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Graduate Course Timetable
Sessional Dates
Important deadlines are posted below to help you keep on track. Additional dates are posted on the School of Graduate Studies website. Students are responsible for ensuring they are aware of these dates.
| DATE | |
|---|---|
| Summer 2025 Course Enrolment | March 26, 2025 |
| Course Add Deadline for May-June & May - August 2025 Courses | May 12, 2025 |
| Course Add Deadline for July-August 2025 Courses | July 8, 2025 |
| Fall 2025 & Winter 2026 Course Enrolment Begins | August 7, 2025, 6 a.m. |
| Fall 2025 Courses Begin | Week of September 8, 2025 |
| Summer 2025 Course Grades Available | September 10, 2025 |
| Registration Deadline | September 12, 2025 |
| Course Add Deadline for Fall 2025 and full-year courses | September 17, 2025 |
| Fall 2025 Course Drop Deadline | October 27, 2025 |
| Final Date to Meet Degree Requirements for November Convocation | September 29, 2025 |
| Winter 2026 Courses Begin | January 5, 2026 |
| Fall Session Course Grades Available on ACORN | January 14, 2026 |
| Registration Deadline for January Starts | January 16, 2026 |
| Winter 2026 Course Add Deadline | January 19, 2026 |
| Final Date to Meet Degree Requirements for March Convocation (in absentia) | January 23, 2026 |
| Winter 2026 & Full-Year Course Drop Deadline | February 27, 2026 |
| Winter Session Course Grades Available on ACORN | May 13, 2026 |
| School of Graduate Studies Sessional Dates: | SGS Sessional Dates |
Full list of ChemE graduate course descriptions here
Fall 2025 Graduate Courses (Tentative)
Instructor: G. Allen
Time: Tuesdays, 10:00 AM - 1:00 PM
Place: Wallberg, #219
Mode of Instruction: In person
This course is intended for graduate students who don’t have an undergraduate degree in chemical engineering. A high level introduction to the underlying principles of chemical engineering for students who do not have a chemical engineering undergraduate education. Principles will be illustrated through both research examples and classical chemical engineering situations.
**Students with an undergraduate degree in Mechanical Engineering or Chemical Engineering are excluded from this course**
Instructor: A. Ramachandran
Time: Tuesdays, 1:00 PM - 3:00 PM; Wednesdays & Fridays, 1:00 PM - 2:00 PM
Place: Wallberg, #119
Mode of instruction: In person
Review of basic modelling leading to algebraic and ordinary differential equations. Models leading to partial differential equations. Vector analysis. Transport equations. Solution of equations by: Separation of variables, Laplace Transformation, Green’s Functions, Method of Characteristics, Similarity Transformation, others time permitting. Practical illustrations and exercises applied to fluid mechanics, heat and mass transfer, reactor engineering, environmental problems and biomedical systems. Lecture notes provided.
Instructor: M. Moosavi
Time: Fridays, 2:00 PM - 5:00 PM
Place: Sidney Smith Hall 2106
Mode of instruction: In person
Chemical Data Science and Engineering teaches the crucial skills to solve chemistry and chemical engineering problems using data. Focus is on statistical methods, exploratory data analysis, and Python programming. Students will learn data analysis by working with real-life datasets from diverse areas such as reaction kinetics, process monitoring, material properties, and spectroscopy. Learn about problem framing, visualization, building interpretable baseline models, and more. The course culminates in a final poster presentation. Some background in programming and statistics is recommended.
Enrolment: ChemEng students have priority enrolment in this course until September 1, 2025. Enrolment for students in other departments begins on September 2, 2025 @ 10:00 a.m. EST.
Instructor: Kai Lin
Time: Mondays, 11:00 AM - 2:00 PM
Place: Haultain, #403
Mode of Instruction: In Person
Artificial Intelligence (AI) and Data Informed Decision Making (DIDM) rely heavily on data and the use of AI and DIDM is necessary in order to maintain competitiveness in modern manufacturing. Industry benchmarks indicate that 70-80% of the effort in implementing AI and DIDM is associated with the task of acquiring pertinent data. Organizing and thereby making industrial data easier to acquire would help mitigate the efforts involved. This course introduces the current tools and concepts used to address this problem. Students will learn about Industry standards, approaches, and data transport protocols. Working both in team and individual environments, these concepts will be applied to real world scenarios.
Enrolment: ChemEng students have priority enrolment in this course until September 1, 2025. Enrolment for students in other departments begins on September 2, 2025 @ 10:00 a.m. EST.
Instructor: N. Weckman
Time: Wednesdays, 11:00 AM - 12:00PM
Place: Wallberg, #116
Mode of Instruction: In Person
Restrictions: This course is only open to MASc and PhD students in Chemical Engineering & Applied Chemistry.
