Systems Engineering, MSE
The MSE Program in Systems Engineering (SE) is best positioned to give students a broad foundation across data science, systems modeling, and optimization and decision-making with applications in societal systems (energy, transportation, heath operations).
The MSE Program in Systems Engineering (SE), grounded in the intersection of electrical and systems engineering, is best positioned to give students the in-depth theoretical foundation and interdisciplinary skills required by the growing complexity of technological systems. Our flexible curriculum allows you to tailor your studies to your personal interests and goals, from signal processing, optimization, simulation, control and cybernetics to complex adaptive systems, stochastic processes and decision sciences.
For more information: http://www.ese.upenn.edu/current-students/masters/sys-eng.php
Curriculum
| Code | Title | Course Units |
|---|---|---|
| Foundation Courses | 6 | |
| Choose at least one course from each area of Data Science, Systems Modeling and System Design and Optimization | ||
| Data Science | ||
| Applied Machine Learning | ||
or CIS 5200 | Machine Learning | |
| Graph Neural Networks | ||
| Estimation and Detection Theory | ||
| Hardware/Software Co-Design for Machine Learning | ||
| Statistics for Data Science | ||
| Data Mining: Learning from Massive Datasets | ||
| Principles of Deep Learning | ||
| Systems Modeling | ||
| Linear Systems Theory | ||
| Networking - Theory and Fundamentals | ||
| Simulation Modeling and Analysis | ||
| Dynamical Systems for Engineering and Biological Applications | ||
| Digital Signal Processing | ||
| System Design and Optimization | ||
| Introduction to Optimization Theory | ||
| Feedback Control Design and Analysis | ||
| Human Systems Engineering | ||
| Modern Convex Optimization | ||
| Model Predictive Control | ||
| Leadership Electives | ||
| Select 1 Leadership Elective: | 1 | |
| Engineering Economics | ||
| Project Management | ||
| Engineering Entrepreneurship I | ||
| Engineering Entrepreneurship II | ||
| Intellectual Property and Business Law for Engineers | ||
| Engineering Negotiation | ||
| Technical Elective | 1 | |
| Select 1 Technical Elective: | ||
| Technical Communication and Academic Wrting for Non-native Speakers of English | ||
| Engineering Negotiation | ||
| Engineering Entrepreneurship I | ||
| Engineering Entrepreneurship II | ||
| Foundations of Leadership | ||
Any 5000 or 6000 level course in ENM, ESE, CIS, CIT or MEAM | ||
| **ESE 5990 can only be used in this category | ||
| Application Area | ||
| Choose ESE 5970 or any two graduate level courses from one approved Application Area | 2 | |
| Total Course Units | 10 | |
- 1
Curriculum
- Students must complete ten (10) course units at the graduate level (5000+)
- Students must be registered in the 5000-level section in a cross-listed course. Any cross-listed section at the 4000-level or below is ineligible towards the degree.
- 2
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.
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2023 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.