Degree Requirements

The residential Interdisciplinary Professional Master of Science in Logistics Systems Engineering requires 30 credits. The structure is described in the diagram below.

LSE Core

All students must take 7-9 credits of LSE core courses, consisting of the following:

  • One course from Network and Value Chain Design and Management (2-3 credits)
  • One course from Electrification and Autonomous Systems (3 credits)
  • One course from Decision Systems (2-3 credits)
Course lists are available in the menus below.

Operations and Production Management

  • IE 56600: Production Management Control;
  • IE 57900: Design and Control of Production and Manufacturing Systems; or
  • MGMT 57500: Supply Chain Technology (2 cr.); or
  • MGMT 66000: Intro to Operations Management

Supply Network Design

  • CE 56901: Smart Logistics; or
  • IE 59000: Supply Chain Engineering and Analytics; or
  • MGMT 56100: Logistics (2 cr.)

Facility Logistics

  • IE 58200: Advanced Facilities Design
  • IE 58300: Design and Evaluation of Material Handling Systems

Global Operations Design and Management

  • MGMT 56600: Global Supply Chain Management (2 cr.)
  • MGMT 56500: Strategic Sourcing and Procurement (2 cr.)

Emerging Transportation Systems

  • CE 59400: Transportation Systems Analysis
  • IE 59000/EEE 59500: Urban Mobility Optimization

Autonomy and Autonomous Systems

  • AAE 59000: Multi-Agent Autonomy and Control
  • CE 56601: Network Models for Connected and Autonomous Vehicles
  • ME 59700: Autonomous Systems
  • CE 52601: Vehicular Cyber Physical Systems
  • CE 59700: Machine Learning and Artificial Intelligence for Autonomous Vehicle Operations

Modeling and Simulation

  • IE 58000: Systems Simulation
  • IE 53500: Linear Programming
  • IE 53700: Discrete Optimization Models and Algorithms
  • CE 66100: Algorithms in Transportation
  • MGMT 56800: Supply Chain Analytics (2 cr.)

Artificial Intelligence and Machine Learning

  • CE 54601: Data Science for Smart Cities
  • ECE 57000: Artificial Intelligence
  • IE 59000:  Machine Learning and Its Applications; or
  • ECE 50024: Machine Learning; or
  • ME 53900: Introduction to Scientific Machine Learning

LSE Breadth Selectives

All students must take 8-9 credits of LSE topic area courses. Specifically, courses from at least two of the following areas:

  • Smart Automation
  • Human-Technology Interfaces
  • Advanced Materials and Manufacturing
Course lists are available in the menus below.

Advanced Materials and Manufacturing

  • MSE 56800: Additive Manufacturing of Materials
  • MSE 58600: Experimental Characterization Of Advanced Composite Materials
  • IE 59000: Nanomanufacturing

Human-Technology Interfaces

  • IE 55900: Cognitive Engineering of Interactive Software
  • IE 58800: e-Work and e-Service
  • SYS 51000: Tools and Methodologies for Designing Systems
  • AAE 56000: System-of-Systems Modeling and Analysis
  • IE 59000: Project Management
  • MGMT 56200: Project Management (2 cr.)

Digital Integration

  • CHE 55400: Smart Manufacturing in the Process Industries
  • IE/MGMT 59000: Digital Transformation in Industrial Businesses
  • ME 59700: Industrial IoT Implementation for Smart Manufacturing

Robotic Systems

  • ECE 56900: Introduction to Robotic Systems
  • IE 57400: Industrial Robotics and Flexible Assembly

Professional Focus Selectives

All students must take 6 credits of LSE topic area courses, which consist of 2-3 courses from an area of their choice among the following:

  • Network and Value Chain Design and Management
  • Electrification and Autonomous Systems
  • Decision Systems
  • Smart Automation
  • Human-Technology Interfaces
  • Advanced Materials and Manufacturing
Course lists are available in the menus above.

All students must take 6 credits of LSE topic area courses

  • 2-to-3 courses from an area of their choice.

Capstone Experience

All students must earn 6 credits in an Industry-sponsored Capstone project experience.

  • IE59801: LSE Capstone Design (6 credits, under development)