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Overview
The Master of Science in Bioinformatics is an interdisciplinary program that combines the application of computer technology to the management and analysis of biological data. The result is that computers are being used to organize data generated from experiments into databases, develop new algorithms and software, and use this software for the interpretation and analysis of the data into meaningful biological information. For the past ten years, our M.Sc. program has been training students to organize, visualize, analyze and interpret biological data. Students have access to world renowned bioinformaticians at the University of British Columbia, Simon Fraser University and the BC Cancer Agency, and have exposure to the latest technologies to develop their skills.
Strategic Program Objectives:
- To build on British Columbia's reputation and excellence in bioinformatics.
- To integrate bioinformatics into basic biology to further current research excellence in other life science sectors of the province.
- To foster collaborations locally, nationally and internationally.
What makes the program unique?
The Bioinformatics M.Sc. program integrates academic centres in computer science, statistics, molecular biology, and biotechnology, with translational groups at hospitals and at the clinical interface. The innovative partnership among the University of British Columbia, Simon Fraser University and the BC Cancer Agency allows students access to top experts in the field of bioinformatics, exposure to original research and opportunities to complete significant practical work on real bioinformatics problems. Internships allow student mobility between Canadian and international universities, institutions and industries to further enhance collaborations among Canadian high-technology research groups in both the private and public sectors. Students have done research in various locations over the years such as the International Rice Research Institute in the Philippines and Mexico, Howard Hughes Medical Institute in Moscow, European Bioinformatics Institute at Cambridge, National University of Singapore and the National Institute of Genetics in Japan.
Quick Facts
Program Enquiries
Contact the program
Admission Information & Requirements
Program Instructions
Students must secure a supervisor before they can be admitted into the program. As well, they must meet the minimum admission requirements set out by Graduate and Post-doctoral Studies at UBC.
1) Check Eligibility
Minimum Academic Requirements
The Faculty of Graduate and Postdoctoral Studies establishes the minimum admission requirements common to all applicants, usually a minimum overall average in the B+ range (76% at UBC). The graduate program that you are applying to may have additional requirements. Please review the specific requirements for applicants with credentials from institutions in:
Each program may set higher academic minimum requirements. Please review the program website carefully to understand the program requirements. Meeting the minimum requirements does not guarantee admission as it is a competitive process.
English Language Test
Applicants from a university outside Canada in which English is not the primary language of instruction must provide results of an English language proficiency examination as part of their application. Tests must have been taken within the last 24 months at the time of submission of your application.
Minimum requirements for the two most common English language proficiency tests to apply to this program are listed below:
TOEFL: Test of English as a Foreign Language - internet-based
Overall score requirement: 100
Reading
22
Writing
21
Speaking
21
Listening
22
IELTS: International English Language Testing System
Overall score requirement: 7.0
Reading
6.0
Writing
6.0
Speaking
6.0
Listening
6.0
Other Test Scores
Some programs require additional test scores such as the Graduate Record Examination (GRE) or the Graduate Management Test (GMAT). The requirements for this program are:
The GRE is not required.
Prior degree, course and other requirements
Prior Degree Requirements
Applicants must have a Life-Sciences degree, with significant experience in a quantitative science OR a Computer Science/Math/Engineering/Physics degree with significant experience in Life Sciences. Although work experience may be taken into consideration if the degree is outside these areas.
Document Requirements
CV, Official transcripts, three letters of reference, Official English exam scores (if required)
2) Meet Deadlines
September 2025 Intake
Application Open Date
14 April 2025Canadian Applicants
International Applicants
January 2026 Intake
Application Open Date
14 April 2025Canadian Applicants
International Applicants
3) Prepare Application
Transcripts
All applicants have to submit transcripts from all past post-secondary study. Document submission requirements depend on whether your institution of study is within Canada or outside of Canada.
Letters of Reference
A minimum of three references are required for application to graduate programs at UBC. References should be requested from individuals who are prepared to provide a report on your academic ability and qualifications.
