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Curriculum: MS in Semiconductor Engineering - Oakland

Core Requirements

Code Title Hours
NanoSystems
Complete one of the following: 4
EECE 7201 Solid State Devices
EECE 7240 and EECE 7248 Analog Integrated Circuit Design and Lab for EECE 7240
EECE 7244 or ME 6260 Introduction to Microelectromechanical Systems (MEMS) or Introduction to Microelectromechanical Systems (MEMS)
Manufacturing
Complete one of the following: 4
EECE 5606 Micro- and Nanofabrication
MATL 7365 Properties and Processing of Electronic Materials
ME 5630 Nano- and Microscale Manufacturing
Innovation
Complete four semester hours from the following. Students may not meet this requirement solely with directed study coursework: 4
BUSN 6379 Entrepreneurial Ecosystems
BUSN 6389 Leading Global Virtual Innovation Teams
CHME 5976 Directed Study
GE 5010 Customer-Driven Technical Innovation for Engineers
GE 5100 Product Development for Engineers
INNO 6200 Enterprise Growth and Innovation
ME 5976 Directed Study

Concentrations

Complete one of the following concentrations:

  • Devices and NanoSystems
  • Materials and Manufacturing

Program Credit/GPA Requirements

32 total semester hours required

Minimum 3.000 GPA required

Devices and NanoSystems

Code Title Hours
Complete two of the following not used to complete other requirements of this program: 8
EECE 5606 Micro- and Nanofabrication
EECE 5651 Introduction to Photonic Devices
EECE 7201 Solid State Devices
EECE 7240 and EECE 7248 Analog Integrated Circuit Design and Lab for EECE 7240
EECE 7244 or ME 6260 Introduction to Microelectromechanical Systems (MEMS) or Introduction to Microelectromechanical Systems (MEMS)
EECE 7250 Power Management Integrated Circuits
EECE 7353 VLSI Design
Complete one of the following options for 12 semester hours: 12
Coursework Option
Complete 12 semester hours from the restricted electives course list.
Project Option 
EECE 7945 Master’s Project
Complete 8 semester hours from the restricted electives course list.
Thesis Option 
EECE 7945 Master’s Project
EECE 7990 Thesis
Complete 4 semester hours from the restricted electives course list.

Materials and Manufacturing Concentration

Code Title Hours
Complete two of the following not used to complete other requirements of this program: 8
CHME 5105 Materials Characterization Techniques
IE 6200 Engineering Probability and Statistics
IE 7270 Intelligent Manufacturing
MATL 7365 Properties and Processing of Electronic Materials
ME 5245 Mechatronic Systems
ME 5620 Fundamentals of Advanced Materials
ME 5630 Nano- and Microscale Manufacturing
Complete one of the following options for 12 semester hours: 12
Coursework Option 
Complete 12 semester hours from the restricted electives course list.
Project Option 
ME 7945 or CHME 7945 or IE 7945 Master’s Project
Complete 8 semester hours from the restricted electives course list.
Thesis Option
ME 7945 or CHME 7945 or IE 7945 Master’s Project
ME 7990 or CHME 7990 or IE 7990 Thesis
Complete 4 semester hours from the restricted electives course list.

Restricted Electives Course List

Any course in the following elective lists will fulfill the restricted elective requirement, provided the course has not already beenapplied to fulfill core requirements of this program and provided the student satisfies prerequisites. Students can take electivesoutside of these lists with prior approval from the faculty advisor.

