of Adaptive Systems • BT4212 Search Engine Optimization and Analytics • IS4228 Information Technologies in Financial Services, Elective modules (select any 3 modules): (Hons.) List B (Analytics Methods): CP3209 is an independent study module (ISM) which will be counted as 2 USP Inquiry modules in the Sciences and Technologies domain. BT4240 Machine Learning for Predictive Data Analytics BT2102 Data Management and Visualisation 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). 4 • BT4221 Big Data Techniques and Technologies 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). BT4016 Risk Analytics for Financial Services NUS Mods 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. This assumes the students’ work and other commitments allow them sufficient time to properly cope with their studies. They will not be required to read IS2101 Business and Technical Communication in the Core modules requirement. 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. IS3103 Information Systems Leadership and Communication There is only one intake per academic year in Semester 1 (i.e. Sample Study Schedule (beginning in Semester 1 of an Academic Year): Students in their third and fourth years of study may choose elective modules from two lists of either functional or methodological elective modules. The remaining 16 MCs in ULR are replaced by the 3 USP Inquiry Modules and 1 USP Foundation module ( i.e. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0 The James Dyson Award is an international design award that celebrates, encourages and inspires the next generation of design engineers. He is an enthusiastic teacher to advocate the use of Business Analytics in undergraduate business teaching. In sum, these elective modules span the most exciting and challenging areas of business analytics practice in the industry today. Specialisations:To be awarded the Financial Analytics Specialisation, students must satisfy the followings: 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. Part III: Modules • BT4012 Fraud Analytics Programme Learning Objectives UNRESTRICTED ELECTIVES BT4013 Analytics for Capital Market Trading and Investment 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 curriculum boasts 7 specialisations for students to choose from. Dissertation. Modules marked with (^) are for students who are able to attend day classes for General Education modules only. List A (Functional): Yong Loo Lin School of Medicine 5 of 6 modules must be at level-4000. IS4010 Industry Internship Programme). • BT4222 Mining Web Data for Business Insights Note that the BT4101 project selection process takes place one semester ahead of the semester in which the students commence BT4101. NUS SCALE Data Analytics Courses. 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. count TR3202 Start-up Internship Programme (12 MCs) towards Industrial Experience Requirement (i.e. They will read the remaining USP requirements under Unrestricted Electives. 32 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. 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. 108 Passionate about learning new things and gaining new experiences. MA1101R Linear Algebra I2 Compulsory modules (do all 3 modules): A. Strong knowledge of data analytics foundations and fundamentals, including: familiarity with data analytics and programming principles, and. Dissertation. Sub • BT4012 Fraud 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. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. 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. count TR3203 Start-up Case Study and Analysis (8 MCs) partially in lieu of BT4101 BSc Dissertation (8 out of 12 MCs). count TR3203 Start-up Case Study and Analysis (8 MCs) partially in lieu of BT4101 BSc Dissertation (8 out of 12 MCs). NUS Bachelor of Technology in Computing. New to the curriculum are 3 specialisations – Business Analytics, Innovation & Entrepreneurship, and Business Economics. Satisfy any other additional requirements that may be prescribed by SCALE, the School of Computing, or the University. 4 1. The remaining 16 MCs in ULR are replaced by the 3 USP Inquiry Modules and 1 USP Foundation module ( i.e. • BT4016 Risk Analytics for Financial Services B.Sc. CS2040 Data Structures and Algorithms Elective modules (select any 3 modules): Academic Information / Policies 4 AY2017/18 4 high and broad understanding of the application of analytics in various industrial domains. with a major in Data Science and Analytics [160 MCs] Second Major in Statistics [48 MCs] Second Major in Data Analytics [48 MCs] Minor in Statistics [24MCs] For students matriculated in AY2014/15, AY2014/15 and AY2015/16: One sample study schedule is shown below. Education at NUS IS4302 Blockchain and Distributed Ledger Technologies, Specialisations:To be awarded the Financial Analytics Specialisation, students must satisfy the followings: Lee Kuan Yew School of Public Policy CS2030 Programming Methodology I 20 MA1521 Calculus for Computing, or MA1102R Calculus2 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. BT3102 Computational Methods for Business Analytics 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. • BT4211 Data-Driven Marketing IS4228 Information Technologies in Financial Services Alternatively, students may take General Education modules in the evenings in other Semesters or Special Terms. IS4010 Industry Internship Programme). 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. Students with CAP of 4.00 or higher may opt to replace IS4010 Industry Internship Programme by BT4101 B.Sc. Students in the University Scholars Programme (USP) who choose the Bachelor of Science (Business Analytics) degree programme will do so with the following variations: List C (Technology Implementation) CP3209 is an independent study module (ISM) which will be counted as 2 USP Inquiry modules in the Sciences and Technologies domain. NUS Overseas Colleges (NOC) – Business Analytics 3. IE2110 Operations Research I 4 , or DBA3701 Introduction To Optimisation 4 – At least 3 out of 5 modules must be at level 4000. • IS4234 Compliance and Regulation Technology 3.3.1 Bachelor of Technology (Business Analytics) The BTech (Business Analytics) programme is offered in partnership with the School of Computing. Faculty of Engineering 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. IE3120 Manufacturing Logistics 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. 