What Should be Taught in a Prescriptive Analytics Course?

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Presentation transcript:

What Should be Taught in a Prescriptive Analytics Course? _______ Jeffrey D. Camm Associate Dean and Inmar Presidential Chair in Analytics

Timeline Task Force Formed: August 2015 Program Launch: July 2016

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

Wake Forest MSBA Curriculum Prescriptive Analytics

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

MSBA Advisory Board

What is prescriptive analytics? “It is certainly not what is in your book!”

What is prescriptive analytics? “It is the deployment of predictive analytics!” Logistic Regression

Prescriptive Analytics as the Deployment of a Descriptive Model

Prescriptive Analytics The scientific process of transforming data into insights, where the process yields a course of action.

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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