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Analytics programs at other schools-1 Advanced Business Certificate in Business Analytics at UCONN Hartford Campus 4 courses, 3 required 1 elective (can.

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Presentation on theme: "Analytics programs at other schools-1 Advanced Business Certificate in Business Analytics at UCONN Hartford Campus 4 courses, 3 required 1 elective (can."— Presentation transcript:

1 Analytics programs at other schools-1 Advanced Business Certificate in Business Analytics at UCONN Hartford Campus 4 courses, 3 required 1 elective (can waive at most 2) 2 semesters Possible SAS (or other) certification at completion in areas like predictive Modeling and Data Warehousing MS in Business Analytics and Project Management at UCONN Department of Operations and Information Management, School of Business, University of Connecticut Designed to be “resource-neutral” Designed to serve as concentrations for full time and Exec MBA’s and MS Engineers, as well as a program for full-time students in Analytics A specific, “skill-intensive” program The MSBAPM will utilize the school’s Graduate Business Learning Center facilities in Hartford for face-to-face meetings and interactions. However, the majority of class delivery and interaction will occur online using a combination of asynchronous and real-time activities.

2 Analytics programs at other schools-2 MS in Business Analytics and Project Management at UCONN-contd – Students pursuing a full time load could finish in approximately 18 months. Our expectation is that most students will be working adults taking part-time loads and likely take 2 to 3 years to complete the program. – !0 courses: 5 required courses in project mgt, 5 in analytics (4 required in each). 8 of the courses already exist Institute for Advanced Analytics at North Carolina State University, Master of Science in Analytics – See – The Master of Science in Analytics (MSA) is a novel, integrated curriculum spanning three semesters. Classes were developed specifically for the degree and taught exclusively to students in the program. Students complete the entire curriculum as a cohort group, working frequently in teamsMaster of Science in Analytics – 11 months of intensive study, 3 semesters (summer, fall, spring), no part-time, evening, or distance learning – Partner with SAS – Thanks to Huseyin Taniverdi for providing this link Northwestern University School of Continuing Studies online program on predictive analytics – – 11 courses, 7 required – “Leadership” course (seems like career management), Capstone Project – TOTAL TUITION EXPENSE $47,360 - $48,160

3 Analytics programs at other schools-2 MS in Business Analytics and Project Management at UCONN-contd – Students pursuing a full time load could finish in approximately 18 months. Our expectation is that most students will be working adults taking part-time loads and likely take 2 to 3 years to complete the program. – !0 courses: 5 required courses in project mgt, 5 in analytics (4 required in each). 8 of the courses already exist Institute for Advanced Analytics at North Carolina State University, Master of Science in Analytics – See – The Master of Science in Analytics (MSA) is a novel, integrated curriculum spanning three semesters. Classes were developed specifically for the degree and taught exclusively to students in the program. Students complete the entire curriculum as a cohort group, working frequently in teamsMaster of Science in Analytics – 11 months of intensive study, 3 semesters (summer, fall, spring), no part-time, evening, or distance learning – Partner with SAS – Thanks to Huseyin Taniverdi for providing this link Northwestern University School of Continuing Studies online program on predictive analytics – – 11 courses, 7 required – “Leadership” course (seems like career management), Capstone Project – TOTAL TUITION EXPENSE $47,360 - $48,160

4 Analytics programs at other schools-3 Stanford Center for Professional Development, Data Mining and Applications Graduate Certificate – Required Course: Data Mining and Analysis STATS202 OnlineData Mining and Analysis – Elective Courses: Paradigms for Computing with Data STATS290 OnlineParadigms for Computing with Data – Modern Applied Statistics: Learning STATS315A At Stanford, OnlineModern Applied Statistics: Learning – Modern Applied Statistics: Data Mining STATS315B Online Y NModern Applied Statistics: Data Mining


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