Master of Science in Computer Engineering

2 Years On Campus Masters Program

University of Texas at Arlington

Program Overview

The Master of Science in Computer Engineering at the University of Texas at Arlington develops advanced expertise in computer hardware, embedded systems, computer architecture, and intelligent computing technologies. Students gain practical engineering skills through specialized coursework in areas such as AI systems, real-time operating systems, IoT, and digital system design, preparing for careers in technology and advanced engineering.

Curriculum Structure

Year 1: Students establish core knowledge through courses such as Embedded Systems II (CSE 5342), Computer Architecture II (CSE 5350), and Advanced Digital Logic Design (CSE 5357). They also select a specialization in Computer Architecture, Embedded and Cyber-Physical Systems, or AI Systems and Architecture.

Year 2: Students deepen their expertise through advanced courses such as Parallel Processing (CSE 5351), Real-Time Operating Systems (CSE 5354), Artificial Intelligence I (CSE 5360), and Machine Learning (CSE 6363). Thesis students complete supervised research, while non-thesis students undertake additional advanced coursework.

Focus Areas

Computer Architecture, Embedded Systems, Cyber-Physical Systems, Artificial Intelligence, Machine Learning, IoT and Networking, Real-Time Operating Systems, Digital Systems Design, Robotics, GPU Architecture.

Learning Outcomes

Embedded system design, computer architecture development, FPGA implementation, real-time system development, AI applications, machine learning implementation, digital logic design, hardware–software integration, engineering experimentation and problem-solving.

Professional Alignment (Accreditation)

The College of Engineering states that its discipline-specific programs meet educational requirements for professional licensure or certification across U.S. states and territories.

Reputation (Employability)

Industry and research opportunities: UTA is recognized as a National Center of Academic Excellence in Cybersecurity. Students benefit from research opportunities in AI, high-performance computing, software engineering, and computer security. The university also highlights its connections with major technology and engineering employers across the Dallas–Fort Worth region.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Texas at Arlington, 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 Master of Science in Computer Engineering program:

- Research Laboratories: Students can engage in innovative research at facilities like the Smart Computing and Networking Lab and the Embedded Systems Lab, where they can work on projects that push the boundaries of technology.

- Internship Opportunities: The program encourages students to participate in internships with leading tech companies, providing invaluable industry 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 real-world work environments.

- 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.

- Digital Tools: Access to advanced digital tools and platforms for simulation and modeling enhances the learning experience, allowing students to experiment and innovate.

- Libraries and Resources: The UTA Libraries provide extensive resources, including access to technical journals, databases, and research materials that support students' academic and project work.

- Collaboration with Institutes: The program collaborates with various research institutes, providing students with opportunities to engage in interdisciplinary projects and gain exposure to cutting-edge research.

Progression & Future Opportunities

The Master of Science in Computer Engineering at the University of Texas at Arlington (UTA) 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.

Here’s what you can expect in terms of progression and future opportunities:

- University Services: UTA offers dedicated career services, including resume workshops, interview preparation, and networking events that connect students with industry professionals.
- Employment Stats and Salary Figures: According to recent data, over 90% of graduates from the College of Engineering secure employment within six months of graduation, with average starting salaries around $85,000.
- University–Industry Partnerships: UTA has established partnerships with leading tech companies such as Texas Instruments and Lockheed Martin, providing students with internship opportunities and real-world project experience.
- Long-term Accreditation Value: The program is accredited by the Accreditation Board for Engineering and Technology (ABET), ensuring that your degree meets the highest educational standards and is recognized globally.
- Graduation Outcomes: Graduates have gone on to work at top firms like Google, Amazon, and Microsoft, showcasing the program's strong reputation in the tech industry.

Further Academic Progression: After completing your Master of Science in Computer Engineering, you may choose to pursue a Ph.D. in Computer 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, UTA offers various certificate programs that allow you to further enhance your skills in areas such as cybersecurity, data analytics, and artificial intelligence.