DHT Curriculum ♟︎

dht MBiotech’s Digital Health Technologies (DHT) curriculum comprises both required courses that all students take and elective courses that students choose to take to meet their elective credit requirement, or simply out of interest. { or jump to BioPh Curriculum ♙ }


 Credit Requirements

Students enrolling in DHT steam of MBiotech commencing May 2022 are required to complete 9·5 graduate course credits over a 24-month period on a full time basis. These 9·5 credits comprise the following—

  • 10 Science courses (0·5 credits each, for a total of 5·0 credits)
  • 3 Business courses (0·5 credits each, for a total of 1·5 credits)
  • 2 Work Term courses (1·0 credit each, for a total of 2·0 credits)
  • Electives (1·0 credits)

DHT Cirriculum Map

Early rendition of the DHT curriculum map.
Course calendars for active classes compatible with Apple and Google Calendars can be downloaded by clicking these icons. How? ››
cal    googlecal   
Click on the oak leaf to access Quercus.
quercus
 Graduation requirements are changing. Students commencing the Program prior to May 2022 need only complete 9·0 graduate course credits in order to graduate.


Our Required Courses (R)

 YEAR 1
Seminar Series (BTC16x0)
BTC1600H  Biopartnering I { Sep‑Dec } bar-1600 cal googlecal

Digital Health Series (BTC18xx)
BTC1842H  Medical Device Reimburse­ment { May‑Jun } bar-1842 cal googlecal-grey
BTC1855H  Coding in R Language COMING SOON bar-1855 cal googlecal-grey
BTC1859H  Data Science in Health I { May‑Jun } bar-1859 cal googlecal-grey
BTC1877H  Data Science in Health, Part II { Sep‑Dec } bar-1877 cal googlecal
BTC1878H  Health Data Visualis­ation with Tableau COMING SOON btc-1878 cal googlecal-grey
BTC1882H  Digital Ethno­graphy in Health { Jan‑Apr } bar-1882 cal googlecal
BTC1895H  Intro­duction to IT Consulting & Web Design Jan‑Apr } bar-1895 cal googlecal

Business Series (BTC20x0)
BTC2000H  Effective Manage­ment Practices { May‑Dec } bar-2000 cal googlecal
BTC2010H  Fundamentals of Managerial Concepts { Sep‑Dec } bar-2010 cal googlecal

Biomedical Series (MSC201x)
MSC2011H  Special Topics in Biomedical Communications { May‑Aug } bar-2011 cal googlecal-grey
MSC2019H  Information & Data Visualis­ation in Science & Medicine { Jan‑Apr } bar-2019 cal googlecal
 YEAR 2
Seminar Series (BTC16x0)
BTC1610H  Biopartnering II { Sep‑Dec } bar-1600 cal googlecal

Digital Health Series (BTC18xx)
BTC1899H  Digital Health Technology { Sep‑Apr } bar-1899 cal googlecal

Work Term Series (BTC19x0)
BTC1900Y  Work Term I { May‑Aug } bar-1900 cal googlecal
BTC1910Y  Work Term II { Sep‑Dec } bar-1900 cal googlecal

Business Series (BTC20x0)
BTC2030H  Management of Techno­logical Innovation { Jan‑Apr } bar-2030 cal googlecal


The Electives (E)

 YEARS 1 & 2
Digital Health Series (BTC18xx)
BTC1889H  Deep Learning in Health Jan‑Apr } bar-1889 cal googlecal
BTC1896H  Technology & Cognitive Perform­ance COMING SOON btc-1896 cal googlecal-grey

Work Term Series (BTC19x0)
BTC1920Y  Work Term III { Jan‑Apr } bar-1900 cal googlecal

Business Series (BTC20x0)
BTC2040H  Change Manage­ment { Jan‑Apr } bar-2040 cal googlecal

Special Topics Series (BTC21x0)
BTC2100Y  Thesis Project in Biotech­nology COMING SOON bar-21x0 cal googlecal-grey
BTC2120H  Decision Analytics in Business, Health­care & Manage­ment { Jan‑Apr } bar-21x0 cal googlecal

