Biomedical Engineering

Master of Science (MSc)

Thesis-based program

Program overview

The Biomedical Engineering Graduate Program MSc degree offers a focus on cutting-edge research that prepares graduates for work in industry, academia or government. Areas of application range from prevention and healthy aging to improved diagnostics, as well as technologies for better therapeutics. The degree is part of an interdisciplinary program aimed at students with backgrounds in areas such as engineering, kinesiology, physical sciences, medicine, or life sciences. Students gain hands-on experience at various active university and hospital-based research centres. Areas of study include biomechanics, medical imaging, cell and tissue engineering, as well as biomedical instrumentation.

Completing this program

  • BME Foundations Course: Students will study core concepts in biomedical engineering, selecting between a biology or engineering focus.
  • Additional Courses: May be chosen from across a wide range of faculties, in areas related to the student’s research topic, which may include medical imaging, biomechanics, cellular and molecular engineering, statistics, bioelectrical engineering, among others.
  • Thesis: Students are required to complete a research project and to submit a written thesis.
  • BME Core I and II Courses: May include biomedical engineering research, ethics, careers paths, research skills, methodology or other areas.
  • Medical Imaging Specialization: Requires three courses in Medical Imaging in addition to core program requirements.

Specializations

Medical Imaging

Outcomes

Research and development positions in industries such as medical devices and pharmaceuticals; patent law; governmental regulatory and healthcare agencies.

A master’s degree in biomedical engineering will give you the pre-requisite for a PhD.

Thesis-based program

Students are required to prepare a thesis and successfully defend in an open oral defense.

Classroom delivery

Time commitment

Two years full-time; four years maximum

Supervisor

A supervisor is required, and must agree to oversee the student's research and fund the student before the student will be granted admission

Fees and funding

See the Graduate Calendar for information on fees and fee regulations, and for information on awards and financial assistance.


Supervisors

Learn about faculty available to supervise this degree.
Please note: additional supervisors may be available. Contact the program for more information.


  1. Professor Roberto Souza

    Roberto Souza

    Accepting Inquiries
    Machine Learning and Deep Learning, Image Analysis, Inverse Problems, Data Fusion
  2. John Tyberg

    John Tyberg

    Accepting Inquiries
    The Reservoir-Wave Approach, Evaluation of Vasomotion, Ventricular-Arterial Coupling, Evaluation of the Systemic Circulation in Neonates, Pulmonary Hypertension
  3. Mark Ungrin

    Mark Ungrin

    Accepting Inquiries
    Microscale tissue engineering, Technology development
  4. Yingxu Wang

    Yingxu Wang

    Seeking Students
    Basic Studies in Emerging Sciences and Denotational Mathematics, Cognitive Robotics (CRs), Cognitive Informatics and Cognitive Computers, Deep Machine Learning and Cognitive Knowledge Learning, Denotational Mathematics for AI, Abstract Intelligence (aI), Computational Intelligence (CI), and Brain Informatics (BI), Big Data Algebra (BDA) for Data Science and Engineering Data Analytics, Brain Science: Formal Theories and Brain-Inspired Systems, Intelligence Science: Formal Theories and Cognitive Systems, Software Science: Theoretical Foundations of Software Engineering
  5. Svetlana Yanushkevich

    Svetlana Yanushkevich

    Accepting Inquiries
    biometric technologies, data analysis and pattern recognition, biometric system design, computational intelligence, image processing
  6. Yunyan Zhang

    Yunyan Zhang

    Accepting Inquiries
    Improving Disease Outcome Measures, Advancing Image Analysis Technologies, Enhancing MRI-Pathology Correlation

Admission Requirements


GPA

A minimum of 3.2 GPA on a 4.0 point system, over the past two years of full-time study (a minimum of 10 full-course equivalents or 60 units) of the undergraduate degree.

Minimum education

A four-year baccalaureate degree in engineering, science, kinesiology or equivalent, from a recognized institution.

Work samples

None

Documents

  • None

Reference letters

Two

Test scores

None

Supervision and Funding

Students can only be accepted upon identification of one or more approved Biomedical Graduate Engineering Program supervisors who are willing to supervise and fund the applicant. 


English language proficiency (ELP)

An applicant whose primary language is not English may fulfill the English language proficiency requirement in one of the following ways:

Deadlines

For admission on September 1:

  • Canadian and permanent resident (students with Canadian or U.S. transcripts)- apply by June 1 
  • International (students with international transcripts)- apply by March 1 

For admission on January 1:

  • Canadian and permanent resident (students with Canadian or U.S. transcripts)- apply by Oct. 1 
  • International (students with international transcripts)- apply by July. 1

For admission on May 1:

  • Canadian and permanent resident (students with Canadian or U.S. transcripts)- apply by Feb. 1 
  • International (students with international transcripts)- apply by Nov. 1

If you're not a Canadian or permanent resident, or if you have international credentials, make sure to learn about international requirements

Learn more about this program

Biomedical Engineering

Schulich School of Engineering, Calgary Centre for Innovative Technology (CCIT) building, Office CCIT 012
2500 University Drive NW
Calgary, ABT2N 1N4
403.220.3835

Contact the Graduate Program Administrator

Visit the departmental website

Schulich School of Engineering

University of Calgary
2500 University Drive NW
Calgary, AB, T2N 1N4

Visit the Schulich School of Engineering website