University of Texas

USA
3 Scholarships 118 Programs 3 Degree levels

The Master of Science in Computer Engineering at the University of Texas develops advanced skills in hardware and software integration, embedded systems, digital design and computer architecture. It suits graduates with a background in electrical engineering, computer science or related fields who want to pursue technical leadership, research roles or specialised engineering positions in industry or academia.

What you'll study

The programme combines core topics in computer engineering with elective options that let you specialise. Typical coursework covers digital systems and computer architecture, embedded systems, VLSI design, real-time and operating systems, computer networks, and advanced topics in hardware-software co-design. Students also study applied mathematics for engineers, signal processing fundamentals relevant to hardware design, and verification and testing methods.

  • Core modules: computer architecture, digital logic and VLSI fundamentals, embedded systems design, operating systems for engineers.
  • Advanced electives: hardware description languages and FPGA development, systems-on-chip (SoC) design, machine learning for edge devices, advanced networked systems, cybersecurity for hardware and firmware.
  • Research and project work: a substantial capstone project or thesis is a central element; projects often involve prototype development, simulation and experimental evaluation, and may be sponsored by industry partners or aligned with faculty research groups.
  • Laboratory experience: hands-on labs with FPGA boards, microcontrollers, PCB prototyping, hardware debugging and embedded software toolchains.

Entry requirements

Applicants are normally expected to hold a recognised bachelor’s degree in electrical engineering, computer engineering, computer science or a closely related discipline. Strong quantitative preparation—courses in calculus, linear algebra and programming—is required. Relevant professional experience or prior research can strengthen an application for candidates with non-traditional backgrounds.

  • Academic transcripts demonstrating appropriate technical coursework and a solid academic record.
  • Letters of recommendation (typically two or three) from academic or professional referees who can speak to technical ability and potential for graduate study.
  • A statement of purpose outlining research or career objectives and fit with the programme.
  • Proof of English language proficiency for applicants whose first language is not English, in line with the university’s requirements.
  • Some applicants may be required to submit GRE scores where specified by the department; check the department page for current testing policies.

Career prospects

Graduates are prepared for roles that bridge hardware and software, including embedded systems engineer, FPGA/ASIC design engineer, systems architect, firmware developer, and hardware verification engineer. Career paths extend to telecommunications, semiconductor industry, automotive and aerospace systems, consumer electronics, robotics, and IoT companies. Those interested in research or teaching may continue to doctoral study or join research laboratories in industry or government.

  • Industry roles: design and development of processors, SoCs, embedded products, and networked systems.
  • Research and development: positions in corporate R&D labs, national laboratories, and research centres focused on next‑generation computing hardware.
  • Entrepreneurship and startups: technical founders and engineers working on hardware and edge-compute products.

Why study at University of Texas

The University of Texas offers extensive research facilities, well-equipped electronics and systems laboratories, and faculty active in areas such as computer architecture, embedded systems, hardware security and machine learning for edge devices. The programme emphasises close faculty supervision, opportunities for interdisciplinary collaboration, and project work with industry partners. Students benefit from a broad alumni network and connections to regional technology companies, which support internships and employment opportunities.

  • Strong research groups and lab facilities that support hands-on development and prototyping.
  • Access to industry collaborations and internship pipelines that translate academic projects into real-world applications.
  • Flexible curriculum pathways allowing either coursework-focused study with a project or a research-focused thesis route.

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Programme details are indicative and may change — always verify current information with the official university website before applying.