University of Virginia

What you'll study

This programme combines core electrical engineering fundamentals with focused study in communications, signal processing and electronics. Early years emphasise mathematics, physics and introductory engineering principles: single and multi‑variable calculus, linear algebra, differential equations, introductory programming, classical physics and basic circuit theory. Core electrical engineering modules typically include:

• Circuits and Electronics — analysis of linear circuits, semiconductor devices and basic analog design
• Digital Systems and Logic Design — Boolean algebra, digital circuits, microprocessor fundamentals and hardware description languages
• Signals and Systems — continuous and discrete‑time signals, Fourier analysis and system response
• Electromagnetics — fields, waves, transmission lines and antenna fundamentals
• Communications Engineering — modulation, coding, information theory basics and wireless communications principles
• Digital Signal Processing — sampling, filtering, spectral analysis and implementation techniques
• Control Systems and Feedback — modelling, stability and controller design
• Laboratory and Design Projects — hands‑on labs in electronics, RF, communications and embedded systems, culminating in a capstone team design project

Students also choose from electives that may cover advanced wireless systems, networked communications, RF circuit design, photonics, machine learning for signal processing, and semiconductor device physics. The curriculum integrates laboratory work, software tools (for example MATLAB and hardware description environments) and project‑based learning, and students are encouraged to take interdisciplinary modules and research opportunities across computer science, applied mathematics and systems engineering.

Entry requirements

Applicants should demonstrate strong achievement in secondary school mathematics (including calculus where available) and physics. Successful candidates typically present a solid record in science and mathematics, strong academic references, and evidence of analytical problem‑solving ability. For international applicants, equivalent qualifications in mathematics and physics are expected along with proof of English proficiency where required.

Transfer applicants are assessed on college‑level coursework in calculus, physics and introductory engineering or computer science; entry may depend on available places and completed prerequisite units. The University’s undergraduate admissions process is holistic, so personal statements, extracurricular activities (particularly in STEM, robotics or electronics), and recommendation letters are also considered.

Career prospects

Graduates with a degree in Electrical, Electronics, and Communications Engineering move into a range of technical and professional roles. Typical career paths include:

• Communications and network engineer working on cellular, satellite or fibre‑optic systems
• RF and antenna engineer designing wireless hardware and test systems
• Embedded systems developer and hardware engineer for IoT and consumer electronics
• Signal processing engineer in audio, image, radar or biomedical applications
• Systems engineer, test and validation engineer, or technical consultant in defence, aerospace and telecommunications firms
• Research and development roles or postgraduate study (master’s or PhD) in engineering and related fields

The programme’s laboratory and capstone projects, together with career services and industry engagement at the University, help students build practical experience and professional contacts leading into internships and graduate employment.

Why study at University of Virginia

The University of Virginia offers this programme within an engineering school that emphasises both rigorous fundamentals and experiential learning. Students benefit from modern teaching laboratories, access to research groups working in communications, signal processing and microelectronics, and opportunities to collaborate with faculty on sponsored projects. Interdisciplinary links with computer science, data science and applied physics expand learning and research choices.

Beyond academics, the University’s industry partnerships and active career services support internships and employer connections, while entrepreneurship initiatives and student engineering societies provide avenues to develop prototype projects and leadership skills. The campus environment and alumni network offer additional support as students transition into technical careers or further study.