This course exposes graduate students to the latest developments in a wide range of topics in Chemical Engineering and Applied Chemistry. Students are provided with a breadth of understanding of the current trends in the many fields which fall under the umbrella of Chemical Engineering and Applied Chemistry, through seminars given by internationally renowned experts through the Department’s Lectures at the Leading Edge series. This course is mandatory for all MASc and PhD students and is to be taken annually.
Winter 2026 Graduate Courses (Tentative)
Instructor: B. Saville
Time: CANCELLED
Place:
Mode of Instruction: In Person
An introduction and overview of bioenergy production technologies, including: first generation biochemical technologies to produce biofuels (e.g. from sugarcane, starch, and oilseeds). The course will then describe second generation technologies to produce biofuels (e.g., from lignocellulosics) followed by advanced technologies as well as the so-called “drop-in fuels.” It will include the theory and process aspects of hydrogenation-derived renewable diesel. An overview of fuel properties will also be given. Finally the course will conclude with environmental impacts – benefits and issues, economic aspects as well as infrastructure requirements and trade-offs.
Instructor: V. Papangelakis
Time: Thursdays, 1:00 PM - 3:00 PM
Place: UC #179
Mode of Instruction: In Person
This course has the objective of reviewing the basic concepts of thermodynamics with specific applications to processes involving phase equilibrium or equilibrium in chemical reactions. The course is divided in three parts. In the first part we will review the laws of thermodynamics, and the thermodynamic properties and phase behavior of pure substances. In the second part we will review the thermodynamic properties in mixtures and multiphase equilibria in non-reactive systems. In the last part of the course we will review the energy balance and equilibrium in chemical reactions. The evaluation will consist of a midterm at the end of the review section, and a final exam that will evaluate the last two parts of the course. This course also involves a term project where the student uses some of these concepts in a specific example related to his/her thesis project.
Instructor: A. Ramchandran
Time: Mondays & Thursdays, 1:00 PM - 3:00 PM; Fridays, 1:00 PM - 2:00 PM
Place: Mondays & Thursdays: Wallberg, #219; Fridays: Galbraith, #303
Mode of Instruction: In Person
Momentum, heat and mass transfer. General balances: continuity, species continuity, energy, and linear momentum equations. Rate expressions: Newton’s law of viscosity, Fourier’s law of conduction, and Fick’s law of diffusion. Applications to multi-dimensional problems, convective transport, transport in turbulent flow, interphase transport, boundary layer theory. Discussion of transport analogies.
Instructor: B. Sanchez
Time: Tuesdays, 10:00 AM - 1:00 PM
Place: Student Commons, #B120
Mode of Instruction: In Person
The driving force of the fourth industrial revolution is the processing and analysis of big data to extract knowledge, patterns, and information. Chemical, biologics/pharma, oil/gas, financial, and manufacturing organizations are in a unique position to benefit from this data revolution, as they collect and store massive amounts of heterogeneous data. Big data is characterized by the 5 Vs: volume, velocity, variety, veracity, and value and distributed computing architectures are used to process the data. The first part of this course will be on Apache Spark, a big data processing and computing engine. In the second part, special topics in analytics such as visualization, data quality, interpretable/fair ML and MLOps will be discussed. Prerequisites: An introductory course in data science or machine learning (e.g., CHE1147H or other similar courses). Familiarity with Python.
Enrolment: ChemEng students have priority enrolment in this course until December 14, 2025. Enrolment for students in other departments begins on December 15 , 2025 @ 10:00 a.m. EST.
Instructor: J. Werber
Time: Mondays & Wednesdays, 9:00 AM - 10:30 AM
Place: Haultain, #401
Mode of Instruction: In Person
Membranes are essential components in energy-efficient industrial separations (e.g., reverse osmosis, ultrafiltration, gas separations, electrodialysis) and electrochemical devices (e.g., electrolyzers, fuel cells, batteries). This course focuses on the fundamentals of membrane science, as relevant for industrial separations and electrochemical devices. Electrolyte systems are relatively emphasized. The course discusses transport of solvents (e.g., water), solutes, and ions in membranes; polymer chemistry, membrane synthesis, and membrane morphology; and details and requirements of specific applications. The course is relevant for water treatment, mining and metals, chemical processing, and electrochemical engineering.
