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. Students will gain the skills to extract meaningful insights from very large and complex data sets to support analytical decision‐making. Students 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.
| Level | Postgraduate Certificate |
| Discipline | Medicine and Health Sciences |
| Duration | 12 months |
| Intakes | Jan, Sep |
| Application Fees | CAD 95 |
| Tuition Fees | CAD 18357 |
| Campus | Main |
| Language proficiency (minimum) | |
| IELTS | 6.5 |
|---|---|
| TOEFL | 84 |
| PTE | 61 |
| Duolingo | 120 |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 50%
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