GE ACE Program
Since 1966, the University of Cincinnati has partnered with GE to offer special graduate degree programs for GE employees.
The GE Advanced Course in Engineering (GE ACE) gives eligible GE employees the opportunity to earn a non-thesis master's degree from UC.
Available GE ACE Degree Programs at UC
Students can select from the following programs:
- MS in Aerospace Engineering
- MS in Electrical Engineering
- MS in Mechanical Engineering
- MS in Materials Science and Engineering
- MEng in Artificial Intelligence
Degree Requirements for Non-Thesis MEng
- 12 credits: A&B coursework
- 15 credits
- 9 credits required courses
- CS 6033 Artificial Intelligence
- EECE 6036 Intelligent Systems
- CS 6073 Deep Learning
- 6 credits electives, choose from:
- CS 6037 Machine Learning
- CS 6054 Information Retrieval
- CS 6101 Applied AI and ML Tools
- CS 6078 Generative AI
- EECE 6064 Applied Generative AI
- AEEM 6097 Soft Computing Based AI
- MECH 6078 Intro to Industrial AI
- EECE 7095 Complex Systems & Networks
- 9 credits required courses
- 3 credits
- MEng Capstone (EECE 9060) for 3 credits doing a project at GE
- Additional 6000+ level course from CEAS can replace project requirement
Degree Requirements for Non-Thesis MS
A minimum of 30 credits hours are required for the MS non thesis degree:
- 12 hours are transferred to UC for your "A" and "B" courses.
- 18 hours at 6000 level or higher are required to be taken at UC
- 9 credits in students applicable program or an approved substitute
- 3 Math credits (For Mechanical & Aerospace only) or an approved substitute*; other programs select an approved GE graduate level course
- 3 credit hours any CEAS engineering course**
- 3 credits MS Project or an additional CEAS engineering course**
(*Graduate courses with MATH designation and engineering courses listed below)
(**Approved courses include any technical graduate level course from CEAS, excludes ENGR courses. If a student wishes to use an ENGR course, they need to complete an “official change form“ which is first signed by the GE coordinator. Every student must have at least 2 courses (6 credits) in the discipline of their degree.
Aerospace Accepted Math Classes:
MATH6006 Numerical Analysis
MATH6008 Applied Probability and Stochastic Processes
MATH6012 Applied Linear Algebra
MATH6051 Applied Ordinary Differential Equations
MATH6007 PDE and Fourier Analysis
MATH6015 Mathematical Programming
AEEM6015 Modern Control
AEEM6022 Optimal Control
AEEM7074 Advanced Finite Element Method
BANA6035 Simulation Modeling
BANA7031 Probability Models
BANA7041 Statistical Methods
BE7061 Biostatistics in Research
BE7088 Regression Analysis
EECE6024 Introduction to Digital Signal Processing
EECE6043 Optimization Methods & Models
EGFD7051 Numerical Methods in Aero Fluid Mechanics
MECH6011 Computational Design
MECH6060 Applied Fast Fourier Transforms
MECH6078 Big Data Analytics
MECH7054 Boundary Element Methods
MECH7062 System Dynamic Analysis
MECH7090 Conduction Heat Transfer
PHYS7001 Mathematical Physics
STAT6021 Mathematical Statistics 1
STAT6031 Applied Statistics 1
Mechanical Accepted Math Classes:
AEEM 6096 Fuzzy Control Systems
BANA 7030 Simulation Modeling and Methods
EECE 6036 Intelligent Systems
CS 6033 Artificial Intelligence
EECE 6047/7047 Dynamic Optimization
CS 6035 Learning Probabilistic Models
EECE 7033 Linear Systems Theory
EECE 6019 Probability and Random Processes
EECE 7065 Complex Systems and Networks
EECE 6024 Intro. to Digital Signal Processing
AEEM 6117 Intelligent Robotics
EECE 6036 Intelligent Systems
BME 7061 Biostatistics in Research
EGFD 6037 CFD
EGFD 7051 Numerical Methods for Aerospace Fluid Mech
MECH 6032 Robot Control and Design
MECH 6060 AFFT
MECH 6063 Rotating System Vib.
MECH 7002 Reliability Engineering
MECH 7020 Intelligent and Autonomous Mobile Robots
MECH 7011 Math Methods for Decision Making
MECH 7012 Elasticity I
MECH 7020 Intelligent and Autonomous Mobile Robots
MECH 7051 Continuum Mechanics
STAT 6031 Applied Statistics I
STAT 6041 Time Series
MECH 6004 Monte Carlo Meth
MECH 6012 Design Optimization
MECH 6078 Introduction to Industrial Big Data
Not all classes are offered every year.
