Clinical Bioinformatics
| Study location | Canada, Ontario, Toronto |
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| Type | Graduate Certificate, College |
| Nominal duration | 1 year/ 2 semesters |
| Study language | English |
| Course code | CB511 |
| Tuition fee | CA$21,289 per year The fees are for the 2024–2025 academic year and include tuition (CA$19,366), health insurance and ancillary charges. The fees displayed are estimates for two semesters and are subject to change. |
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| Registration fee | CA$375 one-time The registration fee includes the non-refundable application fee (CA$75) and the refundable deposit fee (CA$300). Please REVIEW the EdviseCanada`s fee policy. |
| Entry qualification | Undergraduate Diploma (or higher) To be eligible for admission, you must possess:
Please note: This program is best suited to applicants with a bachelor’s degree. Note: This program does not offer a conditional admission for applicants who do not meet the English language requirements. The entry qualification documents are accepted in the following languages: English. |
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| Language requirements | English For direct admission, if English is not your first language, OR you did not complete a minimum of two full years of successful study in an accredited university degree program/college diploma program in a country OR in a postsecondary institution where English is the primary language of instruction, you must provide one of the English language proficiency tests below:
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Overview
Bioinformatics is an interdisciplinary field focused on analyzing biological data with computational tools and methods to extract insights and infer meaning from complex datasets. To meet this rapid development, this program is firmly grounded in theory, hands-on skills and application. In the Clinical Bioinformatics graduate certificate, students gain insight into the genetic underpinnings of disease, contributing to the broader landscape of biomedical discovery and innovation through the application of computational analysis techniques.
Students are introduced to the rapidly evolving fields of -omics research with a focus on genomics, transcriptomics and pharmacogenomics concepts pertaining to human health and disease, providing students with training in analytical approaches used in these areas. Students acquire expertise navigating genetic databases and developing data analysis pipelines using current bioinformatics software to uncover insights into the pathology of disease and aid in developing predictive models. There is also an emphasis on effective data mining and scientific reproducibility, highlighting best practices for the integration and management of data across various platforms using cloud computing.
This program prepares graduates with the skills needed to build successful careers supporting -omics research across many areas in the health-care sector such as in health care and government institutions, pharmaceutical companies, and in academic research labs. The knowledge of programming languages and competencies in machine learning that are covered in our curriculum provides learners with highly valuable transferrable skills. Graduates of this program cultivate a versatile skillset that extends beyond bioinformatics, opening doors to opportunities in the broader realms of data science and technology.
Career opportunities
Given the rapid development in both biological and data sciences, and as Big Data in the field of medicine continues to grow at an accelerated rate, demand is growing for highly skilled bioinformatics professionals with life science education background.
Graduates of this interdisciplinary program will be versatile and demonstrate the core competencies to pursue a wide variety of careers such as:
- bioinformatics analyst, bioinformatician
- clinical research project assistant/co-ordinator
- computational genomicist
- computational molecular scientist
- data scientist
- drug discovery researcher
- research and development specialist