• Bioengineering

  Required

  BIEN 201 - Mathematical Methods for Bioengineering Victor G.J. Rodgers

  Completion of three of the following courses:

  • BIEN 223: Engineering Analysis of Physiological Systems Bahman Anvari
  • BIEN 224: Cellular and Molecular Engineering Jiayu Liao
  • BIEN 249: Integration of Computational and Experimental Biology
  • BIEN 264: Biotransport Phenomena Victor G.J. Rodgers
  • BIEN 270: Transport with Reactions in Biological Systems Victor G.J. Rodgers
• Chemical Engineering

  Completion of the following courses:

  • CEE 200: Advanced Engineering Computation Bryan Wong
  • CEE 202: Transport Phenomena
  • CEE 204: Advanced Kinetics and Reactor Design Charles Wyman
  • CEE 206: Advanced Chemical Engineering Thermodynamics Jianzhong Wu
• Data Science

  Required

  • PHYS 247: Introduction to Applied Data Science Bahram Mobasher

  It is strongly recommended for the Data Science students to take PHYS 247 before the other Data Science courses so that they will have the proper background

  Completion of three of the following courses:

  • CS 167: Introduction to Big-Data Management Salman Asif
  • CS 235: Data Mining Techniques Eamonn Keogh
  • CS 236: Database Management Systems Chinya Ravishankar
  • CS 242: Information Retrieval and Web Search Vagelis Hristidis
  • EE 240: Pattern Recognition Salman Asif
  • EE 241: Advanced Digital Image Processing Amit Roy-Chowdhury
  • EE 243: Advanced Computer Vision Amit Roy-Chowdhury
  • PHYS 243: Foundations of Applied Machine Learning Bahram Mobasher
  • PHYS 244: Application of Visualization in Data Science Bahram Mobasher
  • STAT 207: Advanced Statistical Computing James Flegal
• Electrical Engineering - Power Systems

  Completion of the following courses:

  • EE 123: Power Electronics or EE153: Electric Drives Roman Chomko
  • EE 218*: Power System Steady State and Market Analysis Nanpeng Yu
    • ENGR 160**: Introduction to Engineering Optimization Techniques
    • EE155: Power Systems Analysis Nanpeng Yu
  • EE 232: Introduction to Smart Grid Hamed Mohsenian-Rad
  • EE 234: Smart Grid Sensors and Data-Driven Applications Hamed Mohsenian-Rad

   * EE218 requires taking ENGR160 and EE155 as prerequisite courses.
  ** ENGR160 should be taken in place of one of the following core courses: ENGR 200, 201, 202, 203.

• Engineering Management

  Engineering Management: The Engineering Management specialization prepares engineers to lead and manage teams, projects, and organizations with technical workforces to meet strategic objectives. This specialization emphasizes applying the management function in the technological setting while recognizing engineering systems' basic and applied sciences. Students will increase their engineering and management knowledge to develop and deliver new products and services while creating value for their organization and customers.
  1. Four of the following college-wide core courses from the professional engineering series will be sufficient for the core requirements: ENGR 200: Engineering in the Global Environment, ENGR 201: Technology Innovation and Strategy for Engineers, ENGR 202: Introduction to Systems Engineering, ENGR 203: Principles of Engineering Management.
  2. Four specialization courses in the Engineering Management concentration: ENGR 204: Projects Portfolio Management, ENGR 205: Quality Management, ENGR 206: Engineering Economics, ENGR 207: Engineering Leadership and Organizational Behavior.
  3. Four units of ENGR296V

  • ENGR 200: Engineering in the Global Environment
  • ENGR 201: Technology Innovation and Strategy for Engineers
  • ENGR 202: Introduction to Systems Engineering
  • ENGR 203: Principles of Engineering Management
  • ENGR 204: Projects Portfolio Management
  • ENGR 205: Quality Management
  • ENGR 206: Engineering Economics
  • ENGR 207: Engineering Leadership and Organizational Behavior
     
• Environmental Engineering - Systems (Water)

  Completion of the following courses:

  • CEE 225: Physical and Chemical Separation Processes Haizhou Liu
  • CEE 226: Biological Treatment Processes Haizhou Liu
  • CEE 241: Water Chemistry in Natural and Engineered Systems Haizhou Liu
  • CEE 243: Advanced Water Treatment Technologies David Jassby 
• Materials at the Nanoscale

  Completion of the following courses:

  • MSE 201: Thermodynamic Foundations of Materials Javier Garay 
  • MSE 210: Crystal Structure and Bonding Krassimir N. Bozhilov 
  • MSE 238: Introduction to Microelectromechanical Systems Cengiz Ozkan 
  • MSE 248: Nanoscale Science and Engineering Cengiz Ozkan 
• Mechanical Engineering

  Completion of the following courses:

  • ME 210: Sustainable Product Design Sundararajan Venkatadriagaram
  • ME 223: Secure and Reliable Control Systems Fabio Pasqualetti 
  • ME 270: Introduction to Microelectrical Systems Cengiz Ozkan 
  • ME 272: Nanoscale Science and Engineering Cengiz Ozkan 
  • ME 274: Plasma-aided Manufacturing and Materials Processing Lorenzo Mangolini
• Mobility Engineering

  Completion of the following courses:

  The program curriculum:

  4 core courses (2 technical and 2 engineering management courses) + 4 specialization courses.

  Technical core courses:

  ME248: Internal Combustion Engines, Heejung Jung
  EE246: Intelligent Transportation Systems, Matt Barth

  Engineering management core courses:

  ENGR 200, 201, 202, and 203.

  Specialization courses:

  CEE233: Advanced Air Pollution Control and Engineering, David Cocker
  CEE234: Vehicle Emissions Control Technology, Measurement Procedures, and Alternative Fuels, Don Collins
  CEE235: Electrochemical Engineering, Juchen Guo
  CEE236: Energy: Production, Uses, Economics, and Sustainability, Georgios Karavalakis
  EE266: Advanced Topics in Connected and Automated Transportation System Guoyuan Wu
  ME117: Combustion and Energy Systems, Heejung Jung
  ME136: Environmental Impacts of Energy Production, Heejung Jung
  ME226: Vehicle Dynamics, Sundararajan Venkatadriagaram

   

ENGR 296: Project Design Course (includes a literature review and a report)

The Project Design Course is intended to provide a problem analysis and system design activity similar to assignments in professional engineering, and the opportunity to perfect the skills of technical writing and oral presentation. All MSOL students must complete a total of four credit hours of the project course in a subject of interest with respect to their specialization area.

Course Learning Objectives

At the completion of this course, the engineer will be able to:

1. Demonstrate an ability to apply knowledge of mathematics, science, and engineering
2. Demonstrate an ability to design and conduct experiments, as well as to analyze and interpret data
3. Ability to gather, analyze, and correlate professional information relating to their project
4. Demonstrate an ability to identify, formulate, and solve engineering problems
5. Gain knowledge and understanding of professional and ethical responsibility
6. Demonstrate an ability to communicate effectively
7. An awareness of the impact of engineering solutions in a global, economic, business, environmental, and societal context
8. Demonstrate an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice