Data Analytics for Defense Management - Curriculum 194 (DL)
Brief Overview
This program empowers defense managers with basic tools to use data in decision making and an understanding of how data creates value in defense organizations. The program builds basic data literacy for defense managers, enabling them to do basic descriptive and prescriptive analytics with available tools and to better manage data-intensive projects and processes. Students learn how to identify and collect data that is informative for a given managerial context. The four courses take students from no prior data science background through understanding the terminology and concepts underlying complex data bases and algorithms in machine learning. They study specific applications in areas such as manpower, budgeting and logistics. Mathematical literacy is a requirement for entry, but no prior probability, statistics, use of statistical software or programming is required.
Program Length
Four consecutive quarters
Certificate Requirements
Quarter 1
MN3911 | Introduction to Data Analytics for Defense Management | | 3 | 0 |
Quarter 2
MN4912 | Multivariate Data Analysis | | 3 | 0 |
Quarter 3
MN4913 | Advanced Model Building for Causal Inference and Prediction | | 3 | 0 |
Quarter 4
MN4914 | Applications of Data Analytics in Defense Management | | 3 | 0 |
For Further Information:
Program Officer
Madeleine Fuentes, LCDR, USN
Code GB, Ingersoll Hall, Room 220
(831) 656-0309, DSN 756-0309
madeleine.fuentes1@nps.edu
Academic Associate
Laura Armey, Ph.D.
Ingersoll Hall, Room 240
(831) 656-2818
larmey@nps.edu
Program Director
Christina Hart, Ph.D.
Code GB, Ingersoll Hall, Room 334
(831) 656-6269, DSN 756-6269
cchart@nps.edu