Digital Health and Data Analytics

Muhammad Mamdani
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Program at a glance:

Credential(s) Earned

Advanced Diploma

Program Length

2 years

Delivery Method

Full time Online and In-Person for Digital Practicums

Start Date

September 2021

Tuition

Domestic Tuition

Application Deadline

June 15, 2021

Career Opportunities

Graduates of this program can work with a variety of healthcare organizations and other institutions that impact health care, including hospitals, government, consulting and technology companies – both public and private. They will bridge the technology and clinical gap through hands-on data science, VR, machine learning and other initiatives to improve patient outcomes and healthcare delivery. They will apply design thinking approaches to rapidly adapt, innovate and implement new technologies as part of a healthcare team or with an industry partner.

Take a Digital Health & Data Analytics Virtual Tour

About the Program

Michener’s newest program Digital Health and Data Analytics, is a comprehensive two-year, six semester program dedicated to training learners in digital health, artificial intelligence AI), data analytics, machine learning and virtual care. This program was purpose-built for learners who see themselves contributing to the rapidly-evolving digital world and its impact on healthcare. Designed to be pragmatic, practical and job oriented, this unique, cutting-edge program will prepare you for an exciting career in digital health, data science, AI in healthcare and beyond.

The Digital Health and Data Analytics program is designed for university graduates , IT professionals, and current healthcare practitioners who are interested in the introduction and integration of digital solutions, and key topics and initiatives in the healthcare and consulting fields.

The program delivery is flexible to allow students to pursue the program while continuing to work and will be delivered entirely online, both synchronous and non-synchronous. Students can sub-specialize in areas such as artificial intelligence and robotics. If students are unable to commit to fulltime practicums in semester 5 and 6 there is an option to exit after four successful semesters, having met the requirements of a “Post-Diploma Certificate”. Students will have two semesters of workplace practicum experience in addition to a possible sub-specialty course in order to complete the six-semester Advanced Diploma program.

Please contact admissions@michener.ca for additional questions about this program.

About the Profession

Our healthcare system needs leaders, educators and advocates for technology, the use of digital solutions, AI in healthcare and beyond. These professionals will have the training and education to use digital systems to enable data-driven and integrated healthcare strategies – as well as enhance and connect care models using quality data and evidence- based practices. Graduates of this program will be able to facilitate the integration of machine learning, clinical algorithms, AI and smart systems into clinical environments – either as clinical employees or as industry consultants – and help develop and introduce rapidly-emerging technologies.

Is this program for me?

Consider this program if you:

  • Want to advance your career in healthcare by working on cutting edge digital, analytics and AI healthcare initiatives
  • Have an undergraduate university degree and are looking to transition into a health-related career
  • Are an information technology or management professional looking to engage in a career in digital healthcare
  • Are a healthcare clinician who wants to learn about key digital topics and enhance your understanding about AI and machine learning to obtain a role in a digital clinical environment

Admissions Requirements

Applicants to the Digital Health and Data Analytics program must possess the following qualifications:

  • Completion of a Bachelor’s Degree with a minimum Cumulative GPA of B (70% or 2.70 based on OMSAS  scale).
  • Successful completion of a post-secondary level Basic Statistics course (college or university). Applicants may submit proof of registration to a college/university level course at the time of application. Proof of course completion must be provided by July 31, 2021.
  • Completion of applicant experience checklist with accompanying documents. Refer to Applicant Checklist below for more information
  • Students must have access to a computer that meets the minimum system requirements, access to the Internet and an e-mail account
  • Computer literacy is required
  • Candidates should be self-motivated and high achievers

Applicant Experience Checklist

To assess your experience, ALL applicants are asked to fill out this checklist and submit the requested supporting documents along with the form – deadline June 1, 2021. Please note that this document must be submitted via admissions@michener.ca

Digital Health and Data Analytics Applicant Checklist

 

Admissions to the Digital Health and Data Analytics Program will be determined by an assessment of academic achievement, CGPA, (60%), and professional and academic experience (40%).

Internationally-educated applicants must meet Michener’s English Language Requirement and have their credentials assessed through WES or ICAS. For credential assessment requirement, visit Internationally Educated Applicants page.

Please note that this program will not be accepting international applications for the Fall 2021 intake.

How Do I Apply?

Please complete the following:

Step 1: Apply online at: Michener Self-Service

Step 2: Candidates must submit the following documents to admissions@michener.ca

  • Official copies of all postsecondary transcripts
    *Any transcripts submitted directly by the applicant will not be considered.Physical transcripts may be sent to:
    Registrar’s Office
    222 St. Patrick Street
    Toronto ON M5T 1V4
  • Additional proof of prerequisite completion (university/college level Statistics course) if completed outside postsecondary transcripts
  • Applicant Experience Checklist with supporting documents
    *Resume may be uploaded upon application via Michener Self-Service . If resume is not available at the time of application, please send it to admissions@michener.ca
    **Recommendation letters must be submitted by supervisor/HR directly to admissions@michener.ca
  • All applicants for whom English is a second language must provide proof of an English language assessment.
  • Course-by-Course evaluation from WES or ICAS for internationally educated students

For 2021 Michener graduands, please use the Digital Health and Data Analytics Internal Application form and submit it to admissions@michener.ca along with your supporting documents.

What Will I Learn?

When you enroll in the new Digital Health and Data Analytics program, you will learn the practical skills and knowledge needed to design and provide patient care in an increasingly digitized, machine and data-driven healthcare environment. Throughout your studies, you will develop a deep understanding of the key concepts, issues and challenges in digital health and data analytics, along with the ever-changing capabilities of AI and machine learning and the role they play in patient-driven healthcare and personalized medicine. You will have the capacity to generate and implement solutions and data-driven strategies using quality data and evidence-based practice.

Upon completion of the program, you will have the skills needed to work in an environment where digital solutions are used to promote equality, diversity and inclusion for clinicians and patients, while meeting the necessary privacy, safety, confidentiality and transparency standards set to protect patients.

Please see detailed course descriptions on the Digital Health and Data Analytics Curriculum Page.

Digital Practicums

Length: 2 semesters (15 weeks each)
Start/End: January to April 2023 and May to August 2023

Your practicum semesters will give you an opportunity to apply your knowledge and skills gained in the didactic portion of the program. You will be placed within a healthcare organization that has an active machine learning, artificial intelligence, robotics, or data science project. You will apply the knowledge, skills, and judgement that you have acquired through the program to date to embed yourself within a team of digital health professionals. For your second practicum you may continue with your first placement and becoming more central to the team’s projects, or switch focus and begin a new placement.

If you are already employed at an organization that has a digital health project that you could contribute to, you may request to complete your practicum at your workplace.

Practicum partner sites are subject to change; therefore, specific geographic regions may not be available at the time of your placement; other regions may be added. Please note that when you accept a seat in the program, you will also accept to go to any of the program’s affiliated practicum sites available at the time of your placement. Any relocation costs are born by the student. Virtual placements may also be an option.

In addition, when you accept a seat in the program, you may need to comply with the following mandatory requirements which must be completed prior to the start of your practicum depending on the location of your practicum:

  • First Aid and CPR Certification for Health Care Providers
  • Updated Vulnerable Persons Check
  • Updated TB Test

This practicum will be taken full-time, 35 hours per week over 15 weeks.