Statement of Interest
Many programs require a statement of interest, sometimes called a "statement of intent", "description of research interests" or something similar.
Supervision
Students in research-based programs usually require a faculty member to function as their thesis supervisor. Please follow the instructions provided by each program whether applicants should contact faculty members.
Instructions regarding thesis supervisor contact for Master of Science in Bioinformatics (MSc)
Citizenship Verification
Permanent Residents of Canada must provide a clear photocopy of both sides of the Permanent Resident card.
4) Apply Online
All applicants must complete an online application form and pay the application fee to be considered for admission to UBC.
Research Information
Program Components
Students who secure an NSERC-CREATE scholarship will undertake a 3-4 month internship that may be local, within Canada or at an international University or Institution.
Research Facilities
Bioinformatics faculty are spread throughout the UBC campus, as well as off-campus at the BC Cancer Research Centre or hospital research labs and Institutions.
Tuition & Financial Support
Tuition
| Fees | Canadian Citizen / Permanent Resident / Refugee / Diplomat | International |
|---|---|---|
| Application Fee | $116.25 | $168.25 |
| Tuition * | ||
| Installments per year | 3 | 3 |
| Tuition per installment | $1,875.34 | $3,294.66 |
| Tuition per year (plus annual increase, usually 2%-5%) | $5,626.02 | $9,883.98 |
| Int. Tuition Award (ITA) per year (if eligible) | $3,200.00 (-) | |
| Other Fees and Costs | ||
| Student Fees (yearly) | $1,144.10 (approx.) | |
| Costs of living | Estimate your costs of living with our interactive tool in order to start developing a financial plan for your graduate studies. | |
All fees for the year are subject to adjustment and UBC reserves the right to change any fees without notice at any time, including tuition and student fees. Tuition fees are reviewed annually by the UBC Board of Governors. In recent years, tuition increases have been 2% for continuing domestic students and between 2% and 5% for continuing international students. New students may see higher increases in tuition. Admitted students who defer their admission are subject to the potentially higher tuition fees for incoming students effective at the later program start date. In case of a discrepancy between this webpage and the UBC Calendar, the UBC Calendar entry will be held to be correct.
Financial Support
Applicants to UBC have access to a variety of funding options, including merit-based (i.e. based on your academic performance) and need-based (i.e. based on your financial situation) opportunities.
Program Funding Packages
All students accepted by a faculty member and enrolled in the program will be paid a minimum stipend of $24,300/year.
Funding Statistics
This results in a net balance (any funding provided to the student minus tuition and fees) mean of $17,992 and median of $23,693.
- 5 students received Teaching Assistantships. Median TA funding based on 5 students was $5,980.
- 13 students received Research Assistantships. Median RA funding based on 13 students was $27,900.
- 2 students received Academic Assistantships. Median AA funding based on 2 students was $4,522.
- 5 students received internal awards. Median internal award funding based on 5 students was $1,500.
- 3 students received external awards. Median external award funding based on 3 students was $11,667.
Review methodology
Scholarships & awards (merit-based funding)
All applicants are encouraged to review the awards listing to identify potential opportunities to fund their graduate education. The database lists merit-based scholarships and awards and allows for filtering by various criteria, such as domestic vs. international or degree level.
Graduate Research Assistantships (GRA)
Many professors are able to provide Research Assistantships (GRA) from their research grants to support full-time graduate students studying under their supervision. The duties constitute part of the student's graduate degree requirements. A Graduate Research Assistantship is considered a form of fellowship for a period of graduate study and is therefore not covered by a collective agreement. Stipends vary widely, and are dependent on the field of study and the type of research grant from which the assistantship is being funded.
