Business Analytics Programs 17 Nov 2013 The The core f core for r - PDF document

Business Analytics Programs 17 Nov 2013 The The core f core for r MBA MBA / / MS MS Course Key Ideas Skills/Software Business Intelligence Bridge between IS and Databases, SQL, Business Analytics Programs Quantitative Methods Dashboards Business Modeling Financial, Forecasting, Spreadsheet based analysis Optimization – Excel – Regression, LP Satish Nargundkar (Solver) Data Mining Model Life Cycle Data Cleaning Georgia State University Classification/Prediction, DiscriminantAnalyis, Segmentation, Association Logistic Regression, Presented at the Decision Sciences Institute Annual ANN, Classification Trees, Clustering Meeting, Baltimore, Nov. 16-19, 2013. Project Management Soft skills, quantitative PERT/CPM aspects. Critical activities. Elec Electives f for r MS MS Ne New (Pr w (Propo posed) MS MS Pr Progr ogram Quantitative Qualitative Research focus Across departments Statistical Modeling Negotiation Information Systems, Marketing, Applied Regression IS Management Management Science, Risk Management Risk Management Strategy Internship component Marketing Intelligence Industry partnership for data, projects Succe Success wit ss with current current pr prog ogram ram  Fairly strong anecdotal data  Increased enrollment  Challenges  Software, data  Mathematical ability  Staffing/Hiring – research vs. teaching 1 2013 ‐ Nargundkar ‐ DSI ‐ MSMESB ‐ Slides.pdf

Business Analytics Programs Satish Nargundkar Georgia State University Presented at the Decision Sciences Institute Annual Meeting, Baltimore, Nov. 16-19, 2013.

The core f The core for MBA / MS r MBA / MS Course Key Ideas Skills/Software Business Intelligence Bridge between IS and Databases, SQL, Quantitative Methods Dashboards Business Modeling Financial, Forecasting, Spreadsheet based analysis Optimization – Excel – Regression, LP (Solver) Data Mining Model Life Cycle Data Cleaning Classification/Prediction, Discriminant Analyis, Segmentation, Association Logistic Regression, ANN, Classification Trees, Clustering Project Management Soft skills, quantitative PERT/CPM aspects. Critical activities.

Electiv Electives f s for MS r MS Quantitative Qualitative Statistical Modeling Negotiation Applied Regression IS Management Risk Management Strategy Marketing Intelligence

Ne New (Pr w (Proposed) MS posed) MS Pr Program ogram Research focus Across departments Information Systems, Marketing, Management Science, Risk Management Internship component Industry partnership for data, projects

Success with current pr Success with current program ogram  Fairly strong anecdotal data  Increased enrollment  Challenges  Software, data  Mathematical ability  Staffing/Hiring – research vs. teaching