Biotechnology
Program Overview
The Master of Biotechnology (MBiotech) program is an interdisciplinary and course-based professional degree program offered through the Institute for Management & Innovation at the University of Toronto Mississauga. Offering fields in both Biopharmaceutical and Digital Health Technologies, this full-time, 24-month program incorporates both science and business courses with 8 to 12 months of paid work experience in industry.
Academic experience in the Life Sciences is required for both program fields. However, students come from various academic backgrounds with the common goal of pursuing a career in the biotechnology, digital health, and/or biopharmaceutical industries. The program is designed to meet the evolving needs of students and these global industry sectors, with lecturers stemming from various University of Toronto Faculties and from biotechnology and pharmaceutical industries and governmental agencies. The carefully selected combination of courses, coupled with relevant industry experience and a strong focus on teamwork, provides graduates with a truly interdisciplinary educational experience.
Quick Facts
Domestic | International | |
---|---|---|
Application payment deadline | MBiotech: 7-Jan-2022 (Summer 2022 entry)
| MBiotech: 7-Jan-2022 (Summer 2022 entry)
|
Supporting documents deadline | MBiotech: 7-Jan-2022 (Summer 2022 entry) | MBiotech: 7-Jan-2022 (Summer 2022 entry) |
Minimum admission average | MBiotech: Mid-B in the final two years of study | MBiotech: Mid-B in the final two years of study |
Program length (full-time only) | MBiotech: 6 sessions | MBiotech: 6 sessions |
Master of Biotechnology
Program Description
The MBiotech is a 24-month interdisciplinary, course-based professional degree program. Students come from various science and/or engineering backgrounds with the common goal of pursuing a career in the biotechnology, medical device, and pharmaceutical industries.
The program meets the evolving needs of students and this global industry sector. Faculty and instructors from various University of Toronto Faculties, biotechnology and pharmaceutical industries, and governmental agencies provide a truly interdisciplinary learning experience. Introductory laboratory courses and a year-long work internship round out the broad-based learning environment.
The program is a full-time, course-based master's degree which is launched in May each year.
Field: Biopharmaceutical
Minimum Admission Requirements
-
Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Institute for Management & Innovation's additional admission requirements stated below.
-
An appropriate bachelor’s degree from a recognized university in any area of biological sciences, chemistry, engineering, or related field with a minimum mid-B standing in the final two years of study.
-
Applicants who have completed their studies outside of Canada must also submit their Graduate Record Examination (GRE) Subject Test scores and meet the SGS minimum standards for English proficiency.
-
The MBiotech program also evaluates applicants on their letter of intent, CV, three references, and both a science and business interview.
Program Requirements
-
Students must complete 9.5 graduate full-course equivalents (FCEs) over a 24-month period:
-
4.5 FCEs in MBiotech courses (includes credits for Seminar and Work Term Placement)
-
3.5 FCEs in Biopharmaceutical courses
-
1.5 FCEs in elective courses.
-
-
An ongoing seminar series led by university, industry, and government specialists links all the participants with the academic, practical, and applied aspects of the program.
Program Length
6 sessions full-time (typical registration sequence: S/F/W/S/F/W)
Time Limit
3 years full-time
Required Courses
A general description of each required course is posted on the Biotechnology website.
BTC1600H
|
Biopartnering I
|
BTC1610H
|
Biopartnering II
|
BTC1700H
|
Molecular Biology Laboratory
|
BTC1710H
|
Biomaterials and Protein Chemistry Theory
|
BTC1720H
|
Biomaterials and Protein Chemistry Lab
|
BTC1800H
|
Biotechnology in Medicine
|
BTC1810H
|
Biotechnology and Drug Manufacturing
|
BTC1820H
|
Biotechnology in Agriculture and Natural Products
|
BTC1900Y0
|
Work Term I (Internship)
|
BTC1910Y0
|
Work Term II (Internship)
|
BTC2000H+
|
Effective Management Practices
|
BTC2010H
|
Fundamentals of Managerial Concepts
|
BTC2020H
|
Society, Organizations, and Technology
|
BTC2030H
|
Management of Technological Innovation
|
0 Course that may continue over a program. The course is graded when completed.
+ Extended course. For academic reasons, coursework is extended into session following academic session in which course is offered.