Graduate Teaching Assistantships (GTA)
Graduate programs may have Teaching Assistantships available for registered full-time graduate students. Full teaching assistantships involve 12 hours work per week in preparation, lecturing, or laboratory instruction although many graduate programs offer partial TA appointments at less than 12 hours per week. Teaching assistantship rates are set by collective bargaining between the University and the Teaching Assistants' Union.
Graduate Academic Assistantships (GAA)
Academic Assistantships are employment opportunities to perform work that is relevant to the university or to an individual faculty member, but not to support the student’s graduate research and thesis. Wages are considered regular earnings and when paid monthly, include vacation pay.
Financial aid (need-based funding)
Canadian and US applicants may qualify for governmental loans to finance their studies. Please review eligibility and types of loans.
All students may be able to access private sector or bank loans.
Foreign government scholarships
Many foreign governments provide support to their citizens in pursuing education abroad. International applicants should check the various governmental resources in their home country, such as the Department of Education, for available scholarships.
Working while studying
The possibility to pursue work to supplement income may depend on the demands the program has on students. It should be carefully weighed if work leads to prolonged program durations or whether work placements can be meaningfully embedded into a program.
International students enrolled as full-time students with a valid study permit can work on campus for unlimited hours and work off-campus for no more than 24 hours a week during academic sessions.
A good starting point to explore student jobs is the UBC Work Learn program or a Co-Op placement.
Tax credits and RRSP withdrawals
Students with taxable income in Canada may be able to claim federal or provincial tax credits.
Canadian residents with RRSP accounts may be able to use the Lifelong Learning Plan (LLP) which allows students to withdraw amounts from their registered retirement savings plan (RRSPs) to finance full-time training or education for themselves or their partner.
Please review Filing taxes in Canada on the student services website for more information.
Cost Estimator
Applicants have access to the cost estimator to develop a financial plan that takes into account various income sources and expenses.
Career Options
Enrolment, Duration & Other Stats
These statistics show data for the Master of Science in Bioinformatics (MSc). Data are separated for each degree program combination. You may view data for other degree options in the respective program profile.
ENROLMENT DATA
| 2023 | 2022 | 2021 | 2020 | 2019 | |
|---|---|---|---|---|---|
| Applications | 123 | 135 | 151 | 114 | 105 |
| Offers | 17 | 17 | 18 | 28 | 21 |
| New Enrolment | 15 | 12 | 15 | 22 | 19 |
| Total Enrolment | 37 | 49 | 46 | 45 | 36 |
Completion Rates & Times
Disclaimer
Research Supervisors
Supervision
Students in research-based programs usually require a faculty member to function as their thesis supervisor. Please follow the instructions provided by each program whether applicants should contact faculty members.
Instructions regarding thesis supervisor contact for Master of Science in Bioinformatics (MSc)
Advice and insights from UBC Faculty on reaching out to supervisors
These videos contain some general advice from faculty across UBC on finding and reaching out to a supervisor. They are not program specific.
This list shows faculty members with full supervisory privileges who are affiliated with this program. It is not a comprehensive list of all potential supervisors as faculty from other programs or faculty members without full supervisory privileges can request approvals to supervise graduate students in this program.
