Master of Science in Computer Engineering

2 Years On Campus Masters Program

University of Texas Dallas

Program Overview

The Master of Science in Computer Engineering at UT Dallas develops advanced expertise in hardware and software design, computer architecture, embedded systems and intelligent computing technologies. The program combines core engineering courses with specialized electives, allowing students to focus on areas such as applied machine learning, embedded systems and VLSI design.

Curriculum Structure

Year 1: Students establish advanced foundations through three core courses: Computer Architecture, Embedded Systems, and Applied Data Structures and Algorithms. They also begin exploring electives in areas such as machine learning, computer networks, digital systems and hardware design.

Year 2: Students specialize through advanced electives such as Machine Learning, Statistical Methods in AI and Machine Learning, VLSI Design, Design Automation of VLSI Systems and Multimodal Deep Learning. They complete the remaining degree requirements through additional electives and either a research thesis or the non-thesis pathway.

The degree requires 30 credit hours. The university offers Applied Machine Learning and Embedded and VLSI Systems focused tracks. The year-wise structure is indicative, not a fixed university-prescribed sequence.

Focus Areas

Computer architecture, embedded systems, applied machine learning, VLSI design, artificial intelligence, computer networks, cybersecurity, parallel processing, data science, hardware and software systems.

Learning Outcomes

Advanced hardware and software development, computer architecture design, algorithm development, embedded systems implementation, machine learning applications, VLSI system design, cybersecurity analysis, research and technical problem-solving.

Professional Alignment (Accreditation)

UT Dallas offers graduate-level specialization in computer engineering through its Erik Jonsson School of Engineering and Computer Science. ABET accreditation is specified for the university's undergraduate B.S. in Computer Engineering; separate ABET accreditation for this master's degree is not stated.

Reputation & Employability

Faculty Expertise: Students learn from experienced faculty with research and industry backgrounds.
Research Facilities: Access to specialized computer facilities, faculty laboratories and research infrastructure.
Industry Exposure: Its location in the Dallas region provides access to employers, internships and professional networking opportunities.
Rankings: A specific program-level graduate ranking is not stated in the official program fact sheet.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Texas at Dallas, the Master of Science in Computer Engineering program is designed to provide students with a robust blend of theoretical knowledge and practical skills. Students engage in hands-on learning experiences that prepare them for real-world challenges in the tech industry. The program emphasizes experiential learning through various facilities and tools that enhance the educational journey.

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

- State-of-the-Art Laboratories: Students have access to specialized labs, including the Embedded Systems Lab, VLSI Design Lab, and the Computer Networks Lab, where they can work on cutting-edge projects and research.

- Collaborative Projects: The curriculum includes group projects that encourage teamwork and problem-solving, allowing students to apply their knowledge 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.

- Research Institutes: Students can engage with research centers such as the Center for Intelligent Systems and the Cyber Security Research and Education Institute, where they can participate in innovative research projects.

- Digital Tools and Software: The program incorporates the use of advanced software tools such as MATLAB, Simulink, and various simulation tools that are essential for modern engineering practices.

- Field Trips and Industry Visits: Students often participate in field trips to local tech companies and research facilities, giving them insights into the industry and potential career paths.

- Access to Libraries and Resources: The university's libraries provide extensive resources, including access to technical journals, databases, and study spaces that support research and learning.

Progression & Future Opportunities

The Master of Science in Computer Engineering at the University of Texas Dallas equips graduates with the skills and knowledge needed to excel in a rapidly evolving tech landscape. Alumni often find themselves in high-demand roles such as Software Engineer, Systems Architect, and Data Scientist. With a strong foundation in both theoretical and practical aspects of computer engineering, graduates are well-prepared to tackle complex challenges in various industries:

- University Services for Employment: The Career Center offers personalized career counseling, resume workshops, and interview preparation sessions. Additionally, the Engineering Career Fair connects students directly with top employers in the tech industry.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates secure employment within six months of graduation, with starting salaries averaging around $100,000 per year, depending on the role and location.

- University–Industry Partnerships: UTD has established partnerships with leading companies such as Texas Instruments, Raytheon, and Cisco, providing students with internship opportunities and real-world project experiences that enhance their learning.

- Long-term Accreditation Value: The program is accredited by the Accreditation Board for Engineering and Technology (ABET), ensuring that the education you receive meets the highest standards and is recognized globally.

- Graduation Outcomes: Graduates of the program have gone on to work at prestigious organizations, contributing to innovative projects and advancing their careers in technology.

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. This advanced degree can open doors to academic positions, research opportunities, and leadership roles in technology development. Additionally, graduates may choose to specialize further by obtaining certifications in areas such as cybersecurity, artificial intelligence, or data analytics, enhancing their expertise and marketability in the job market.