Students will need to complete the primary major requirements to graduate. MCs The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. The objectives of the Minor in Business Analytics (BZA) are: But students need to apply for the module substitution as advanced modules may need the taught programming language in CS1010S and it is imperative that students who take CS1010S equivalent are aware of it. BComp (Computer Science) Teaching Institutions Administrative Policies / Procedures 4 Provost's Welcome Message The objectives of the Minor in Business Analytics (BZA) are: The Minor in Business Analytics enables students to attain, by the time of graduation: The Minor in Business Analytics programme offers direct admission. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. Students applying for the Minor in Business Analytics must meet the entry requirement: Students from cohort 2016/17 or later who have taken CS1010S (or its equivalent) and BT1101 (or its equivalent) as part of their degree requirements can apply for entry into Minor in Business Analytics starting Semester 1, AY2017-18. An ability to function effectively in teams to accomplish a common goal. A minimum 16 MCs of the Minor requirements must be earned from modules read in NUS. Sample Study Schedule. Saw Swee Hock School of Public Health BT4221 Big Data Techniques and Technologies For A-Level Holders: At least a H2 pass in Mathematics. BT4221 Big Data Techniques and Technologies BT1101 Introduction to Business Analytics1 Yong Siew Toh Conservatory of Music To produce graduates who are able to understand business analytics principles and practices and apply it in a multi-disciplinary context. Part III: Modules FASS Minors. The main aim of the Minor is to train graduates with the ability to handle and manage the large volume of data generated by industry and glean actionable insights from that data. School of Business 2 CS1010S can be replaced by CS1101S/CS1010/E/S/X/FC/J. Education at NUS AY2015/16. FASS has designed several multidisciplinary and disciplinary minors. The other 8 MCs may be earned through credit transfers, advanced placement and exemptions, provided these MCs are earned from modules deemed relevant to the particular Minor programme. Centre for English Language and Communication Recognition of the need for and an ability to engage in continuing professional development. For students following the enhanced grade-free scheme for S/U option: The S/U option is available for modules that are part of a student’s Minor requirements if they fall under the criteria stated for their cohort, and as long as the student has at least a minimum 16 MCs of the Minor requirement earned from modules read in NUS (i.e., graded modules with assigned grade points or modules with an ‘S’ or ‘CS’ grade) out of the 24 MCs to fulfill the Minor requirements towards graduation. The table below shows the programme structure in details. Faculty of Science Elective Modules BT1101 Introduction to Business Analytics. Institute of Systems Science Complete 8MCs of modules in the list below: CS1010S can be replaced by CS1101S/CS1010/E/S/X/FC/J. Objectives But students need to apply for the module substitution as advanced modules may need the taught programming language in CS1010S and it is imperative that students who take CS1010S equivalent are aware of it. For students following the enhanced grade-free scheme for S/U option: The S/U option is available for modules that are part of a student's Minor requirements if they fall under the criteria stated for their cohort, and as long as the student has at least a minimum 16 MCs of the Minor requirement earned from modules read in NUS (i.e., graded modules with assigned grade points or modules with an ‘S’ or ‘CS’ grade) out of the 24 MCs to fulfill the Minor requirements towards graduation. The Minor in Business Analytics will be awarded to students who satisfied the 24 MCs minor requirement. Faculty of Arts & Social Sciences Data Science … This minor is not awarded with the primary major in Mathematics, Applied Mathematics, Quantitative Finance, and Data Science & Analytics, and second major in Mathematics, Financial Mathematics and Data Analytics. NUS Graduate School for Integrative Sciences and Engineering An ability to function effectively in teams to accomplish a common goal. In a 5 year partnership that ensued with ibm contributing industrial knowledge and nus offering academic expertise. Ben Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS. Disciplinary Minors : Artificial Intelligence : School of Computing : Restricted: Business Analytics: School of Computing: Restricted: Computer Science: School of Computing: Restricted: Information Security: School of Computing: Restricted: Information Systems (formerly Management of Information Technology) School of Computing: Restricted: Multidisciplinary Minors : Data Engineering His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. For diploma holders: Diploma with at least an A2 in GCE ‘O’ level Elementary Mathematics or at least a B4 grade in GCE ‘O’ level Additional Mathematics. She has a passion for engaging and inspiring working professionals at all levels by applying the theory to real world business applications. Students who are waived from completing CS1010 or its equivalent must complete another 4 MCs under Elective modules. The aim of this minor programme is to introduce students to the basic concepts and practices in statistics as a pathway to enhance the analytical skill and statistical reasoning in dealing with information related to their majors. BComp (Information Security) Strong foundational knowledge of business analytics principles, including (a) familiarity with common business analytics methodologies and principles, (b) high-level understanding of data-driven analytics as a whole, (c) understanding of the theoretical underpinnings of business analytics and their influences in practice. 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