Systems Engineering, MSE

Applied Machine Learning
Machine Learning
Estimation and Detection Theory
Statistics for Data Science
Data Mining: Learning from Massive Datasets
Priniples of Deep Learning
Linear Systems Theory
Simulation Modeling and Analysis
Dynamical Systems for Engineering and Biological Applications
Agent-Based Modeling and Simulation
Digital Signal Processing
Systems Methodology
Intro to Linear, Nonlinear and Integer Optimization
Feedback Control Design and Analysis
Human Systems Engineering
Modern Convex Optimization
Model Predictive Control
Engineering Economics
Project Management
Special Topics in Electrical and Systems Engineering
Engineering Entrepreneurship I
Engineering Entrepreneurship II
Intellectual Property and Business Law for Engineers
Engineering Negotiation
Technical Communication and Academic Wrting for Non-native Speakers of English
Engineering Negotiation
Engineering Entrepreneurship I
Engineering Entrepreneurship II
Foundations of Leadership

Curriculum

• Students must complete ten (10) course units at the graduate level (500+)
• Students must be registered in the 500-level section in a cross-listed course. Any cross-listed section at the 400-level or below is ineligible towards the degree.

Application Area Electives:

• Select 2 course units of approved electives from graduate courses offered at Penn in SEAS, SAS, Medicine, Law, Wharton MBA, Social Policy, and Education.
• These must have technical/scientific content and relevance to the student’s program.
• Approval must be obtained from the ESE department prior to enrollment in the course.