About The Program

What is the PhD Program?

The doctor of philosophy (PhD) in electrical and computer engineering is an advanced research degree focused on generating novel contributions to the electrical and computer engineering domain. Candidates undertake rigorous theoretical and experimental work, culminating in a high-quality, defensible thesis. Initial admission to the MSc program provides a structured pathway, requiring prescribed graduate-level coursework to validate comprehensive disciplinary proficiency prior to formal PhD candidacy.

Why Choose This Program?

PhD in electrical and computer engineering is for those passionate about pushing the boundaries of technology through original, independent research. It provides the specialized knowledge and skills needed for leadership roles in academia and high-level R&D in industry, driving innovation in fields like AI, quantum computing, and sustainable energy.

Application Deadlines

Fall term
  • International students: May 1
  • Domestic students: June 1
Winter term
  • International students: August 1
  • Domestic students: September 1

Program Information

Degree

Doctor of Philosophy (PhD) in Electrical and Computer Engineering

Specializations

  • AI, Robotics and Machine Learning
  • Biomedical Engineering
  • Communications
  • Computer Engineering
  • Control Systems
  • Electromagnetics and Microwaves
  • Energy Systems
  • Integrated Circuit and Systems
  • Microsystems and Nanodevices
  • Photonics and Plasmas
  • Signal and Image Processing
  • Software Engineering and Intelligent Systems
  • Solid-State Electronics

Intense, independent research

Students complete independent research push the field forwards.

4-6 years

Complete the program in 4-6 years.

High earning career paths

in academia, research and industry

Program Objectives

  • Complete independent and original research: To develop the student’s capacity to identify significant research problems, design and execute novel investigations and generate publishable results that contribute new knowledge to the electrical and computer engineering discipline.
  • Cultivate deep specialized knowledge: To provide students with a comprehensive and advanced understanding of a chosen electrical and computer engineering specialization, encompassing foundational theories, current challenges and emerging trends.
  • Develop advanced analytical and problem-solving skills: To equip students with the ability to critically analyze complex engineering challenges, synthesize information and develop innovative, theoretically sound and practically viable solutions.
  • Prepare for leadership roles in research and development: To train future leaders who can guide research initiatives, manage complex projects and drive technological innovation in academic, industrial, or governmental settings.
  • Communicate effectively: To enable students to effectively communicate complex research findings through high-quality written dissertations, peer-reviewed publications and compelling oral presentations to diverse audiences.
  • Understand ethical considerations: To ensure students understand and adhere to the highest standards of research integrity, professional ethics and responsible conduct in engineering and scientific inquiry.

Learning Outcomes

  1. Gain specialized knowledge: Demonstrate a comprehensive and profound understanding of a specialized subfield within electrical and computer engineering, encompassing current theories and research frontiers.
  2. Conduct innovative research: Independently conceptualize, design and execute original research that significantly contributes new knowledge to the electrical and computer engineering discipline, as evidenced by a high-quality, defensible thesis.
  3. Apply knowledge: Apply advanced analytical, computational and experimental techniques to rigorously investigate complex engineering problems and generate innovative solutions.
  4. Develop critical thinking skills: Critically evaluate existing literature and research methodologies, identifying gaps and opportunities for novel inquiry.
  5. Communicate effectively: Effectively communicate complex research findings through scholarly publications, a comprehensive dissertation and clear oral presentations to both specialized and general audiences.
  6. Understand research ethics: Function as an independent, ethical and responsible researcher, upholding the highest standards of academic integrity and professional conduct in all scholarly activities.
  7. Gain leadership skills: Exhibit the potential for leadership in research and development settings, capable of guiding scientific inquiry and driving technological advancements.

Careers

  • Software/Hardware engineer
  • Postdoctoral researcher
  • Research scientist/Engineer
  • Algorithm developer/Architect
  • Systems architect/Engineer (complex systems)
  • Machine learning engineer
  • Data scientist
  • University professor

Course Highlights

This 6-hour Ethics and Academic Citizenship course provides foundational knowledge of ethical principles and relevant university policies, including: academic integrity, plagiarism, introduction to research ethics, conflict of interest, and workplace ethics and self-care. Master's students who have already completed the INT D 710 Ethics and Academic Citizenship course and pursue a second master's degree are not required to repeat the course.

Learn more about INT D 710 »

This 2-hour course provides advanced treatment of ethical principles, including: research and scholarship, intellectual property, academic citizenship, and ethical principles in university teaching. While this advanced course is only required for all Doctoral students, it is open to any graduate students who have already completed the INT D 710 Ethics and Academic Citizenship course, and who wish to participate in the advanced modules.

Learn more about INT D 720 »

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Connect with us

Advising hours are Monday to Friday, from 8:30 a.m. - 4 p.m.

Graduate Advisors (MEng and MSc): ecegadv@ualberta.ca

Graduate Admissions: engg.gradadm@ualberta.ca

MEng and MSc: eceadv@ualberta.ca
Graduate Admissions: engg.gradadm@ualberta.ca