Clinical Bioinformatics
Description
Program Code: CB511
Credential: Ontario Graduate Certificate
Start Dates: September
Program Length: 2 semesters
Credential: Ontario Graduate Certificate
Start Dates: September
Program Length: 2 semesters
The Humber Advantage
An Education in High Demand
Providing and supporting patient care is at the forefront with a career in clinical bioinformatics. The rapidly evolving health care industry is in high demand for clinical bioinformatic practitioners. Graduates will have the tools, skills, and resources to develop and improve methods of acquiring, storing, organising, and assessing biological data with the aim at supporting and improving patient care and outcomes.
The Humber Experience
The Right Fit
You are looking for a new challenge or stage in your career. You are inquisitive, driven, and passionate about technology. You are a problem solver who wants to help others be and stay healthy.
Program Overview
Bioinformatics is an emerging, interdisciplinary field of study aimed at understanding and inferring meaning from scientific “Big Data”. To meet this rapid development, the Clinical Bioinformatics Ontario Graduate Certificate program was created - firmly grounded in theory, hands-on skills and application. You will learn to perform data mining, analyze scientific data, develop treatment plans and monitor trends presented in genetic data. You will also learn to develop methodologies and hypotheses within the medical informatics, computational biology and medical technology fields.
Students acquire expertise to utilize current bioinformatics software in order to manage large genetic databases to research the pathology of diseases and develop treatment hypotheses. This program also introduces students to the rapidly evolving fields of genomics and proteomics, and provides a core knowledge of analytical approaches used in these fields. Students will receive essential training in the use of industry-based software for biological data analysis including identification and evaluation of disease/disorder associated biomarkers and determination of therapeutic efficacy of drugs.
Admission Requirements
Applicants must meet all the requirements below in order to meet minimum program eligibility. Meeting minimum eligibility requirements does not guarantee an offer of admission. Admission decisions will be available via MyHumber, or by email and mail. Admission decisions will not be released by phone.
Admission selection is based on the following three requirements:
1. Academic
To be eligible for admission, you must possess the following:
- A bachelor’s degree, advanced diploma, diploma or equivalent in biological sciences, biotechnology, nursing or a related field.
2. English Language Proficiency
All applicants whose first language is not English must meet Humber’s English Language Proficiency Policy.
3. International Credit Evaluation
Canadian citizens or permanent residents with international education are required to provide a credential evaluation.
Note, for international High school education course by course evaluations, ICAS must be used. For international post-secondary education, a WES evaluation must be provided. In situations where you expect to apply for transfer credit, it is recommended that a course by course WES evaluation is completed.
Courses:
Semester 1
- BINF 5000: Fundamentals of Data Science
- BINF 5001: Introduction to Omics
- BINF 5002: Computational Tools and Methods
- BINF 5003: Data Mining, Modeling and Biostatistics
- BINF 5004: Biosequence Pattern Analysis
- BINF 5005: Integrative Research Project
- PREP 5000: Professional Development
Semester 2
- BINF 5500: Integrative Research Project
- BINF 5501: Bioinformatics and Precision Medicine
- BINF 5502: Ethics in Bioinformatics
- BINF 5503: Data Analytics and Storytelling
- BINF 5504: Field Experience - Clinical Bioinformatics
Learning Outcomes:
Upon successful completion of the program, a graduate will:
- Identify relevant evidence-based research, trends, technologies, and standards within the field of bioinformatics to maintain currency in the industry.
- Apply bioinformatics and computational methods to the design, execution and interpretation of scientific research.
- Employ programming language and scripting versatility to be able to automate processes at the application level.
- Examine bioinformatics data to discover patterns, draw conclusions and generate predictions for subsequent experiments.
- Comply with legal obligations, as well as with the professional and ethical standards that ensure privacy, security and confidentiality in the access, retention, storage and disposal of personal genetic data and related health information.
- Use statistics in the analysis, collation and interpretation of data to make informed decisions.
- Complete complex genomic and proteomics applications using advanced principles of cell and molecular biology, pharmacology and toxicology, pathophysiology, endocrinology, and biochemistry.
- Collaborate and communicate with members of the inter-professional health care team to optimize the health and well-being of individuals, based on their genetic profile.
Work Placement
As part of your program, you will participate in one mandatory paid or unpaid 210-hour internship to gain professional work experience in the field of Clinical Bioinformatics. The work internship takes place during the second semester and can be extended into the summer as needed. Work will occur in diverse settings such as for-profit or not-for-profit enterprises, governmental or educational institutions, or health and wellness institutions.
The experience will enhance the theoretical learning in the program, giving you hands-on application in the field of clinical bioinformatics. Work experiences might include gathering, reviewing, mining, or explaining bioinformatic data and/or functioning as a member of a clinical bioinformatics team. Students will be supported throughout their field experience with various key supports and key faculty and staff from the program.
Your Career
Given the rapid development in both biological and data sciences, and as the 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 in/as:
- bioinformatics analyst, scientist, technician or engineer
- biostatistician
- computational genomicist
- computational molecular scientist
- data scientist
- drug discovery researcher
- genomics
- proteomics
- scientific data analyst
Note: Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.
Related Courses
- Fundamentals of Data Science
- Introduction to Omics
- Computational Tools and Methods
- Data Mining, Modeling and Biostatistics
- Biosequence Pattern Analysis
- Professional Development
- Bioinformatics and Precision Medicine
- Ethics in Bioinformatics
- Data Analytics and Storytelling
- Field Experience - Clinical Bioinformatics
Overview

- Institution: Humber College
- Program type: Graduate Certificate
- Language: English
- Program Code: CB511
- Delivery Method: Fully Online/Distance
Disclaimer:
Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.
Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.