University of Arizona

What you'll study

The Computer Engineering degree integrates foundations in mathematics, physics and electrical engineering with core computer engineering topics. Early years focus on calculus, differential equations, physics, digital logic and programming to establish analytical and computational skills. Progression includes circuit theory, electronics, signals and systems, microprocessor systems, digital system design, computer architecture and operating systems.

Typical modules and learning experiences include:

• Calculus and linear algebra for engineers
• Physics for engineers (mechanics, electromagnetism)
• Digital logic design and HDL (hardware description languages)
• Analog and digital electronics, semiconductor device basics
• Microprocessors and embedded systems programming
• Computer architecture and organisation
• Signals and systems, control fundamentals
• Software engineering principles and data structures
• Laboratory coursework with hands‑on PCB, FPGA and microcontroller projects
• Senior capstone or design project emphasising system integration, design trade‑offs and team work
• Technical electives such as VLSI design, wireless communications, robotics, machine learning for embedded devices or cybersecurity for embedded systems

The programme balances lectures, problem sets and laboratory work; students commonly undertake multi‑semester design projects and have opportunities for undergraduate research and industry internships.

Entry requirements

Applicants should hold a secondary school qualification with strong performance in mathematics (including calculus where available) and physics. Admissions typically look for a strong overall academic record and demonstrated ability in quantitative subjects. Preparatory coursework or qualifications commonly expected include:

• Advanced mathematics coursework (calculus and algebra)
• Physics with laboratory experience
• Experience with programming is advantageous but not always required

The University reviews applications holistically; additional criteria may include personal statements, recommendation letters, and evidence of relevant extracurricular activities such as robotics, coding competitions or engineering clubs. Transfer applicants normally need college‑level STEM coursework and a competitive GPA. International applicants must meet English language proficiency requirements.

Career prospects

Graduates are prepared for roles that bridge hardware and software. Common career paths include:

• Hardware design engineer (digital/analog circuit design, PCB design)
• Embedded systems and firmware engineer
• FPGA and ASIC developer
• Systems engineer and integration specialist
• IoT engineer and robotics developer
• Semiconductor industry roles (testing, process integration, device engineering)
• Software engineer roles that require understanding of low‑level systems
• Further study at graduate level (master’s or PhD) in electrical/computer engineering, computer science or related fields

Graduates commonly work in consumer electronics, aerospace and defence, telecommunications, automotive, medical devices, and the regional semiconductor and technology industries. Cooperative education, internships and research projects performed during the degree help build practical experience sought by employers.

Why study at University of Arizona

The University of Arizona offers a College of Engineering environment with hands‑on laboratory facilities, design courses and opportunities for undergraduate research with faculty. The university’s engineering programmes emphasise experiential learning through labs, capstone design and industry partnerships, enabling students to apply theory to real devices and systems.

Students benefit from connections to a broad regional technology ecosystem, opportunities for internships with local and national employers, and access to campus resources such as engineering student organisations, makerspaces and career services. Faculty research areas often span microelectronics, embedded systems, communications and robotics, creating pathways from undergraduate study into specialised research or industry roles.