Stephen Mahar - Curriculum Overview


Stephen:  So the MSA curriculum, 12 courses, 36 credit hours.  Students start the program, taking two semesters worth of foundation course work.  So in the first semester in the program they’re taking Intro to Business Analytics course with me, more of a survey course, pretty much with Excel and different add-ins.  The second half of their first semester they’re going to be taking a course in R programming and then in their second semester in the program they’ll be taking Data Models and then Multivariate Statistics where they build on their R programming skill set.  Once they’ve completed that foundation course work, we build upon it when we get into the core course work.  And so the core is kind of like a carousel – three semester carousel which has prongs of Data Mining, Data Management and Decision Modeling.  Inside of the data mining courses we have one course, Data Mining, the second half of that semester they’ll be taking a course in Text and Web Mining.  As far as the Data Management courses they’ll be taking a course in Enterprise Data Management and then another course in Business Intelligence.  And then for Decision Modeling they’ll have a course in Advanced Optimization and Simulation.  Okay, once they’ve completed that core course work, they move into the last semester of the program where they’re going to be taking Advanced Business Applications course and then the Practicum.

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