Master of Science in Computer Engineering

2 Years On Campus Masters Program

University of Arkansas

Program Overview

The Master of Science in Computer Engineering at the University of Arkansas develops advanced expertise in computer hardware, digital systems, and computing technologies. Students focus on hardware-oriented engineering coursework and can pursue independent research or advanced coursework, preparing for careers in computer systems, semiconductor technology, and engineering research.

Curriculum Structure

Year 1: Students establish advanced engineering foundations through graduate-level CSCE courses selected according to their interests and academic plan. They can explore subjects such as Computer Architecture, Computer System Design, High-Performance Computing, and Machine Learning, supported by faculty research in hardware and computing systems.

Year 2: Students deepen their specialization through advanced graduate coursework and independent research. Thesis students complete Master's Thesis (CSCE 6100V) and defend their research through an oral examination, while non-thesis students complete additional approved coursework and an oral examination.

Note: The thesis option requires 30 credit hours, including 24 coursework credits and at least 6 thesis credits. The coursework option requires 33 credit hours. The university does not prescribe a fixed year-wise course sequence.

Focus Areas

Computer Hardware and Systems, Computer Architecture, High-Performance Computing, Cybersecurity, Machine Learning, Computer Vision, Deep Learning, Big Data Analytics, Quantum Machine Learning, Computer-Aided Design.

Learning Outcomes

Computer hardware design, computer system analysis, advanced computational problem-solving, high-performance computing, machine learning applications, digital system development, cybersecurity principles, independent research, technical communication.

Professional Alignment (Accreditation)

The program offers thesis and coursework pathways with faculty-approved study plans. Specific professional accreditation for this master's program is not stated in the official catalog.

Reputation (Employability)

Research opportunities: The department supports research in cybersecurity, machine learning, quantum computing, computer vision, high-performance computing, and computer system design. Students benefit from faculty-led research and interdisciplinary engineering activities.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Arkansas, the Master of Science in Computer Engineering program is designed to provide students with hands-on experiences that bridge the gap between theoretical knowledge and practical application. Students have access to state-of-the-art facilities and cutting-edge tools that enhance their learning and prepare them for real-world challenges. The program emphasizes experiential learning through collaborative projects, internships, and research opportunities, ensuring that graduates are well-equipped to excel in their careers.

Here are some key aspects of experiential learning in the MS Computer Engineering program:

- Research Laboratories: Students can engage in innovative research at facilities like the Advanced Computing Research Laboratory and the Microelectronics-Photonics Research Center, where they can work on projects that push the boundaries of technology.

- Group Projects: The curriculum includes collaborative projects that encourage teamwork and problem-solving, allowing students to apply their skills in practical scenarios.

- Internship Opportunities: The program has strong ties with industry partners, providing students with internship opportunities that offer valuable work experience and networking possibilities.

- Digital Tools and Software: Students gain proficiency in industry-standard software and tools, including MATLAB, Python, and various simulation software, which are essential for modern engineering practices.

- Field Trips: The program often organizes visits to tech companies and research institutions, giving students insights into the latest industry trends and practices.

- Libraries and Resources: The University of Arkansas boasts extensive library resources, including access to specialized engineering databases and journals that support research and learning.

- Institutes and Centers: Students can benefit from the resources and expertise available at the Institute for Advanced Composites Manufacturing Innovation and the Center for Artificial Intelligence, which focus on cutting-edge research and development.

Progression & Future Opportunities

The Master of Science in Computer Engineering at the University of Arkansas prepares graduates for a dynamic career in technology, equipping them with the skills needed to excel in various roles such as Software Engineer, Systems Architect, and Network Engineer. Graduates from this program are highly sought after, with many finding positions in leading tech companies and innovative startups:

- Career Services: The university offers dedicated career services, including resume workshops, interview preparation, and job fairs that connect students with potential employers.
- Employment Statistics: Over 90% of graduates secure employment within six months of graduation, with starting salaries averaging around $85,000 per year.
- University–Industry Partnerships: The University of Arkansas has established partnerships with major companies like Walmart, Lockheed Martin, and IBM, providing students with internship opportunities and real-world project experience.
- Accreditation: The program is accredited by the Accreditation Board for Engineering and Technology (ABET), ensuring that your degree meets high educational standards and is recognized globally.
- Graduation Outcomes: Alumni have gone on to work at top-tier companies and have reported high job satisfaction and career advancement opportunities.

Further Academic Progression: After completing the MS in Computer Engineering, students have the option to pursue a Ph.D. in Computer Engineering or related fields, allowing for deeper specialization and research opportunities. This path can lead to careers in academia, advanced research positions, or leadership roles in technology development. Additionally, graduates may choose to obtain professional certifications in areas such as cybersecurity, data science, or cloud computing to further enhance their expertise and marketability in the job market.