Master of Science in Electrical and Computer Engineering

2 Years On Campus Masters Program

Miami University Oxford

Program Overview

Miami University's Master of Science in Electrical and Computer Engineering develops advanced technical expertise by combining electrical engineering, computer engineering, programming, and computational methods. The program integrates specialized graduate coursework with faculty-supervised research, preparing students to solve complex engineering challenges and pursue careers in advanced technology, robotics, communications, and intelligent systems.

Curriculum Structure

First Year: Students build a strong technical foundation through graduate courses in electrical and computer engineering, programming, and computer-based modelling. Relevant courses include ECE 511 – Sensors and Data Fusion with Robotics Applications, ECE 514 – Design and Modeling of Robotic Systems, and ECE 601 – State Variables for Engineers.

Second Year: Students advance their specialization through higher-level technical electives and complete their selected research pathway. Courses include ECE 597 – Electric Vehicle Technology, ECE 625 – Advanced Digital Signal Processing, and ECE 661 – Advanced Optical Network Architectures. Students in the thesis option complete master's thesis research, while non-thesis students undertake a faculty-supervised research project.

Note: The university does not prescribe a fixed year-wise course sequence. Students develop their study plans with a faculty adviser. The M.S. requires a minimum of 32 credit hours.

Focus Areas

Robotics and Automation, Sensors and Data Fusion, Electric Vehicle Technology, Digital Signal Processing, Optical Networks, Computational Modelling, Control Systems, Electrical and Computer Systems.

Learning Outcomes

Advanced engineering problem-solving, computer programming, computational modelling, robotic system design, sensor integration, electric vehicle technologies, digital signal processing, optical network development, independent research, and technical project execution.

Professional Alignment (Accreditation)

Research and Industry Relevance: The program combines advanced engineering coursework with faculty-supervised research, helping students develop practical technical and analytical skills. Specific professional accreditation for the M.S. program is not stated in the reviewed university information.

Reputation (Employability and Rankings)

Post-Graduation Success: Miami University reports a 100% post-graduation success rate in its program information.
Research Opportunities: Students can work with faculty advisers on research problems in electrical and computer engineering.

Experiential Learning (Research, Projects, Internships etc.)

At Miami University Oxford, the Master of Science in Computational Electrical and Computer Engineering program is designed to provide students with hands-on experiences that bridge the gap between theory and practice. Students engage in a variety of practical learning opportunities that enhance their technical skills and prepare them for real-world challenges. The program emphasizes collaboration, innovation, and the use of cutting-edge technology, ensuring that graduates are well-equipped to excel in their careers.

Here are some key aspects of experiential learning within the program:

- State-of-the-Art Laboratories: Students have access to specialized labs, including the Advanced Computing Lab and the Embedded Systems Lab, where they can work on projects involving hardware and software integration.

- Research Opportunities: Engage in faculty-led research projects that focus on areas such as machine learning, robotics, and signal processing. This hands-on research experience is invaluable for developing critical thinking and problem-solving skills.

- Internships and Co-ops: The program encourages students to participate in internships and cooperative education experiences with leading companies in the tech industry, providing real-world experience and networking opportunities.

- Group Projects: Collaborative projects are a core component of the curriculum, allowing students to work in teams to solve complex engineering problems, simulating a professional work environment.

- Software Tools: Students gain proficiency in industry-standard software such as MATLAB, Simulink, and various programming languages, which are essential for modern engineering tasks.

- Field Trips: The program includes field trips to local tech companies and research institutions, giving students insights into industry practices and emerging technologies.

- Access to Libraries and Resources: The Miami University Libraries provide extensive resources, including access to engineering databases, journals, and technical reports that support student research and learning.

- Institute for Electrical and Electronics Engineers (IEEE) Student Chapter: Join the local IEEE chapter to network with professionals, attend workshops, and participate in competitions that enhance your learning experience.

Progression & Future Opportunities

Pursuing an Master of Science in Computational Electrical and Computer Engineering at Miami University Oxford opens up a world of opportunities for graduates. With a strong emphasis on both theoretical knowledge and practical application, students are well-prepared for roles such as Software Engineer, Systems Architect, and Data Scientist. The program equips you with the skills needed to thrive in a rapidly evolving tech landscape:

- Career Services: Miami University offers robust career services, including resume workshops, interview preparation, and networking events that connect students with industry professionals.
- Employment Statistics: Graduates from this program have an impressive employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for graduates is around $85,000, reflecting the high demand for skilled professionals in this field.
- University–Industry Partnerships: Miami University has established partnerships with leading tech companies such as IBM and Intel, providing students with internship opportunities and real-world project experience that enhances their learning.
- Accreditation Value: The program is accredited by the Accreditation Board for Engineering and Technology (ABET), ensuring that your degree meets the highest standards of quality and is recognized by employers worldwide.
- Graduation Outcomes: Alumni of the program have gone on to work at top-tier companies and have reported high levels of job satisfaction, often advancing to leadership roles within their organizations.

Further Academic Progression: After completing your MS in Computational Electrical and Computer Engineering, you may choose to further your studies by pursuing a Ph.D. in Electrical Engineering or a related field. This advanced degree can open doors to academic positions, research opportunities, and specialized roles in cutting-edge technology sectors. Additionally, you could explore certifications in emerging areas such as artificial intelligence or cybersecurity to enhance your expertise and marketability.