IMI Series (IMIxxxx)
IMI3001H  Biocommercial­isation I: Analysis of Technology Driven Innovation { Sep‑Dec } bar-imi cal googlecal
IMI3003H  Biocommercial­isation II { Jan‑Apr } bar-imi cal googlecal


 Course Descriptions

All mandatory courses (but not electives) offered in the DHT stream are described in this section.
 

flag-2011MSC2011H Special Topics in Biomedical Communic­ations: Coding in R Language { Year 1 }
Session: Summer
Instructor: Sebnem Kuzulugil
Credits: 0·5 (R)

Course Description:
This course teaches basic programming skills to non-programmers and introduces them to the value of those skills. Students will learn about the various capabilities of the R programming language and participate in discussions about the purpose of programming including task automation and interactive Web design. Students will be introduced to elementary data types, control flow and functions as well as functional and object oriented programming. Students will practice approaches to problem solving with computer programs and learn debugging strategies. By the end of the course, students are expected to create a program that helps them solve a reasonable problem or perform a task in their own domain of study.

{ To top } cal googlecal-grey

flag-1842BTC1842H Medical Device Reimbursement { Year 1 }
Session: Summer
Instructor: Mark Smithyes
Credits: 0·5 (R)

ether-1842
1842First use of ether in surgery by Long.

Course Description:
Medical device reimbursement for medical devices is critical for successful product commercial­isation. This course discusses the regulatory and reimbursement landscape in Canada and presents a medical device reimbursement framework that can be applied when seeking medical device reimbursement. The framework focuses on the medical device and the reimbursement environment where payment is being sought. The course involves lectures and reimbursement challenges. Teams of students will conduct reimbursement assessments and develop and present reimbursement plans for real-world medical device reimbursement. At the conclusion of the course, students will have the knowledge and tools to build a medical device reimbursement plan.

{ To top } cal googlecal-grey

flag-1859BTC1859H Data Science in Health I { Year 1 }
Session: Summer
Instructor: Nicholas Mitsakakis
Credits: 0·5 (R)

pasteur-1859
1859 • Pasteur uses his col de cynet apparatus to disprove ‘spontaneous generation’ theory.

Course Description:
This course will introduce students to biostatistics and data science. This course is intended for both students new to the area and those with prior training.

Statistical and data analysis methods covered will start with descriptive statistics and basic univariate tests and continue to more advanced regression models and other topics. The sessions will include lectures and hands-on tutorials that include real-time exercises. It is key that students are able to identify which methods to apply to what kind of data set, the assumptions of the model and how to interpret the output. Special emphasis in the course will be placed on critical thinking around analytical methods to be used.

Problem sets will be focused on the application of statistical modelling to the biological and health sciences. This may include laboratory or clinical data sets. Your defence of your analysis, as well as critiquing the work of others, will require you to draw upon some of your knowledge of biology and the health sciences.

A key component of the course will involve programming in R in order to conduct statistical analysis. Students will have both individual and team assignments to provide practice coding in R, one of the main languages used today in performing statistical analysis. Comfort with R will be helpful in learning other languages in the future in a statistical context. Off the shelf software, while more convenient, may not be available in the work environment you find yourself in and certain tests you may need, may not be available in any such software. Thus, learning to code is the best path forward for future practitioners of data science.

{ To top } cal googlecal-grey

flag-2000BTC2000H Effective Manage­ment Practices { Year 1 }
Sessions: Summer & Fall
Instructor: Ann Armstrong
Credits: 0·5 (R)

classic
Formerly • Organis­ational Skills. Mantra • ‘An intro­ductory course … to acclimatize a student to the relation­ships that will be encountered in the laboratory courses and the intern­ship course.’

Course Description:
This course introduces students to the basic skills and concepts needed to become an effective member of an organis­ation. It focuses on (1) team working skills, (2) funda­mental managerial skills, and (3) career manage­ment skills. The course is participative in its design and requires students to apply the material in the course. It provides the first opportunity for a team approach to problem solving and will provide a realistic preview of the work place.

This course will be used to define and organise groups of students who will work in teams to complete the subsequent laboratory modules.