Code Title Hours
Elective Courses in Engineering and Science 
CHME 5105 Materials Characterization Techniques
CHME 5510 Fundamentals in Process Safety Engineering
CHME 5621 Electrochemical Engineering
CHME 5642 and CHME 5643 Photochemistry Fundamentals and Applications and Photochemistry Lab
CHME 5683 Introduction to Polymer Science
CHME 5699 Special Topics in Chemical Engineering (BioMEM Systems)
CHME 5699 Special Topics in Chemical Engineering (Carbon Capture Storage andUtilization)
CHME 7340 Chemical Engineering Kinetics
EECE 5606 Micro- and Nanofabrication
EECE 5608 Magnetic Materials for Next-Generation Electronics
EECE 5612 Statistical Inference: An Introduction for Engineers and Data Analysts
EECE 5644 Introduction to Machine Learning and Pattern Recognition
EECE 5647 Nanophotonics
EECE 5649 Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology
EECE 5651 Introduction to Photonic Devices
EECE 5652 Microwave Circuits and Systems
EECE 5698 Special Topics in Electrical and Computer Engineering (BiomedicalMicrosystems)
EECE 5698 Special Topics in Electrical and Computer Engineering (Introduction to Quantum Engineering)
EECE 7201 Solid State Devices
EECE 7240 and EECE 7248 Analog Integrated Circuit Design and Lab for EECE 7240
EECE 7244 or ME 6260 Introduction to Microelectromechanical Systems (MEMS)
EECE 7245 Microwave Circuit Design for Wireless Communication
EECE 7247 Radio Frequency Integrated Circuit Design
EECE 7250 Power Management Integrated Circuits
EECE 7296 Electronic Materials
EECE 7353 VLSI Design
EECE 7368 High-Level Design of Hardware-Software Systems
EECE 7398 Advanced Special Topics in Electrical and Computer Engineering (Advanced Radio Frequency Passive Tech)
EECE 7398 Advanced Special Topics in Electrical and Computer Engineering (Low Power Integrated Circuits Design)
IE 5617 Lean Concepts and Applications
IE 5137 Computational Modeling in Industrial Engineering
IE 6200 Engineering Probability and Statistics
IE 6300 Manufacturing Systems Design
IE 6700 Data Management for Analytics
IE 7200 Supply Chain Engineering
IE 7270 Intelligent Manufacturing
IE 7280 Statistical Methods in Engineering
IE 7285 Statistical Quality Control
IE 7290 Reliability Analysis and Risk Assessment
MATL 6250 Soft Matter
MATL 6290 Course MATL 6290
MATL 7365 Properties and Processing of Electronic Materials
ME 5240 Computer Aided Design and Manufacturing
ME 5245 Mechatronic Systems
ME 5250 Robot Mechanics and Control
ME 5520 Fundamentals and Applications of Optics and Photonics
ME 5600 Materials Processing and Process Selection
ME 5620 Fundamentals of Advanced Materials
ME 5630 Nano- and Microscale Manufacturing
ME 5640 Additive Manufacturing
PHYS 5114 Physics and Applications of Quantum Materials
PHYS 5125 Advanced Quantum Mechanics
PHYS 5260 Introduction to Nanoscience and Nanotechnology
PHYS 5318 Principles of Experimental Physics
PHYS 5352 Quantum Computation and Information
Elective Courses in Innovation
A maximum of 4 semester hours may be taken from the following:
FINA 6309 Foundations of Accounting and Finance
GE 5010 Customer-Driven Technical Innovation for Engineers
GE 5020 Engineering Product Design Methodology
GE 5030 Iterative Product Prototyping for Engineers
GE 5100 Product Development for Engineers
HRMG 6200 Managing People and Organizations
HRMG 6230 Leading a Diverse and Inclusive Organization
HRMG 6280 Course HRMG 6280
INNO 6200 Enterprise Growth and Innovation
MGMT 6213 Managing Ethics in the Workplace and Marketplace
MGMT 6225 Course MGMT 6225
MGMT 6226 Sustainability and the Business Environment
MKTG 6200 Creating and Sustaining Customer Markets
FINA, HRMG, INNO, MGMT, and MKTG courses listed above are 3 semester hours, so students may take one additional 1 semester hour of courses from the list below for a total of 4 semester hours:
BUSN 6379 Entrepreneurial Ecosystems
BUSN 6389 Leading Global Virtual Innovation Teams
CHME 5976 Directed Study
ME 5976 Directed Study

* Please note: this curriculum is for marketing purposes only, and is subject to change.