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. All modules are 4MCs, except when otherwise stated. Compulsory modules (do all 3 modules): BT4212 Search Engine Optimization and Analytics IS4241 Social Media Network Analysis • BT4221 Big Data Techniques and Technologies 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. Programme Introduction An NUS education provides a strong technical foundation across all areas of computing, meaning that your Business Analytics training will be bolstered by strong general computer skills. • BT4014 Analytics Driven Design of Adaptive Systems August). 8 IS2101 Business and Technical Communication 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). Yong Siew Toh Conservatory of Music D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. The National University of Singapore Business Analytics Centre (NUS BAC) is located in Singapore, the regional hub and a perfect stepping stone to Asia. 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 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. IS3221 Enterprise Resource Planning Systems Part II: Programmes Elective modules (select any 3 modules): It is replaced by USP Foundation module of Writing and Critical Thinking. 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 Students are required to complete 160 Modular Credits (MCs) to graduate. Students may pursue either a double honours or a single honours programme. Bachelor of Science in Business Analytics, D. School of Continuing and Lifelong Education, H. NUS Graduate School for Integrative Sciences and Engineering, 1. 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. 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. ST2334 Probability and Statistics 3 24 For students taking the Second Major in Mathematics, they can replace ST2334 with both ST2131 and ST2132 to meet first major requirement. BT4222 Mining Web Data for Business Insights The number of Modular Credits (MC) of a module is denoted by the number in the bracket. 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 […] The number of Modular Credits (MC) of a module is denoted by the number in the bracket. 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. IS3240 Digital Platform Strategy and Architecture I am most comfortable with SMU MITB style of teaching as I was formerly an undergraduate student in SMU. 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. The style is exactly the same with 15 weeks of lessons and a recess week in the middle of the term. 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. ST3131 Regression Analysis 5  They will read GER1000 Quantitative Reasoning (4 MCs) as compulsory module for the University Level Requirements (ULR). The MCs for ST2132 come from Unrestricted Electives. For students taking the Second Major in Mathematics, they can replace ST2334 with both ST2131 and ST2132 to meet first major requirement. • BT4015 Geospatial Analytics BT2101 Decision Making Methods and Tools Students who aim for Honours (Highest Distinction) must pass the BT4101. Yale-NUS College Students in the University Scholars Programme (USP) who choose the Bachelor of Science (Business Analytics) degree programme will do so with the following variations: BT4015 Geospatial Analytics 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, School of Continuing and Lifelong Education, NUS Graduate School for Integrative Sciences and Engineering, Centre for English Language and Communication, Other Multidisciplinary/ Special Programmes, BT1101 Introduction to Business Analytics, MA1521 Calculus for Computing, or MA1102R Calculus, IS2101 Business and Technical Communication, BT3102 Computational Methods for Business Analytics, BT3103 Application Systems Development for Business Analytics, IS3103 Information Systems Leadership and Communication, BT4103 Business Analytics Capstone Project, BT4101 BSc Dissertation or IS4010 Industry Internship Programme, 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, 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, To apply appropriate analytic tools and techniques to resolve complex business analytics problems in various industry sectors and domains, 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. • IS4228 Information Technologies in Financial Services BT4211 Data-Driven Marketing 2  Students are encouraged to take these MA module options should they wish to pursue a more rigorous treatment of the subject topics covered. Objectives. 2. 72 University Scholars Programme (Business Analytics) AY2015/16. • BT4211 Data-Driven Marketing Administrative Policies / Procedures Learning objectives of the Bachelor of Science (Business Analytics) degree programme are: About NUS 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. Compulsory modules (do all 3 modules): Students in their third and fourth years of study may choose elective modules from two lists of either functional or methodological elective modules. IS4250 Healthcare Analytics • BT4221 Big Data Techniques and Technologies 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… 4 Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module. Programme Electives (PE) History. count TR3202 Start-up Internship Programme (12 MCs) towards Industrial Experience Requirement (i.e. CS1010S Programming Methodology MCs 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. DBA3712 Dynamic Pricing and Revenue Management Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. • BT4014 Analytics Driven Design of Adaptive Systems School of Business Students under the NUS co-operative education programme will need to take BT4011 Business Analytics Capstone Industry Project rather than BT4101. AY2016/17 CS3244 Machine Learning 2: English Language Requirement. 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