{ To top } cal googlecal quercus

flag-1877BTC1877H Data Science in Health, Part II { Year 1 }
Session: Fall
Instructor: Nicholas Mitsakakis
Credits: 0·5 (R)

osteotome-1877
1877 • William Macewen invents the osteotome, enabling bone grafts.

Course Description:
This graduate course takes students with a basic background in statistics and equips them to tackle massive data sets in health. The focus will be on advanced statistical tests in machine learning and assemble such tests by accessing and validating publicly available code in the R programming language and creating their own code as needed. Students will also learn additional techniques pertaining web scraping, working with unstructured data, data cleaning and data governance building upon the course Data Science in Health I. The course will emphasise creative approaches to analysing data and how to be critical of misleading analysis. Each class will involve both lecture and weekly tutorial assignments. The major project for the course will involve a large health data set that teams will compete to analyse.

{ To top } cal googlecal quercus

flag-2010BTC2010H Fundamentals of Managerial Concepts { Year 1 }
Session: Fall
Instructor: Kevin Yousie
Credits: 0·5 (R)

rna_vaccine
2010Derrick J. Rossi, former UofT alumnus, founds Moderna, Inc.

Course Description:
This foundational course introduces students to a broad range of the critical managerial concepts that are required to operate success­fully in today’s biotechnologically focused organisations. Topics covered include forms of business ownership, an introduction to financial statements, financial statement analysis, time value of money, marketing management, market segmentation, product positioning, the marketing mix, pricing decisions, channel and marketing communications management, as well as some aspects of organisational behaviour and strategic management. Theory and application are combined through the use of readings, case studies, presentations and a group project.

{ To top } cal googlecal quercus

flag-1600BTC1600H Biopartnering I { Year 1 }
BTC1610H Biopartnering II { Year 2 }
Session: Fall
Instructor: Duncan Jones
Credits: 0·5 (R)

classic
Formerly • Seminar in Bio­sciences/​Bio­tech­nology. Mantra • ‘All participants in the Program are linked by the seminar course during acad­emic and industrial terms.’

Course Description:
The ‘Biopartner­ing’ seminar series is a program require­ment for all MBiotech students — in both the BioPh and DHT streams. BTC1600H and BTC1610H are held in conjunction with one another, meaning all students (regardless of year or program stream) attend the seminar on the same date and time. The seminar is held once per week during the Fall semester, on Tuesday evenings for approximately two hours. It is comprised of both presentations by select speakers from industry as well as student presentations. The course challenges students to provide insights into industry issues that would be seen as a valuable contribution by experts in the area. Each student will participate in a formal group presentation, in their first year, and will complete other academic requirements such as critiques, team mentoring and an individual report in their senior year. The topics presented in this course will range from scientific (latest technologies and research, analysis of pre-clinical and clinical data) to business-oriented issues (e.g., market strategies for pharma and biotechnology products, government regulations, intellectual property, finance, ethics, etc.).

{ To top } cal googlecal quercus

flag-1882BTC1882H Digital Ethnography in Health { Year 1 }
Session: Winter/Spring
Instructor: Jayson Parker
Credits: 0·5 (R)

manhattan-1882
1882Vladimir Bekhterev publishes Provodiashchie puti mozga (‘The Conduction Paths in the Brain and Spinal Cord’), beginning to note the role of the hippocampus in memory.

Course Description:
This course will introduce students to the development of a wide range of product categories and topics pertaining to the commercial­isation of healthcare products. The course will touch upon medical devices, wearable technology, clinical trial design, biopharmaceuticals, digital health, big data in health, medical apps, biomarkers, medical marketing, treatment guidelines, screening tools, diagnostics and social listening. Understanding clinical trial design and the regulatory pathway through the US FDA is a major focus of the course. There will be an emphasis on digital health regulation. The course will also introduce students to 3D printing and its applications in healthcare. Students will be required to get familiar with the digital modelling tool Blender. Students will explore segmentation of physicians based on their clinical practices, drawing upon some of their data science training. The major project for the course will focus on the use of social listening for a product to derive insights into different issues based on the expressed interests of an industry partner. Students will be required to develop a strong level of mastery with the social listening tool Brandwatch and combine that with their foundational knowledge in the course, along with their data science training, to derive insights.