Instructor: R. Sinukoff
Time: Thursdays, 4:00 PM - 7:00 PM
Place: UC #261
Mode of Instruction: In Person
The goals of the course will be to: (a) understand fundamental concepts and principles of environmental auditing; (b) understand relevant federal and provincial environmental legislation; (c) understand environmental management system and similar standards; (d) improve audit skills and knowledge of principles; (e) understand the Environmental Management System (EMS) auditing and certification/registration process. The course will be structured to provide sufficient background in the concepts of environmental management, due diligence, environmental protection, and the process of auditing these topics for verification purposes. The course material will be presented in a combination of lecture and workshop formats.
Instructor: C. Lawson
Time: Wednesdays, 10:00 AM - 12:00 PM & Thursdays 1:00 PM - 2:00 PM
Place: Wednesdays: SS #2110 & Thursdays: HS #106
*Thursday, February 12th Lecture: 1:00 PM - 2:00 PM Location: SS #1069
Mode of Instruction: In Person
In this course, students will learn theoretical and practical aspects of Bioprocess Engineering which uses biological, biochemical, and chemical engineering principles for the conversion of raw materials to bioproducts in the food, pharmaceutical, fuel, and chemical industries, among others. Emphasis will be placed on the understanding of biomanufacturing principles and processes during the upstream production and downstream purification of bioproducts. Microbial and mammalian cell processes will be discussed. Basic concepts of scale up and the types of bioreactors used in industry will be introduced. Challenges in biomanufacturing and process validation will be discussed as well. The course includes (5) labs in which students will apply some of the concepts learned in class.
Instructor: R. Farnood
Time: Mondays, 1:00 PM - 3:00 PM & Tuesdays, 12:00 PM - 1:00 PM
Place: Mondays: Bahen, #2135 & Tuesdays: Bahen, #024
Mode of Instruction: In Person
This course outlines the methodology for the modelling of biological systems and its applications. Topics will include a review of physical laws, selection of balance space, compartmental versus distributed models, and applications of the conservation laws for both discrete and continuous systems at the level of algebraic and ordinary differential equations. The course covers a wide range of applications including environmental issues, chemical and biochemical processes and biomedical systems.
This course outlines the methodology for the modelling of biological systems and its applications. Topics will include a review of physical laws, selection of balance space, compartmental versus distributed models, and applications of the conservation laws for both discrete and continuous systems at the level of algebraic and ordinary differential equations. The course covers a wide range of applications including environmental issues, chemical and biochemical processes and biomedical systems.
Instructor: N. Yan
Time: Tuesdays, 4:00 PM - 6:00 PM
Place: Galbraith, #220
Mode of Instruction: In Person
This course will teach students about structure, properties and application of natural and biological materials, biomaterials for biomedical applications, and fibre reinforced composites including composites based on renewable resources. The course has a strong focus in fundamental principles related to polymeric material linear elasticity, linear viscoelasticity, dynamic response, composite reinforcement mechanics, and time-temperature correspondence that are critical to understand the functional performance of these types of materials. Novel concepts about comparative biomechanics, biomimetic and bio-inspired material design, and ecological impact are discussed. Key processing methods and testing and characterization techniques of these materials are also covered.
Instructor: E. Master
Time: Tuesday, 3:00 PM - 6:00 PM
Place: Myhal, #480
Mode of Instruction: In Person
The objective of this course is to develop fundamental aspects of microbiology and biochemistry as they relate to energetics and kinetics of microbial growth, environmental pollution and water quality, bioconversions, biogeochemical cycles, bioenergy and other bioproducts.
Instructor: C. Jia
Time: Mondays 9:00 AM - 11:00 AM & Wednesdays 9:00 AM - 10:00 AM
Place: Mondays: Bahen, #2185 & Wednesdays: Wallberg, #219
Mode of Instruction: In Person
The objective of this course is to convey an appreciation of the sources, behaviour, fate and effects of selected toxic compounds which may be present in the environment. Emphasis is on organic compounds, including hydrocarbons, halogenated hydrocarbons and pesticides. The approach will be to examine, for each compound, physical and chemical properties, sources, uses, mechanisms of release into the environment, major environmental pathways and fates (including atmospheric dispersion and deposition), movement in aquatic systems (including volatilization, incorporation into sediments, biodegradation, photolysis, sorption), movement in soils, and bioconcentration. Toxicology and analytical methodology will be described very briefly. Each student will undertake a detailed individual study of a specific toxic compound.
Instructor: E. Acosta
Time: Mondays, 2:00 PM - 5:00 PM
Place: Bahen, #2175
Mode of Instruction: In Person
This course covers basic surface physical chemistry relevant to applied science and engineering materials. Among the topics covered are: Surface structures of both crystalline and non-crystalline materials – relaxation, surface electronic structure – work function, band structure, interfacial phenomena, surface thermodynamics, the Gibbs construct, double layer theory, micellular structure, surface kinetics, catalysis, adsorption, adhesion and wetting. This is a companion course to JTC1135, APPLIED SURFACE ANALYSIS which covers analytical techniques for the study of surfaces and interfaces.
