Master of Technology in Enterprise Business Analytics

Master of Technology in Enterprise Business Analytics

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  Master of Technologyin Enterprise Business Analytics(Data Science Offering) Info session Dr Rita Chakravarti #ISSLearningFest 1
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  Gain Mastery inBusiness Analytics: The NUS-ISS Stackable Programme in Data Science • What is Data Science? • Who Should Take MTech EBAC? • Recent EBAC Job Profile • What Do We Teach in MTech EBAC • Stackable Structure • Admission Requirement for Structured Route #ISSLearningFest 2
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  What is DataScience? #ISSLearningFest Digital Revolution • The combinatorial effects of these technologies – mobile, cloud, artificial intelligence, sensors and analytics among others – are accelerating progress exponentially Source: Accenture-Digital-Transformation One of the Enablers 3
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  Who Should TakeEBAC? #ISSLearningFest • Professionals who want to champion the use of analytics in their organization to make data driven decisions • Entry level Business Analytics professionals lacking the necessary academic fundamentals who want to play a significant role in the analytics initiative of their organization • Professionals in related fields, such as IT, Engineering & Science, Medical professionals who want to acquire Business Analytic skills and knowledge so that they can play a significant role in the analytics initiative of their organization 4
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  Recent EBAC JobProfile #ISSLearningFest • Data Engineer (Transportation, F&B) • Data Scientist (Telecom, Government, IT, Fintech) • Data Analyst (Bank, Government, IT, Fintech, Retail, Consulting, Transportation, Pharmaceutical, Ecommerce) • Analytics Consultant (Healthcare, IT, accounting) • Market Analyst (Oil & Gas, Ecommerce) • Product Manager (Tech, Mobile) 5
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  What Do WeTeach in EBAC? #ISSLearningFest Analytics Project Management & Delivery Core Analytics Techniques Customer Analytics Big Data Processing Practical Language Processing Advanced Predictive/Prescriptive Modelling Techniques Statistics for Business II Statistics Boot Camp II Customer Analytics Big Data Engineering for Analytics Text Analytics Complex Predictive Modelling & Forecasting Data Story Telling Predictive Analytics – Insights of Trends and Irregularities Advanced Customer Analytics Recommender Systems New Media & Sentiment Mining Product & Pricing Analytics Data Management for Analytics Text Analytics Campaign Analytics Processing Big Data for Analytics Text Processing using Machine Learning Analytics for Commercial Excellence Managing Business Analytics Projects Data Analytics Process and Best Practice II Conversational UIs Certificate in Analytics Project Management Certificate in Business Analytics Practice Certificate in Customer Analytics Certificate in Big Data Analytics Certificate in Practical Language Processing Certificate in Specialized Predictive Modelling and Forecasting Specialist Certificates : Choose Any Two Foundation Certificates + CAPSTONE & Data Science Solution Implementation Course 6
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  Stackable Structure #ISSLearningFest Stack yourCertificates to gain deeper mastery and earn a Master of Technology 2 Foundation + 2 Specialist + Capstone Project +DSSI = MTech* * Requires CAP >= 3.0 over all Certificates & Capstone Structured Route: • Certificates are run back to back to minimise the study duration • Apply, Qualify & Register up-front as a Masters student • Study on Saturdays (part-time student, 2 years, January Intake) or weekdays (full-time student, 1 year, August Intake) Flexible Route: • Take courses and certificates anytime over a 7 year period (5 years coursework and 2 years Capstone) • Schedule your studies from our Executive Education (short course) calendar • No application required until you start the capstone project MTech in Enterprise Business Analytics (BA) 4 Graduate Certificates Capstone + DSSI 7
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  Admission Requirement forStructured Route #ISSLearningFest Master of Technology in Enterprise Business Analytics: -A good bachelor’s degree from a recognised university preferably in Mathematics, Statistics, Econometrics, Management Science, Operational Research, IT, Sciences or similar A Grade-point-average of B (60%) or the equivalent of NUS/NTU/SMU Proficiency in the English Language (written and spoken) At least 2 years of relevant work experience R & Python knowledge strongly recommended Pass an NUS-ISS Entrance Test Pass an Interview (for shortlisted candidates) Note : Please refer to our website for all the other details : https://www.iss.nus.edu.sg/graduate-programmes/programme/detail/master-of-technology-in-enterprise-business-analytics 8
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  Give Us YourFeedback #ISSLearningFest Day 2 Programme 9
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  Thank You! [email protected] #ISSLearningFest 10
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  Q & A #ISSLearningFest11