{ To top } cal googlecal quercus

flag-1895BTC1895H Introduction to IT Consulting & Web Design { Year 1 }
Session: Winter/Spring
Instructor: Ibrahim Munawar
Credits: 0·5 (R)

röntgen-1895
1895 • Wilhelm Röntgen discovers X-rays and become an inaugural Nobel Laureate

Course Description:
Information Technology (IT) Consulting is a growing profession that embodies the use of computer-supported collaborative tools in the execution of business functions. In this course students engage with the principles of Computer Supported Co-operative Work (CSCW) through an experiential opportunity to work with a real client. Students create an IT Consulting company and take on the role of consultants, learning core skills (soft and hard) necessary for this profession, including client management, communication, ideation, analysis and solution development, project management, presentation skills and web design. Using case studies we discuss consulting lessons learned and problems to avoid within the context of industry best practices. Student teams will also advance their case by citing relevant best in class examples.

{ To top } cal googlecal quercus

flag-2019MSC2019H Information & Data Visualis­ation in Science & Medicine { Year 1 }
Session: Winter/Spring
Instructor: Shafquat Arefeen
Credits: 0·5 (R)

Course Description:
This course addresses the fundamental principles of information visualisation, including a discussion of human visual perception, cognition and approaches to graphic representation. This course will include weekly lectures and seminars, required readings, student presentations and a term paper. Topics will include the accurate representation of numerical and statistical data, innovative approaches to visual representation and appropriate use of design elements for clarity and legibility. Practical application of course material will require students to develop visualisations that yield insight into complex biomedical subject matter and successfully communicate to a range of audiences.

{ To top } cal googlecal quercus

flag-1900BTC1900Y / 1910Y / 1920Y Work Terms I, II & III { Year 1 + Year 2 }
Preparation: Fall & Winter/Spring
Sessions: Year-Long (begins Summer)
Instructor: Leigh Revers
Coordinator: Nazeem Shamsuddin
Credits: 2·0 (R) + 1·0 (E)

classic
Formerly • Placement Project in Bio­sciences/Biotech­nology. Mantra • ‘This course represents an intern­ship element of learning, which is considered … fundamental to [the] application of the academic course work.’

Course Description:
This series of centre­piece courses is designed to grant our students a more in-depth appreciation and understanding of the biotech­nology and biopharma­ceutical industry in a corporate and/or industrial setting, and to apply their knowledge and skills in a real-world context. Students are required to complete two 4-month full-time Work Term placements that are arranged by the course coordinator to ensure that the role, responsibilities and activities are at a graduate level. Credit-granting responsibilities reside with the course instructor, based on assignments and feedback from students’ Work Term supervisors.

Required preparatory exercises and assignments must be completed in the Fall and Winter sessions, leading up to the start of the placement in Summer, in order for students to qualify for Work Term I. These preparatory requirements can involve résumé work­shops, one-on-one meetings with members of the MBiotech team, attendance at the annual Career Day, and more.

Students in Work Term II may continue with the same employer from Work Term I, or alternatively with a new employer or department. Students’ performance and their work experiences is evaluated in a manner similar to that for Work Term I.

Note: BTC1920Y, Work Term III is an optional elective course that extends the placement experience to a full 12 months’ duration. Students taking Work Term III share their experiences by means of a mandatory Networking Night component in late April or early May.

Students receive credit/no credit grades for all three courses.

{ To top } I cal googlecal II cal googlecal III cal googlecal quercus

flag-1899BTC1899H Digital Health Technology { Year 2 }
Session: Fall & Winter/Spring
Instructor: Jayson Parker
Credits: 0·5 (R)

aspirin-1899
1899 • Felix Hoffmann & Arthur Eichengrün patent Aspirin.

Course Description:
This course has two parts that challenge students to think about the commercial­isation of digital health products. In the first half of the course students will build upon their training in digital health regulation by doing a reverse engineering assignment on a technology (e.g., health software). Students will also be introduced to detecting hype around a health technology and to distinguish this activity from more meaningful indicators of validation. Human factor engineering will be introduced in the context of basic psychology and its application to usability analysis and product design. The first half of the course involves individual student presentations that forecast the future of a digital health product and provide a critical analysis of the technology. The second half of the course challenges the students to think about creating their own digital technology. Special emphasis will be placed upon developing a compelling use case, regulatory strategy and market analysis. The second half of the course shifts to independent study by student teams that is supervised by the instructor.

