College of Engineering, Applied Science & Technology Graduate Programs
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Master's Degrees
Master of Science in Computer Engineering
30 Credit Hours
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
Master of Science in Computer Science
31 Credit Hours
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
Master of Science in Electrical Engineering
30 Credit Hours
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
Master of Science in Systems Engineering
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
Graduate Certificates
Autonomous Vehicle Software Certificate
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.
Computational Data Science & Machine Learning Certificate
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.
Model-Based Systems Engineering (MBSE) Certificate
MBSE is designed for professionals seeking to lead in digital engineering and complex system design. This certificate can be completed in just two consecutive semesters. Gain hands-on experience with industry-standard platforms like Dassault Magic System of Systems Architecture and common plugins.
- Developing, reading, creating, and interpreting SysML diagrams
- Architecture framework, methodology, and governance
- Utilize extensible MBSE tools plugins, toolkits, and automation for simulation and analysis
- Reflect on tools capabilities, limitations, and purpose for a variety of applications
- Industry-leading, tool-based competencies
Material Science & Engineering Certificate
Materials Science and Engineering is ideal for professionals interested in innovation through advanced materials, nanotechnology, and manufacturing. This certificate can be completed in just two consecutive semesters. Build a strong foundation in materials structure, properties, and characterization with the flexibility to explore specialized electives.
- Foundations of Materials Science and Engineering
- Understanding material structure-property relationships and their applications.
- Introduction to materials characterization techniques and data analysis.
- Choice of electives to focus on specific material specializations
Systems Engineering & Sustainable Engineering Certificate
The 100% online, industry-based graduate level certificate is an entry point into the systems community. Students will learn the foundations and practices that allow systems engineers to lead projects from concept to retirement. 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
Applicant Advising
The EAST Graduate Enrollment Advisor is here to guide you through the application process and answer general questions about program requirements.
Schedule a Pre-Admission Advising Appointment
For questions related to financial aid, international student visas, or other specialized topics, please contact the appropriate department for the most accurate information.
EAST no longer advises for the Master of Science in Data Science program. For questions regarding MSDS, please visit the MSDS website, and book an appointment with the appropriate advisor.