Queen's School of Computing

Contact Us

For more information about the Bioinformatics program, please contact:

  • James Stewart
    Professor / Graduate Co-ordinator
    Office: Goodwin 732
    Phone: 613 533-3156
  • Qingling Duan
    Assistant Professor
    Office: Goodwin 531
    Phone: 613 533-2948

Transforming how health care is approached and delivered through big data is the goal of our two new professional programs: a graduate diploma and a master's in Biomedical Informatics.

Using a ladder approach, students can take the 4 month graduate diploma, with the option to continue on to complete a one-year masters. Skills to be gained in these programs will provide hands-on training in data science that will form the foundation for successful careers in health care and biomedical research. Given the current abundance of data, knowledge and experience in data analytics is in high demand among health care professionals and researchers. Whether you are interested in pursuing careers in genetics, pharmaceuticals, medicine, or biomedical research, understanding how to manipulate and use large datasets is essential for translating data into knowledge that will undoubted transform health care.

Offered in partnership with the Department of Biomedical and Molecular Sciences (DBMS), students will succeed through the hands-on and applied nature of the program. These programs are focused on training future data scientists who have a foundation in biology, life sciences, biochemistry, medical sciences and related disciplines in methods for database design and management, statistical analysis, data mining, and image analysis.

Graduate Diploma in Biomedical Informatics

The diploma consists of 4, 3-credit units including a final paper for CISC-897. The courses are:

  • CISC-897* (3 credit units) – Research Methods in Computer Science
  • BMIF-801* (3-credit units) – Programming Skills and Tools for Processing of Biomedical Data
  • BMIF-802* (3-credit units) – Biomedical Data Analysis
  • BMIF-803* (3-credit units) – Biomedical Data Mining and Applications

Master's in Biomedical Informatics (MBI)

Students in the Diploma program will be permitted to ladder coursework successfully completed within the Diploma program into the Professional Master’s program. The program will consist of:

  • The equivalent of 24 credit unit courses, including those from the Graduate Diploma Program (12CU) as well as advanced courses in computing, biology and health science.
  • CISC 898 Master’s Project (6CU). A biomedical informatics project is undertaken under the co-supervision of a member of the School and a member of the Faculty of Health Sciences. The presentation of a seminar to describe the project is required.
  • Two additional 3 credit unit courses from a list of elective courses presented below (total: 6CU).

Elective course options include:

  • BMIF-898 Master's Project
  • CISC-832 Data Base Management Systems
  • CISC-859 Pattern Recognition
  • CISC-873 Data Mining
  • CISC-881 Bioinformatics
  • CISC-886 Cloud Computing
  • BMED-809 Principle of Drug Discovery and Development
  • BMED-810 Protein Structure and Function
  • BMED-811 Advanced Molecular Biology
  • BMED-813 Advances in Neuropharmacology
  • BMED-815 Mechanistic Toxicology
  • BMED-854 Cardiovascular Sciences


Queen’s offers its students a perfect balance of engagement with rigorous academic programs and access to first class practitioners and learning facilities. Both the diploma and M.A. programs are cross-disciplinary -- taught by a combination of instructors from the School of Computing and the Faculty of Health Sciences.

Career paths – employment opportunities

  • Chief Information Officers (CIOs)
  • Chief Medical Information Officers (CMIOs)
  • Chief Medical Officers (CMOs)
  • Chief Nursing Information Officers (CNIOs)
  • Biomedical and clinical research, including the application of genomics and molecular biology
  • Clinical Informaticist
  • Consumer health and Public health
  • Imaging
  • Directors of Medical Informatics
  • Project managers & designers
  • Researchers
  • Programmers & analysts
  • Health information technology (HIT) educators, trainers, consultants
  • Medical / technical writers
  • Nursing informatics specialists
  • Account representatives

The following examples of the workplace environments for our graduates:

  • Academic institutions
  • Community health centers
  • Consultanting agencies
  • eHealth companiesHospitals and health systems
  • Physician practices and clinics
  • Health care agencies within federal and state government
  • Health information technology system vendors
  • Health insurance companies
  • Pharmaceutical companies

How to Apply

To be considered for admission to the Graduate Diploma or the MBI, an applicant must hold a minimum of a BSc (Honours) degree in biology, life sciences, biochemistry, medical sciences, computer science, biostatistics, engineering, and related disciplines, who are interested in designing and implementing quantitative and computational methods that solve challenging problems across the entire spectrum of biology and medicine, and who wish to develop the skills required for a range of exciting careers in medicine, research and development, or industry. The minimum acceptable average for admissions to these programs is B+ in the third and fourth years of the student’s undergraduate program (all courses considered). Students applying from outside of North America whose native language is not English are required to submit TOEFL scores. Although the program is aimed at recent graduates from undergraduate programs, applicants from professional programs such as medicine and nursing are also welcome.

Important Dates & Deadlines
Offer of Admissions to begin: February 1
Deadline to Apply (for both programs): April 1
Final Decisions will be Communicated: April 1

Biomedical Informatics Schedule Summer 2018

  • First day
    May 7 11:00-12:30 Welcome reception with lunch
    May 7 1:00- 4:00 first BMIF-801 class
  • BMIF-801 Programming Skills and Tools for Processing Biomedical Data
    Dr. Parvin Mousavi, instructor
    May 7, 1:00 to 4:00
    May 8 to May 25, weekdays 9:00am to 12:00noon, except May 21 (Victoria Day)
  • BMIF-802 Biomedical Data Analysis
    Dr. Shadi Khalifa, instructor
    May 28 to June 15, weekdays from 9:00am to 12:00noon
  • CISC-897 Research Methods
    Dr. Sherim Abdelhamid, instructor
    June 18 to July 6, weekdays from 9:00am to 12:00noon
  • BMIF-803 Data Mining and Applications
    Dr. Qingling Duan, instructor
    July 9 to July 27, weekdays from 9:00am to 12:00noon