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Published byConstance Mitchell Modified over 6 years ago
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What Should be Taught in a Prescriptive Analytics Course?
_______ Jeffrey D. Camm Associate Dean and Inmar Presidential Chair in Analytics
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Timeline Task Force Formed: August 2015 Program Launch: July 2016
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MSBA Class of 2017 37 Graduates 66% Employed at Graduation
Employers Advance Auto Parts Aon Bank of America Business Impact Cascade Data Labs Credit Health Services Disney EW Scripps EY Fifth Third Bank Global Lending Services Grant Thornton Hanesbrands Inmar Ketchum Merkle NaviHealth North Highlands Consulting PepsiCo Red Hat Spectrum Uber UTC Aerospace Systems Vivisum Wells Fargo MSBA Class of 2017 37 Graduates 66% Employed at Graduation 97% Employed 90 days out
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Wake Forest MSBA Curriculum
Prescriptive Analytics
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Prescriptive Analytics
Introduction to Optimization Linear Programming Sensitivity Analysis Integer Programming Nonlinear Programming Robust Optimization Solver, Open Solver, AMPL Introduction to Optimization Linear Programming Sensitivity Analysis Integer Programming Nonlinear Programming Simulation Optimization Solver, Open Solver, AMPL, CB
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MSBA Advisory Board
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What is prescriptive analytics?
“It is certainly not what is in your book!”
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What is prescriptive analytics?
“It is the deployment of predictive analytics!” Logistic Regression
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Prescriptive Analytics as the Deployment of a Descriptive Model
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Prescriptive Analytics
The scientific process of transforming data into insights, where the process yields a course of action.
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Prescriptive Analytics
Introduction to Optimization Rule-Based Systems Decision Analysis Linear Programming Sensitivity Analysis Integer Programming Nonlinear Programming Heuristics Simulation Optimization Artificial Intelligence Machine Learning Cognitive Computing Solver, Open Solver, AMPL, Crystal Ball, Watson
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