PHD in Mechanical & Industrial Engineering

at University Of Toronto

• AER1410HF: Topology Optimisation

• APS502H1: Financial Engineering

• CIV1240HS: Building Performance Assessment

• MIE504HS: Applied Computational Fluid Dynamics  

• MIE506H1: MEMS Design and Microfabrication

• MIE507HS: Heating, Ventilating, and Air Conditioning (HVAC)

• MIE515H1: Alternative Energy Systems

• MIE516H1: Combustion and Fuels

• MIE517H1: Fuel Cell Systems

• MIE519H1: Advanced Manufacturing Technologies

• MIE520H1: Biotransport Phenomena

• MIE523H1: Engineering Psychology and Human Performance

• MIE533HS:Waves and Their Applications in Non-Destructive Testing and Imaging 

• MIE540H1: Product Design

• MIE542H1: Human Factors Integration

• MIE550H: Advanced Momentum, Heat and Mass Transfer

• MIE561H1: Healthcare Systems

• MIE562H1: Scheduling

• MIE563H: Engineering Analysis II

• MIE566H1: Decision Analysis

• MIE567H1: Dynamic and Distributed Decision Making

• MIE1001HS: Advanced Dynamics

• MIE1005HF: Theory of Vibrations

• MIE1010HS: Acoustics and Noise Control

• MIE1050HF: Design of Intelligent Sensor Networks

• MIE1052HS: Signal Processing (Formerly MIE1452HS: Signal Processing)

• MIE1064HF: Control Analysis Methods with Applications to Robotics

• MIE1070HY: Intelligent Robots for Society

• MIE1075HF: AI Applications in Robotics

• MIE1076H: AI Applications in Robotics II

• MIE1077HY: AI Applications in Robotics III

• MIE1080HS: Healthcare Robotics

• MIE1101HF: Advanced Classical Thermodynamics

• MIE1115HS: Heat Transfer with Phase Change

• MIE1120HS: Current Energy Infrastructure and Resources

• MIE1123HS: Fundamentals of Combustion

• MIE1128HF: Materials for Clean Energy Technologies

• MIE1129HF: Nuclear Engineering I

• MIE1130HS: Nuclear Engineering II

• MIE1132HS: Heat Exchanger Design

• MIE1199HS: Special Topics in Thermal Sciences - "Thermal Management of EV Batteries and Chargers’’

• MIE1201HF: Advanced Fluid Mechanics I

• MIE1207HF: Structure of Turbulent Flows

• MIE1208HS: Microfluidic Biosensors

• MIE1210HF: Computational Fluid Mechanics and Heat Transfer

• MIE1212HS: Convective Heat Transfer

• MIE1222HF: Multiphase Flows

• MIE1232HS: Microfluidics and Laboratory-on-a-Chip Systems

• MIE1240HF: Wind Power

• MIE1241HF: Energy Management

• MIE1299HS: Special Topics in Fluid Mechanics

• MIE1303HF: Fracture Mechanics

• MIE1359HS: Engineering Cell Biology and Micro/Nanoengineered Platforms

• MIE1401HF: Human Factors Engineering

• MIE1402HF: Experimental Methods in Human Factors Research

• MIE1403HF: Analytical Methods in Human Factors Research

• MIE1411HS: Design of Work Places

• MIE1412HS: Human-Automation Interaction

• MIE1413HS: Statistical Models in Empirical Research

• MIE1414HS: Human Factors in Transportation

• MIE1415HS: Analysis and Design of Cognitive Work

• MIE1444H: Engineering for Psychologists

• MIE1505HS: Enterprise Modelling

• MIE1510HS: Formal Techniques in Ontology Engineering

• MIE1512HS: Data Analytics

• MIE1513HS: Decision Support Systems

• MIE1514HF: Systems Design and Engineering: A Product Perspective

• MIE1516HS: Structured Learning and Inference

• MIE1517HS:  Introduction to Deep Learning    Course Delivery:

• MIE1603HS: Integer Programming (for Research students)

• MIE1605HF: Stochastic Processes

• MIE1607HS: Stochastic Modeling and Optimization

• MIE1612HF: Stochastic Programming and Robust Optimization

• MIE1613HS: Stochastic Simulation

• MIE1615HS: Markov Decision Processes

• MIE1616HS: Research Topics in Healthcare Engineering

• MIE1619HS: Constraint Programming and Hybrid Optimization

• MIE1620HF: Linear Programming and Network Flows

• MIE1621HF: Non-Linear Optimization

• MIE1622HS: Computational Finance and Risk Management

• MIE1623HS: Introduction to Healthcare Engineering

• MIE1624HF: Introduction to Data Science and Analytics

• MIE1624HF: Introduction to Data Science and Analytics

• MIE1624HS: Introduction to Data Science and Analytics

• MIE1626HS: Data Science Methods and Quantitative Analysis

• MIE1628HF: Cloud-Based Data Analytics (formerly Big Data Science)

• MIE1628HS: Cloud-Based Data Analytics (formerly Big Data Science)

• MIE1628HY: Cloud-Based Data Analytics (formerly Big Data Science)

• MIE1666HF: Machine Learning for Mathematical Optimization    Course Delivery:

• MIE1699HF: Special Topics in Operations Research

• MIE1705HF: Thermoplastics Polymer Processing

• MIE1706HS: Manufacturing of Cellular and Microcellular Polymers

• MIE1707HS: Structure-Property Relationships of Thermoplastic and Composite Foams

• MIE1708HS: Collision Reconstruction

• MIE1709HF: Continuum Mechanics

• MIE1714HF: Failure Analysis

• MIE1715HF: Life Cycle Engineering

• MIE1718H: Computer Integrated Manufacturing

• MIE1721HS: Reliability

• MIE1723HF: Engineering Asset Management

• MIE1725HF: Soft Materials and Machines

• MIE1740HS: Smart Materials and Structures    Not offered Winter 2023.

• MIE1745HF: Surface Engineering

• MIE1804H1: Finite Element Analysis in Engineering Design

• MIE1809HS: Advanced Mechatronics

• MIE2002H: Readings in Industrial Engineering I

• MIE2003H: Readings in Industrial Engineering II

• MIE2004H: Readings in Mechanical Engineering I

• MIE2005H: Readings in Mechanical Engineering II

• MSE1043HS: Composite Materials Engineering

• TEP1502HF: Leadership in Product Design

Please note that meeting the minimum requirements does not guarantee admission. The Graduate Office cannot provide assessments of credentials prior to application:
 

• A master's degree with high academic standing from a recognized university (see Alternate Paths to PhD below)

• Minimum GPA requirement of 3.3 (B+; 77-79%) in the previous two years of graduate study. 

Application pre-requisites:
 

• online application Transcripts English Language Requirements Resume/C.V. Letter of Intent: 2 references

Annual tuition fees:
 

• CA$ 9,114 (Fees mentioned may differ from the actual amount)