Fall
AEEM 6015 Modern Control
AEEM 6011 Combustion
AEEM 6041 Compressible Flow and Thermodynamics
AEEM 6061 Sustainable Liquid Hydrogen Power Systems
AEEM 7035 Physics of Gases
AEEM 8030 Advanced Propulsion
EGFD 7041 Viscous Flow and Heat Transfer
EGFD 7051 Numerical Methods for Aerospace Fluid Mechanics
Spring (expected)
AEEM 6012 Gas Turbine Combuston
AEEM 6036 Spacecraft Dynamics
AEEM 6042 Adv. Topics in Air Vehicle Propulsion
AEEM 6074 Thermal Radiation
AEEM 6078 Turbulent Flow and Heat Transfer
AEEM 6092 Adv. Aircraft Performance
AEEM 6097 Soft Computing Based AI
AEEM 6117 Intelligent Robotics
AEEM 7046 CFD Code Writing Workshop
AEEM 7065 Aeroacoustics I
AEEM 7074 Adv. Finite Element Method
Fall:
EECE 6007 Biomedical Microsystems
EECE 6008 Fundamentals of MEMS
EECE 6016C Electric Machines and Drives
EECE 6018 Microfabrication of Semiconductor Devices
EECE 6019 Probability and Random Processes
EECE 6021 Haptics and Collaborative Robotics
EECE 6024 Introduction to Digital Signal Processing
EECE 6029 Distributed Operating Systems & Algorithms
EECE 6030 Trust in Digital Hardware
EECE 6032 Software Testing and Quality Assurance
EECE 6036 Intelligent Systems
EECE 6042 Digital Image Processing
EECE 6044C Introduction to Mechatronics
EECE 6046 Principles & Practices of Evolutionary Computing
EECE 6048C Optics for Engineers
EECE 6053 2D/3D Printing Technologies for Electronics/Optoelectronics
EECE 6055 Power System Protection
EECE 6062C Solar PV System Fundamentals
EECE 6064 Applied Generative AI
EECE 6066 Mathematical Foundations of Quantum Information Theory
EECE 6080C Introduction to VLSI Design
EECE 6088 Nanoelectronic Devices for VLSI Technologies
Spring (tentative):
EECE 6006C Biomedical Instrumentation
EECE 6015C Instrumentation & Industrial Control
EECE 6023C Security & Trust for Cyberphysical Systems
EECE 6025 Power Electronics
EECE 6027 Digital Communication Systems
EECE 6028C Intelligent Machine Design
EECE 6029 Distributed Operating Systems and Algorithms
EECE 6032 Software Testing and Quality Assurance
EECE 6041C Microfabrication Lab EECE 6044C Introduction to Mechatronics
EECE 6045 Introduction to Quantum Computing
EECE 6051 Introduction to Sensors
EECE 6057 Analog Integrated Circuits with CMOS Tech
EECE 6058 Introduction to Optoelectronics
EECE 6060 Introduction to Human-Robot Interaction
EECE 6064 Applied Generative AI
EECE 6086C VLSI Design Automation
EECE 7019 Bio-Inspired Robotics
EECE 7026 Biochips and Lab on a Chip
EECE 7031 Advanced MEMS Technologies
EECE 7032 Biosensors and Bioelectronics
EECE 7034 Intelligent Agents
EECE 7036 Neuromorphic Computing for AI
EECE 7065 Complex Systems & Networks
EECE 8080 Topics in VLSI Circuit and System Design
Fall
MTEN 6001 Prin. of Materials Science
MTEN 6005 Materials Thermodynamics
MTEN 6009 Materials Characterization
MTEN 6010 Physical Properties of Solids
MTEN 6013 Intro to Smart Structures
MTEN 6033 Intro to Polymers & Soft Materials
MTEN 7079 Defects in Solids
Spring (expected)
MTEN 6012C Nano Materials Engineering
MTEN 6015 Emerging Functional Materials
MTEN 6020 Kinetics of Material Processing
MTEN 6025C Polymer Processing
MTEN 6034 Physics of Polymer Proc
MTEN 6070 Phase Transitions
MTEN 6081 Modeling Materials
MTEN 6097 Mechanical Behavior of Materials
MTEN 7012C Scanning Electron Microscopy
MTEN 7048 Crystallography and Diffraction
Fall
MECH 6003 Intro to Nuclear Engineering
MECH 6013 Intro to Smart Structures
MECH 6031 Intro to Robotics
MECH 6050 Occupational Safety
MECH 6066 Acoustics
MECH 6074 Quality Control
MECH 6075 Production Planning & Control
MECH 6077 Micro & Nano Manufacturing
MECH 6079C Intro to Additive Manufac.
MECH 6089 Advanced Heat Transfer
MECH 6090 Renewable Energy Systems
MECH 7011 Math Meth for Decision making
MECH 7088 Design of Experiments
Spring (expected)
MECH 6024 Comp Methods in Add Mfg I
MECH 6032 Robot Control and Design
MECH 6045 Experimental Techniques in Fluid Mechanics
MECH 6051 Safety Engineering & Product Liability
MECH 6052 System Safety
MECH 6061 Mechanical Vibrations Computer App.
MECH 6069 Design for Manufacturing
MECH 6076 Supply Chain Management for Engineers
MECH 6078 Intro to Industrial AI
MECH 6081 Modeling Materials
MECH 6094 Solar Energy
MECH 6096 Internal Combustion Engines
MECH 7069 Nontrad. Manufacturing Processes
MECH 7080 Metal Additive Manufacturing
EGFD 7069 Computational Fluid Dynamics
How to Apply
- Complete and submit the University of Cincinnati Graduate School application
- To start in spring (January 2027), submit application for fall 2027 and email Julie Steimle to have application moved to spring 2027
- Select GE-ACE in “Special Programs” on the application
- Application fee is $75.00
- Required for the application process:
- Unofficial copy of your transcript-UC graduates can print an unofficial transcript from Catalyst
- One letter of recommendation: Use Julie Steimle (julie.steimle@uc.edu) as recommender
- E-mail Julie Steimle below once your application is complete
- Upon admission and prior to the start of your program, an official transcript that shows degree conferral must be submitted to the Graduate School in a sealed envelope or can be sent electronically from your BS institution.
- If you are a graduate of UC an official transcript is not required. (refer to Transcript Submission Policy at grad.uc.edu)
Questions? Contact:
Julie J Steimle
Assoc Dir Academic Student Advising, CEAS - Graduate Studies
895A Rhodes Hall