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Accili, Eric (molecular mechanisms responsible for cellular pacemaking behavior )
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Adams, Keith (Molecular evolution, genome evolution, and gene expression)
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Aparicio, Samuel (Breast cancer, genome sequencing )
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Bashashati Saghezchi, Ali (Bioinformatics; Medical and biomedical engineering; Artificial Intelligence; Computational Pathology; Cancer Genomics; Computational Biology; Digital Pathology; Image Processing; Machine Learning; Ovarian Cancer; Signal Processing; Multi-modal Learning)
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Birol, Inanc (bioinformatics, computational biology, genomics, transcriptome analysis, next generation sequencing, cancer, Bioinformatics, sequence assembly, transcriptomics, gene regulation networks, high throughput informatics for big data)
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Bohlmann, Joerg (plant biochemistry, forestry genomics, forest health, conifers, poplar, bark beetle, mountain pine beetle, natural products, secondary metabolites, terpenes, floral scent, grapevine, Conifer genomics Forest health genomics Mountain pine beetle, fungus, pine interactions and genomics Chemical ecology of conifer, insect interactions)
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Bouchard-Cote, Alexandre (machine/statistical learning; mathematical side of the subject as well as in applications in linguistics and biology)
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Brooks-Wilson, Angela (Bioinformatics; Clinical oncology; Genetic medicine; Genomics; cancer families; cancer genetics; genetic susceptibility; human genetics; longevity; Super seniors)
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Carlsten, Christopher (Environment and Respiratory Diseases)
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Cembrowski, Mark Steven (Molecular neuroscience; Mathematical modelling and simulation; Mechanisms of memory in the brain; Anxiety; Big Data; Bioinformatics; Cell types; Computation; Fear; Genetics; modeling; Neural circuits; neuroscience; Neuroscience of memory; PTSD; RNAseq)
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Cherkasov, Artem (Drug design; Bioinformatics, Molecular modeling; Proteomics; Artificial intelligence; Antibiotics )
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Cohen Freue, Gabriela (statistical genomics (focus in proteomics), robust estimation and inference, linear models with endogeneity )
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Collins, Colin (translational genomics where mathematics, genomics, computer science, and clinical science converge in diagnostics and therapeutics)
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Condon, Anne (Algorithms; Molecular Programming)
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Coombs, Daniel (Mathematical biology; Cellular immunology; Complex physical systems; Epidemiology (except nutritional and veterinary epidemiology); Cell Signaling and Infectious and Immune Diseases; Cell biophysics; Disease models; Epidemiology; Immune cell signalling; Mathematics)
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Daley, Denise (Bioinformatics; Asthma; Complex Trait Genetics; Epigenetics; gene-gene and gene-environment interactions; Genetic Diseases; genetic epidemiology; Genetics of Aging; statistical genetics; Susceptibility Genes)
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Dao Duc, Khanh (Genomics; Mathematical biology; Neurocognitive patterns and neural networks; Agricultural spatial analysis and modelling; combine mathematical,computational and statistical tools to study fundamental biological processes; regulation and determinants of gene expression and translation; Machine Learning for Biological Imaging and Microscopy; Database development and management; Biological and Artificial Neural Networks for geometric representation)
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de Boer, Carl (Gene regulation)
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Dennis, Jessica (Bioinformatics; Genetic medicine; Complex Trait Genetics; genetic epidemiology; statistical genetics; Psychiatric conditions; neurodegenerative disease; Precision Health; Administrative health data; Electronic health records; Machine Learning)
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Ding, Jiarui (Bioinformatics; Basic medicine and life sciences; Computational Biology; Machine Learning; Probabilistic Deep Learning; single-cell genomics; visualization; Cancer biology; Computational Immunology; Food Allergy; neuroscience)
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Finlay, B Brett (Infectious agents, bacteria, microbial infections and how humans react to it)
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Frangou, Sophia (the study of the human brain in health and disease)
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Friedman, Jan Marshall (Other clinical medicine; Genetic medicine; Genomics; Health counselling; Application of whole genome sequencing to diagnose genetic disease; Birth defects epidemiology; Clinical genomics; Developmental Genetics; Genetics and Heredity; Neurofibromatosis)
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Garbi, Rafeef (Bioinformatics; Electrical engineering, computer engineering, and information engineering; Medical and biomedical engineering; Artificial Intelligence; Biomedical Engineering; Biomedical Technologies; Computer Vision; Deep Learning; image analysis; Imaging; Machine Learning; Medical Image Computing)
Pages
Sample Thesis Submissions
Further Information
Specialization
Bioinformatics combines computational and biological disciplines.
Program Website
Faculty Overview
Academic Unit
Program Identifier
Classification
September 2025 Intake
January 2026 Intake
Program Enquiries
Contact the program
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