Sample Plan of Study: Machine Learning and Data Science

The following sample plan of study fulfills the M.S. degree in Computational Operations Research with an emphasis on Machine Learning and Data Science. There are a variety of elective courses that may be substituted for courses listed. All plans of study are subject to the approval of the graduate director.

Fall Semester I

• CAM 606 Computing in Operations Research
• CAM 626 Linear Regression
• CAM 628 Linear Programming

Spring Semester I

• CAM 688 Optimization and Machine Learning 
• MATH 551 Probability
• MATH 524 Stochastic Models in Operations Research

Fall Semester II

• CAM 616 Design of Experiments
• PUBP 616 Time Series Econometrics
• CAM 696 Simulation and Modeling Project in Computational Operations Research

Spring Semester II

• CAM 618 Model and Applications of Operations Research
• CSCI 520 Introduction to Neural Networks
• CAM 688 Statistical Data Mining