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

10 course units are required for the MSE in Systems Engineering.1
Foundation Courses5
Choose at least one course from each area of Data Science, Systems Modeling and System Design and Optimization
Data Science
CIS 5190
Applied Machine Learning
or CIS 5200
 Machine Learning
ESE 5140
Graph Neural Networks
ESE 5280
Estimation and Detection Theory
ESE 5380
Machine Learning for Time-Series Data
ESE 5390
Hardware/Software Co-Design for Machine Learning
ESE 5420
Statistics for Data Science
ESE 5460
Principles of Deep Learning
ESE 6450
Deep Generative Models
ESE 6500
Learning in Robotics
Systems Modeling
ESE 5000
Linear Systems Theory
ESE 5030
Simulation Modeling and Analysis
ESE 5070
Introduction to Networks and Protocols
ESE 5310
Digital Signal Processing
ESE 6650
Datacenter Architecture
ENM 5310
Data-driven Modeling and Probabilistic Scientific Computing
System Design and Optimization
ESE 5060
Introduction to Optimization Theory
ESE 5050
Feedback Control Design and Analysis
ESE 5430
Human Systems Engineering
ESE 6050
Modern Convex Optimization
ESE 6190
Model Predictive Control
ESE Elective1
Select 1 ESE Elective 2
Technical Electives2
Select 2 Technical Electives:
Any 5000 or 6000 level course in EAS, ENM, ESE, CIS, CIT, IPD, MEAM, or MSE 3
Application Area2
Choose ESE 9990 or any two graduate level courses from one approved Application Area 4
Total Course Units10
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

Select any graduate-level ESE course at the 5000 and 6000 level.

3

A maximum of two (2) CIT course units are allowed towards the degree.

Only the following EAS courses are allowed:

  • EAS 5070 Intellectual Property and Business Law for Engineers
  • EAS 5100 Technical Communication and Academic Writing for Non-native Speakers of English
  • EAS 5120 Engineering Negotiation
  • EAS 5450 Engineering Entrepreneurship I
  • EAS 5460 Engineering Entrepreneurship II
  • EAS 5470 Engineering Product Management from Theory to Practice
  • EAS 5490 Engineering Entrepreneurship Lab
  • EAS 5950 Foundations of Leadership
4

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 2025 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.