Elective Courses
BTC1840H
|
Patent Law for the Life Sciences
|
BTC1850H
|
Creating Life Science Products
|
BTC1860H
|
Generations of Advanced Medicine: Biologics in Therapy (GAMBiT)
|
BTC1920Y
|
Work Term III (Internship)
|
BTC2040H | Change Management |
BTC2100Y | Thesis Project in Biotechnology |
BTC2110H
|
Topics in Biotechnology
|
BTC2120H
|
Topics in Biotechnology
|
Other graduate courses approved by Program Directors.
Field: Digital Health Technologies
Minimum Admission Requirements
-
Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Institute for Management & Innovation's additional admission requirements stated below.
-
An appropriate bachelor’s degree from a recognized university in any area of biology, chemistry, computer science, engineering, epidemiology, psychology, public health, sociology, statistics, or related field with a minimum mid-B standing in the final two years of study.
-
A minimum 1.0 credit of university-level statistics (or equivalent) with at least a mid-B standing.
-
Applicants who have completed their studies outside of Canada must also submit their Graduate Record Examination (GRE) Subject Test scores and meet the SGS minimum standards for English proficiency.
-
The MBiotech program also evaluates applicants on their letter of intent, CV, three references and both a science and business interview.
Program Requirements
-
Students must complete 9.5 graduate full-course equivalents (FCEs) over a 24-month period:
-
4.5 FCEs in MBiotech courses (includes credits for Seminar and Placement)
-
4.0 FCEs in Digital Health Technologies courses
-
1.0 FCE in elective courses.
-
-
An ongoing seminar series led by university, industry, and government specialists links all the participants with the academic, practical, and applied aspects of the program.
Program Length
6 sessions full-time (typical registration sequence: S/F/W/S/F/W)
Time Limit
3 years full-time
Required Courses
A general description of each required course is posted on the Biotechnology website. (See amendment made on March 9, 2022.)
BTC1600H
|
Biopartnering I
|
BTC1610H
|
Biopartnering II
|
BTC1842H
|
Medical Device Reimbursement
|
BTC1855H | Coding in R Language |
BTC1859H
|
Data Science in Health I
|
BTC1877H
|
Data Science in Health Part II
(Prerequisite: BTC1859H.) |
BTC1878H | Health Data Visualization with Tableau (Prerequisites: BTC1855H and BTC1859H.) |
BTC1882H
|
Digital Ethnography in Health
|
BTC1895H
|
Introduction to IT Consulting and Web Design
|
BTC1899H
|
Digital Health Technology
|
BTC1900Y0
|
Work Term I (Internship)
|
BTC1910Y0
|
Work Term II (Internship)
|
BTC2000H+
|
Effective Management Practices
|
BTC2010H
|
Fundamentals of Managerial Concepts
|
BTC2030H
|
Management of Technological Innovation
|
0 Course that may continue over a program. The course is graded when completed.
+ Extended course. For academic reasons, coursework is extended into session following academic session in which course is offered.
Elective Courses
BTC1840H
|
Patent Law for the Life Sciences
|
BTC1850H
|
Creating Life Science Products
|
BTC1860H
|
Generations of Advanced Medicine: Biologics in Therapy (GAMBiT)
|
BTC1889H | Deep Learning in Health (Prerequisites: BTC1859H and BTC1877H or 1.5 credits in statistics [undergraduate or graduate]. 1.0 credit of undergraduate/graduate biology or related discipline. Advanced data science coding in the R language.) |
BTC1920Y
|
Work Term III (Internship)
|
BTC2110H
|
Topics in Biotechnology
|
BTC2040H | Change Management |
BTC2100Y | Thesis Project in Biotechnology |
BTC2120H
|
Topics in Biotechnology
|
Other graduate courses approved by Program Directors.

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- PhD Candidate, Statistical Sciences