Instructor: N. Weckman
Time: Wednesdays, 11:00AM - 12:00PM
Place: WB116
Mode of Instruction: In Person
Restrictions: This course is only open to MASc and PhD students in Chemical Engineering & Applied Chemistry.
This course exposes graduate students to the latest developments in a wide range of topics in Chemical Engineering and Applied Chemistry. Students are provided with a breadth of understanding of the current trends in the many fields which fall under the umbrella of Chemical Engineering and Applied Chemistry, through seminars given by internationally renowned experts through the Department’s Lectures at the Leading Edge series. This course is mandatory for all MASc and PhD students and is to be taken annually.
Summer 2025 Graduate Courses
No graduate level courses will be offered through ChemE for Summer 2025. Please visit the Faculty of Engineering & Applied Chemistry website for courses available in other departments.
500-Level Courses
MEng students are welcome to take up to three 500-level courses to fulfil their degree requirements.
MASc students can take a maximum of one (0.5 FCE) 500-level course to fulfil their degree requirements.
500-level courses cannot be counted towards fulfilment of PhD degree requirements.
500-level course descriptions are here.
Fall 2025 (TBA)
Instructor: TBA
Time: Lecture - Fridays, 9:00 AM - 12:00 PM; Tutorial - Wednesdays 3:00 PM - 5:00 PM
Place: Wednesdays - BA1200 & Fridays - GB 220
Mode of Instruction: In person
A first course in nuclear engineering intended to introduce students to all aspects of this interdisciplinary field. Topics covered include nuclear technology, atomic and nuclear physics, thermonuclear fusion, nuclear fission, nuclear reactor theory, nuclear power plants, radiation protection and shielding, environment and nuclear safety, and the nuclear fuel cycle.
Instructor: TBA
Time: Lectures - Mondays & Fridays, 11:00 AM - 1:00 PM, Tutorial - Mondays, 12:00 PM - 1:00 PM
Place: Mondays, BA2174, Fridays, SF3201
Mode of instruction: In person
Application of aqueous chemical processing to mineral, environmental and industrial engineering. The course involves an introduction to the theory of electrolyte solutions, mineral-water interfaces, dissolution and crystallization processes, metal ion separations, and electrochemical processes in aqueous reactive systems. Applications and practice of (1) metal recovery from primary (i.e. ores) and secondary (i.e. recycled) sources by hydrometallurgical means, (2) treatment of aqueous waste streams for environmental protection, and (3) production of high-value-added inorganic materials.
Winter 2026 (TBA)
Instructor: TBA
Time: Lecture - Fridays, 9:00 AM - 12:00 PM; Tutorial - Fridays, 12:00 PM - 1:00 PM
Place: Lecture - WB, #219, Tutorial - SF, #2202
Mode of Instruction: In person
This course provides an introduction to Process Safety Management. The historical drivers to improve safety performance are reviewed and the difference between safety management and occupational health and safety is discussed. National and international standards for PSM are reviewed. Risk analysis is introduced along with techniques for process hazard analysis and quantification. Consequence and frequency modelling is introduced. Risk based decision making is introduced, and the course concludes with a discussion of the key management systems required for a successful PSM system.
Instructor: D. Galatro
Time: Lectures - Wednesdays, 3:00 PM - 4:00 PM & Thursdays, 4:00 PM - 6:00 PM; Tutorial - Mondays, 5:00 PM - 6:00 PM
Place: Mondays, WB #255; Wednesdays, MY #030; Thursdays, GB #144
Mode of instruction: In person
This course will teach students how to build mathematical models of dynamic systems and how to use these models for prediction and control purposes. The course will deal primarily with a system identification approach to modelling (using observations from the system to build a model). Both continuous time and discrete time representations will be treated along with deterministic and stochastic models. This course will make extensive use of interactive learning by having students use computer based tools available in the Matlab software package (e.g. the System Identification Toolbox and the Model Predictive Control Toolbox).
Additional Courses
CHE2222H - Safety Training is offered every term. MASc and PhD students must enroll in this course on ACORN in the first term of their program. Students pursuing an MEng project are also required to complete this workshop and should contact the MEng office for details (mengprograms.chemeng@utoronto.ca).
JDE1000H - Ethics in Research is offered each fall and spring. MASc and PhD students will receive registration details via email sometime during the term. Students are not required to enroll via ACORN.
Full list of ChemE graduate course descriptions here
MEng Emphasis courses can be found here
Links to other Engineering timetables can be found here