{ To top } cal googlecal quercus

flag-2030BTC2030H Management of Technological Innovation { Year 2 }
Session: Winter/Spring
Instructor: Ruben Gaetani
Credits: 0·5 (R)

classic
Formerly • Manage­ment of Innovation.  Mantra • ‘A finishing course intended to tie together the academic and placement courses from the perspective of manage­ment and business.’

Course Description:
In this course, we will define techno­logical innovation as the process of leveraging new ideas to create economic value and deliver this value to share­holders, employees, consumers, and our society at large. This process involves critical strategic choices that are common to most organisations, from small startups to large established companies: What is the best way to bring an idea to the market, and to arrange production and distribution? How should we redesign our internal organisation, as well as the system of partnerships and relationships with external players? Should we redefine our vertical and horizontal boundaries, for example by outsourcing some activities or entering new geographical markets? Throughout the course, we will refine our ability to approach and find the best answer to these (and many other) questions. Using an applied and discussion-based method, we will learn how to effectively convert a creative idea into a valuable innovation.

{ To top } cal googlecal quercus

LEGEND: (R) Denotes a required course for graduation; (E) denotes an elective course. { To top }


Follow our step-by-step guides for subscribing to MBiotech’s live course calendars.

calOption 1
Apple Calendar on iPhone & iPad

1 In your iOS browser, open this page and tap-and-hold the desired Apple Calendar icon.
2 Chrome users select Copy Link. Safari users scroll down and select Copy.
3 Open your calendar app of choice in iOS.
4 For Apple’s Calendar app, at the bottom of the screen, select Calendars and then choose Add Calendar followed by Add Subscription Calendar. Paste the copied link into the Subscription URL field and tap Subscribe.
Calendars added in this manner will now appear in the Apple Calendar app on your iPhone or iPad.
{ To top }

calOption 2
Apple Calendar on macOS

1  On your Mac, using your browser, open this page and right-click on the desired Apple Calendar icon. Chrome users select Copy Link Address. Safari users select Copy Link.
2  On your Mac, launch Apple’s Calendar app.
3 From the File menu, select New Calendar Subscription… or type  + + S on the keyboard.
4 Paste the copied link into the Calendar URL field and click Subscribe.
Calendars added in this manner will now appear in the Apple Calendar app on your Mac and can be synced to your mobile devices.
{ To top }

googlecalOption 3
Google Calendar on Desktop, iOS Device or Android

1 On your Mac or PC, using your browser, open this page and right-click on the desired Google Calendar icon. Chrome users select Copy Link Address. Safari users select Copy Link.
2  Open a new tab or window and log in to your Google account online.
3  Click Calendar from the Google apps palette at the top right of the browser window.
4  In the left-hand menu, click ‘+’ next to Other Calendars and choose From URL.
5 Paste the copied link into the URL of calendar field and click Add calendar.
Calendars added in this manner will now appear in the Google Calendar app on your mobile device.
{ To top }

googlecalOption 4
Microsoft Outlook on Desktop, iOS Device or Android

Direct subscriptions to our calendars are currently not recommended. Subscribed calendars may be successfully added in the browser version of Outlook 365 by clicking Add Calendar on the calendar page, followed by Subscribe from web, but real-time synchronisation with Outlook in this manner has not proved reliable. Our fully tested work-around is as follows:
1  Follow the steps in Option 3, above, and subscribe to all of the desired calendars in Google Calendar using your browser.
2  Open a new browser window and log in to your UTmail account online.
3  Click Calendar icon from the pallet on the left (second icon down).
4  Click Add Calendar in the calendar pane, followed by Add personal calendars, in the pop-up dialogue window.
5  Click on Google to add synchronised calendars from your Google account.
All of your Google calendars will now be displayed in Outlook 365 and in your Outlook app on your mobile device.
{ To top }