Ontario College Graduate Certificate | 3 semesters | Barrydowne
In this program, students will develop an understanding of programming, statistics, and foundations of data management within the context of the emerging field of Health Analytics. The knowledge gained will be tested and applied through exercises focusing on critical thinking and problem-solving skills. Students will learn to work as a member of an interdisciplinary health analytics team.
You will gain the skills to extract meaningful insights from very large and complex data sets to support analytical decision‐making. You will learn how to collect, curate, manipulate, encode, and store data sets so they can be analyzed and mined in such a way that they can be reused and re-purposed to solve challenges. Key areas of study include database design and management, statistics and programming for data analytics, data mining, data visualization, and decision‐making through analytics.
The program combines computer science and technology courses with communications courses. This enables students to find or gather data, use a wide variety of tools to analyze it, and share results through various forms of communication from reports to dashboards and infographics. The goal of the program is helping students become effective and persuasive analysts and communicators, helping industry leaders make evidence informed decisions.
- This program leverages and builds on existing experience and creativity in problem-solving enabling students to become strong, effective analysts who are skilled at bridging the gap between data, health, and technology.
- Students are exposed to a variety of theory, hands-on, applied, and experiential learning opportunities that prepare them to meet the needs of current job markets.
- A variety of workshops, community engagements, co-curricular activities, and guest speakers provide students with opportunities to begin networking and collaborating in the analytics and related fields.
- 1 year - 3 semesters (2 academic semesters and 1 semester of Work Integrated Learning)
- Capstone project in final semester
- HyFlex learning model utilized throughout the entire program
- Focus on analysis utilizing a wide array of tools including advanced ArcGIS, Microsoft Office and Excel, PowerBI, Python programming, R statistics, and SQL database to provide a versatile and in-demand analytical skill-set
- Extra-curricular and additional credential opportunities to enhance your analytical skills, portfolio, and resume
Students may choose to complete this program while studying part-time. For more information on the part-time pathway, see the Program Delivery tab.
Applicants must be graduates of a diploma, advanced diploma, or degree program from an Ontario College or equivalent.
Applicant must possess five years of work experience in a related field (or combination of education and work experience) as judged by the College to be equivalent. Applicants must submit a resume detailing their related experience and a cover letter outlining their competencies and preparedness for the program (any and all postsecondary transcripts must still be submitted).
- Any grade 12 mathematics (C) or (U) (MCT4C is highly recommended)
Students who do not possess the foundational math will need to take the bridging course/s prior to registration. Please contact the program coordinator to discuss upgrading options.
Applicants whose first language is not English, must provide proof of English language proficiency. Cambrian College accepts the TOEFL, or IELTS, or equivalent test to satisfy our English admission requirements.
- Proficiency in Microsoft Excel
This program will be delivered in the following terms:
Fall Term Start
- SEMESTER 1 Fall 2022
- SEMESTER 2 Winter 2023
- SEMESTER 3 Spring 2023
Applicants wishing to study part-time will apply to HAPT at OCAS. Timelines for completion will extend beyond those indicated above.
For specific term start/end dates and other key dates/deadlines, please see the Academic Schedule on our website.
Program of Study for 2022-23 Academic Year
|HEA 1031||Canadian Health System - Ethical, Legislation, and Regulatory Considerations||3|
|DBA 1000||Database Mgmt & Warehousing||4|
|EXL 1002||Dashboards and Data Analysis||3|
|QMM 1001||Statistics for Data Analytics||4|
|ANA 1000||Foundations of Data Analytics||3|
|ANA 1001||Programming for Analytics||4|
|HEA 1044||Introduction to Epidemiology||3|
|HEA 1041||Applications of Health Data||3|
|HEA 1035||Data Mining for Health Analyst||3|
|BTA 1013||Communicating with Data||3|
|QMM 1002||Stats and Data Visualization||4|
|HEA 1032||Health Data Acquisition & Management||3|
|GIS 1025||GIS Mapping||2|
|ANA 1010||Analytics Capstone||6|
Part-time students will be provided with a pathway to complete this program on a part-time basis.
Tuition and Ancillary Fees
Please see our fees page for the breakdown of tuition and mandatory ancillary fees by program and semester for both domestic and international students.
Books & Supplies
The total cost of books in the program is approximately $600. This is the best information available at the time of publishing to the website and is subject to change.
Graduates may work as data analysts, clinical analysts, project managers, software developers, privacy officers, implementation coordinators, data scientists, business intelligence consultants, decision support specialists, and consultants in IT departments in hospitals, medical software companies,research or educational institutions and health informatics clinics.
College/University Degree Opportunities
Graduates from this program may continue their studies at college/university and may receive credit for their prior College education.
Refer to College/University Agreements for further information.
Please note: Cambrian College strives to ensure the accuracy of the information on this website. Please note that the academic curriculum is continually reviewed and revised to ensure that Cambrian's programs and courses remain relevant. The College reserves the right to cancel or make changes to any course or program, fee, procedure, or campus location at any time.