Data Analytics for Defense Management - Curriculum 194

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.

Convenes

Spring

Program Length

Four quarters

Certificate Requirements

Quarter 1

Course Number	Title	Credits	Lecture Hours	Lab Hours
MN3911	Introduction to Data Analytics for Defense Management		3	0

Quarter 2

Course Number	Title	Credits	Lecture Hours	Lab Hours
MN4912	Multivariate Data Analysis		3	0

Quarter 3

Course Number	Title	Credits	Lecture Hours	Lab Hours
MN4913	Advanced Model Building for Causal Inference and Prediction		3	0

Quarter 4

Course Number	Title	Credits	Lecture Hours	Lab Hours
MN4914	Applications of Data Analytics in Defense Management		3	0

 

For Further Information:

Program Officer

Matt Geiser, CDR, USN

Code GB, Ingersoll Hall, Room 219A

[phone], DSN 756-3953

[e-mail]

Academic Associate

Amilcar Menichini, Ph.D.
Ingersoll Hall, Room 208

[phone]
[e-mail]

Program Manager

Christina Hart, Ph.D.
Code GB, Ingersoll Hall, Room 334

[phone], DSN 756-6269
[e-mail]