Digital Health Technologies (DHT)

The Institute for Management & Innovation (IMI) is proud to unveil a new concentration within the Master of Biotechnology for May 2019.

How to Apply

Contact:
905-569-4792
mbiotech@utoronto.ca

Doctor pointing at heartrate on phone

     

SUMMARY

Digital Health Technologies (DHT) is a field of concentration within the Master of Biotechnology Program. DHT’s focus of training is data science and will include advanced training in machine learning tools. It is a 2-year professional masters program that will involve 8-12 months of placement in industry through paid student internships. Students will learn about about basic business, health, regulation and data science. 

DIGITAL HEALTH INTRODUCTION

The digital health field is diverse and includes: bio-physics, mobile medical apps, health information technology, general wellness, electronic medical records, software and cybersecurity, health information technology and wearable technology, to list a few. DHT is an area that invites a spectrum of expertise that goes beyond engineering and design.

     

Health & Regulatory, Data Science, Business

THREE PILLARS OF DIGITAL HEALTH

The DHT field involves three main pillars:

  1. Health & Regulatory
  2. Data Science
  3. Business

Students will learn about chronic diseases, aging at home and health & wellness related issues including emerging technology. Regulation refers to privacy, data governance and policies set forth by the US Food and Drug Administration for the classification of medical products. Data science combines advanced statistical training with domain knowledge about healthcare and specific diseases. Students will be introduced to basic business concepts to understand profit drivers in this sector.

Man pointing at digital screen

     

INTERNSHIPS

Students will complete 8-12 months of industry internships in the Greater Toronto Area. Internships will draw upon the training students have received and will include relevant placements in this sector.

WHAT STUDENTS WILL LEARN

  • Problem solving involving data using advanced machine learning models for prediction
  • Programming
  • Data visualization
  • Use of proprietary social media analytic tools to look at health product influencers
  • Regulatory implications of data in a health context
  • Interplay of digital health product design and medical regulation
  • Products, companies key to digital health
  • Chronic diseases, aging at home and health & wellness issues
  • Business context of digital health technologies & reimbursement
     

map of social media network 

Proposed Digital Health Technologies Curriculum Map for 2019

REQUIREMENTS TO APPLY

  1. A four year bachelor degree with a minimum “mid-B” (75% average in the last 2 years of study).
  2. Degree program (or graduate degree) can be from a wide range of disciplines such as, not limited to: biology, public health, statistics, computer science, engineering, chemistry, engineering or epidemiology.
  3. Strong quantitative training. This can be illustrated by at least 2 courses in statistics, or by other courses with a strong focus on quantitative training (e.g. chemistry, population genetics, computer science, physics, econometrics).
  4. No prior knowledge of programming or business is assumed or required.  Some exposure to life sciences is required.

DIGITAL HEALTH IN THE NEWS

Peter Munk donates historic $100 million to the Peter Munk Cardiac Centre, to lead in artificial intelligence and to revolutionize cardiovascular health care. Read more here.