Core courses:

1- ENGMT 501: Engineering Management Science

2- ENGMT 510: Economics and Financial Studies for Engineers

3- SYSEN 505: Technical Project Management

4- SYSEN 536: Decision and Risk Analysis in Engineering

5- SYSEN 850: Creativity and Problem Solving I

6- SYSEN 555: Invention and Creative Design

Elective Courses:

1- STAT 500: Applied Statistics

2- DAAN 871: Data Visualization for Analytics

3- SWENG 545: Data Mining

4- SYSEN 596: Independent Study "Role of human mobility in the spread of COVID-19 in the U.S."

Professional Master Capstone Project:

ENGMT 539:  Capstone project course

Recommendations for Strategic Improvement of Tesla, Inc.

Core courses:

1- STAT 500: Applied Statistics

2- SWENG 545: Data Mining

3- IE 575: Foundations of Predictive Analytics

4- DAAN 501: Research Methodology and Problem Framing

5- DAAN 570: Deep Learning

Elective Courses:

1- SYSEN 862 - Analytics Programming in Python

2- SYSEN 536: Decision and Risk Analysis in Engineering

3- DAAN 871: Data Visualization for Analytics

Master of Science Thesis:

DAAN 600: MS Thesis Research

Developing a Machine Learning model capable of recommending travel restrictions during infectious disease outbreaks, which decision-makers can use to minimize deaths, delay the peak mortality time, maintain economic stability, and avoid the need for a complete travel shutdown.