University of Ottawa

Overview

The Biomedical Engineering – Bioinformatics Master of Applied Science (M.A.Sc.) program at the University of Ottawa uniquely merges biomedical engineering with computational biology. This interdisciplinary course equips students to analyze complex health data and contribute to groundbreaking medical innovations. The curriculum emphasizes research, drawing on knowledge from engineering, medicine, and data science, and is designed to enhance students' analytical and problem-solving skills in the healthcare sector.

What you'll study

Typical curriculum components

• Core graduate-level courses in biomedical engineering and bioinformatics
• Specialized subjects such as biomedical instrumentation, biological signals, and medical imaging
• Medical informatics and telemedicine to facilitate data-driven healthcare solutions
• Research-oriented work aligned with your thesis or capstone project

Example course topics (subject to availability)

• Biomedical Instrumentation
• Biological Signals
• Medical Image Processing
• Medical Imaging Principles and Technology
• Wavelet Applications in Biomedical Image Processing
• Biomechanics and Biomaterials
• Medical Informatics and Telemedicine
• Clinical Engineering
• Biomedical Engineering
• Policy Analysis
• Biofluid Mechanics
• Ergonomics and Design

Research component

• The program requires a thesis-based research component, with specific requirements determined by your supervisor and approved study plan.

Entry requirements

Specific GRE or GMAT score requirements for this program have not been established. However, prospective students should check with the admissions office for any updates or additional requirements.

English language requirements

• TOEFL iBT: Minimum score of 92
• PTE Academic: Minimum score of 60
• IELTS: Minimum overall band score of 6.5

Career prospects

Graduates of the Biomedical Engineering – Bioinformatics program are well-prepared for diverse career paths in various sectors, including healthcare, biotechnology, and research. Potential roles include biomedical engineer, data analyst in healthcare, clinical engineer, and roles in medical device development. The interdisciplinary nature of the program fosters innovation, making graduates valuable assets in the evolving field of medical technology and data analysis.