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Advance your computing knowledge and skills with the option to take elective courses in electrical engineering and information systems. Specialize in areas such as:

• Compiler design & machine learning
• Advanced computer architecture
• Advanced algorithms & artificial intelligence
• Distributed operating systems
• Computer systems security
• Formal system design
• Parallel programming

CREDIT HOURS:
31 credit hours 

CHOOSE A DEGREE TRACK BASED ON YOUR CAREER GOALS:

• Coursework

• Project

• Thesis

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Improve your marketability with a master's in electrical engineering. Specialize in areas such as:

• Electrical power systems & digital circuit design
• Advanced electromagnetics
• Sensor design & communication systems
• Signal processing 
• Very-large-scale integrated circuits (VLSI)
• Real-Time systems
• Circuit testing
• Image processing

CREDIT HOURS:
30 credit hours 

CHOOSE A DEGREE TRACK BASED ON YOUR CAREER GOALS:

• Coursework

• Project

• Thesis

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Gain the interdisciplinary knowledge of engineering and management that addresses analysis, design, implementation, operation, maintenance, and retirement of systems. These processes involve modeling and analyzing systems using: 

• Model-based Systems Engineering (MBSE)
• Systems optimization and simulation
• Utility Theory (modeling worth or value for strategic decisions)
• Design for feasibility and sustainability concepts
• Risk management and mitigation techniques
• Verification/validation/evaluation approaches

CREDIT HOURS:
30 credit hours 

PREPARES STUDENTS FOR PROFESSIONAL CERTIFICATES:

•  & 

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Become an expert in integrating electrical engineering with computer science. Advancing knowledge in computer architecture, digital processing, very large-scale integrated circuits, and advanced algorithms. Specialize in areas such as:

• Embedded systems & coding theory
• Communications circuits and wireless systems
• Artificial intelligence and machine learning
• Parallel programming and architecture
• System design and compiler design
• Signal and image processing

CREDIT HOURS:
30 credit hours 

CHOOSE A DEGREE TRACK BASED ON YOUR CAREER GOALS:

• Coursework

• Project

• Thesis

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Advance your knowledge and skills in programming, computational statistics, mathematics, and communication.  Specialize in areas such as:

• Artificial intelligence and machine learning
• Population health and data analytics
• Strategic communication
• Data visualization and storytelling
• Data science algorithms
• Applied and advanced statistics
• Cloud computing

CREDIT HOURS:
33 credit hours 

INTERDISCIPLINARY PROGRAM:

• College of Engineering, Applied Science & Technology

• College of Science

• College of Arts & Humanities

• School of Business & Economics

• College of Health Professions

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Gain the skills and knowledge necessary to understand the concepts of business intelligence, data analytics, and data science. Learn to interpret the tools and techniques related to prescriptive, descriptive, and predictive analytics.  Topics include:

• Data Management and storage.
• Computational algorithms and data science investigations.
• Advanced methodologies in applied machine learning, data mining, and visualization concepts.
• Deep learning theory on face recognition, speech synthesis and recognition, object detection, and robotics.
• Modern cloud and distributed computing paradigms and tools.

CREDIT HOURS:
12 credit hours 

REQUIRED COURSES:

• CS 6570 - Data Science Algorithms I
• CS 6580 - Data Science Algorithms II
• CS 6600 - Machine Learning
• Take one of the following:
  • CS 6700 - Deep Learning Theory
  • CS 6705 - Applied Cloud Computing

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Earning this certificate is a launching point for gainful employment in the aerospace/manufacturing workplace, professional certification within the International Council of Systems Engineering (INCOSE), and continuing education toward a Master of Science in Systems Engineering.  Topics include:

• Foundations of Systems Engineering 
• Applying Engineering Economics to make strategic decisions
• Recognizing the importance of sustainable systems, that include the world of human activities, desires, and life
• Methods and tools for planning and managing complex product and system development projects

CREDIT HOURS:
12 credit hours

REQUIRED COURSES:

• SE 6010 - Foundation of Systems Engineering
• SE 6370 - Requirement Engineering
• SE 6380 - Model-Based Systems Engineering (MBSE) and SysML
• Take one of the following:
  • SE 6130 - Overview of Systems Engineering Processes
  • SE 6260 - Reliability Engineering and Risk Analysis 

 

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The Post Baccalaureate Certificate in Autonomous Vehicle Software prepares individuals to write software for autonomous vehicles. Students will be trained in advanced software theory and practical application involving machine learning, advanced artificial intelligence, routing, and navigation of autonomous vehicles. 

Topics include:

• Data Management and storage.
• Advanced methodologies in applied machine learning, data mining, and visualization concepts.
• Deep learning theory on face recognition, speech synthesis and recognition, object detection, and robotics.
• Modern cloud and distributed computing paradigms and tools.

CREDIT HOURS:
12-13 credit hours

REQUIRED COURSES (6 CREDITS):

• CS 6500 - Advanced Artificial Intelligence
• CS 6600 - Machine Learning

COMPUTER SCIENCE TRACK (6 CREDITS):

• CS 6300 - Route Planning and Navigation and
• CS 6200 - The Internet of Things or
• CS 6420 - Advanced Algorithms or
• CS 6700 - Deep Learning Theory or
• CS 6705 - Applied Cloud Computing or
• CS 6740 - Computer Systems Security 

COMPUTER ENGINEERING TRACK (7 CREDITS):

• ECE 6220 - Image Processing 
• ECE 6730 - Robotics 

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