The Master's in Biomedical Informatics program at Queen's University offers a unique opportunity to combine AI and Big Data with a career in healthcare. This program aims to transform how healthcare is approached and delivered. You will gain hands-on experience with tools like Python and R, machine learning, and medical imaging. The program can be started with a 4-month Graduate Diploma, with the option to extend to the 12-month Master's degree. It is designed for individuals interested in computational and quantitative methods applied to biomedical challenges.
The program is structured with a ladder approach. Students can complete a 4-month Graduate Diploma, then continue to a one-year Master's program.
Graduates are prepared for a variety of roles in healthcare, research, and the tech industry, leveraging their expertise in data science and computational methods.
Applicants must demonstrate a strong interest in computational and quantitative methods applied to biomedical problems. This program is open to both recent undergraduates and graduates of professional programs (e.g., medicine, nursing). International applicants must provide English language proficiency scores (if applicable) and obtain a valid study permit.
Refer to the University Registrar's website for the most up-to-date tuition and fee schedules.
Applicants need a BSc (Honours) in a related field such as biology, computer science, or engineering, with a minimum B+ average in their final two years of study. At least one academic reference is also required.
The total program duration, including the Graduate Diploma and the Master's degree, is 12 months. Students first complete a 4-month Graduate Diploma, then continue to the 12-month Master's program.
The application deadline for international applicants is December 1st for a program start in May (Graduate Diploma, followed by Master's).
Yes, BMIF Excellence Awards are offered annually to top-performing students in the program based on academic achievement. The specific amount is not specified.
Graduates are prepared for various roles in healthcare, research, and the tech industry, including Data Scientist, Bioinformatics Engineer, ML Consultant, and Research Associate. The program also prepares students for further studies like Ph.D. or medical school.