9 Best MIT Online Courses For Canadians in 2024

Written by Fiona Thompson

Did you know MIT (Massachusetts Institute of Technology) offers online courses? What’s even more astounding is that they also have free course materials!

We have listed some top picks below to help you find the best course.

Course Name Students Enrolled Reviews
Introduction To Computers And Engineering Problem Solving 2,000+ 1,500+
Foundations Of Software Engineering 1,800+ 1,000+
Project Management 900+ 750+
Introduction To Computer Science And Programming 1,300+ 350+
Optimization Methods in Business Analytics 1,400+ 250+
Introduction to Aerospace Engineering: Astronautics and Human Spaceflight 1,500+ 300+
Software Construction in Java 800+ 450+
Introduction to Machine Learning 800+ 300+
P® Microeconomics 750+ 200+

Introduction To Computers And Engineering Problem Solving

The screenshot from Introduction To Computers And Engineering Problem Solving

This course covers the fundamentals of computer engineering, which include the following topics:

  • design and development of software
  • engineering computational methods and sensing
  • scientific and managerial applications

The program includes topics such as class design, inheritance, graphical user interfaces, numerical methods, streams, threads, sensors, and data structures, among other things. The programming language used in the course is Java.

You can easily download the course material with the same content as the online course version. The file includes readings, lecture notes, instructor insights, assignments, and exams. Discover the course at this link.

Foundations Of Software Engineering

The screenshot from course Foundations Of Software Engineering

This graduate course provides a foundation in modern software development techniques for engineers and information technology professionals.

It includes the following topics:

  • design and development of component-based software
  • modeling, analysis, and visualization of data structures and algorithms
  • fundamental problem-solving techniques
  • web-based services
  • software management and maintenance

The course is also essential for thoroughly understanding image processing, computational geometry, network methods, finite element methods, and e-business applications.

You can get the same course materials as the online course version. These materials include lecture notes, assignments, and projects, among other learning resources. Explore the course by clicking here.

Project Management

The screenshot from the course Project Management

This project management course focuses on the planning and execution of construction projects, particularly infrastructure projects.

The class is divided into three sections:

  • project financing
  • project evaluation
  • project management

This course covers the fundamental tools, skills, and knowledge needed to effectively manage a project from inception to completion, including design, planning, construction, and transition.

Downloading the course will give you access to lecture notes, activity assignments, and online textbooks. Check out the course here.

Introduction To Computer Science And Programming

The screenshot from online course Introduction To Computer Science And Programming

This course is ideal for individuals who have little or no programming experience. Its goal is to give students an understanding of computation’s role in problem-solving.

The course also aims to help students develop confidence in their ability to write small programs that they can use to achieve valuable goals. The Python programming language will be used in the class.

Similar to other MIT courseware programs, you can simply download this course and learn at your own pace. The downloaded file will contain readings, video lectures, assignments, and exams for more comprehensive learning. Discover the course at this link.

Optimization Methods in Business Analytics

the screenshot from course Optimization Methods in Business Analytics

This MIT course will cover the theory, techniques, and applications of optimization. You will also learn about linear and integer programming algebraically and geometrically before application to data issues.

After completing the syllabus, you will learn the following:

  • Theoretical aspects of Linear Programming
  • Basic Julia programming
  • Proficiency with linear and nonlinear solvers

If you want to enroll in this course but have not decided, check the free course version in MIT courseware. 

Introduction to Aerospace Engineering: Astronautics and Human Spaceflight

The screenshot from online course Introduction to Aerospace Engineering: Astronautics and Human Spaceflight

If you are interested in aerospace, this course is for you! The lessons in this course were from a former NASA astronaut, Professor Jeffrey Hoffman. 

This course will teach you about the fundamental ideas behind space exploration and travel, which includes the following topics:

  • The basic concepts behind how rockets function (rocket science)
  • How orbital spacecraft move 
  • Astronaut’s environmental control and life support
  • Fundamental safety and risk management ideas
  • The physical effects of weightlessness on humans

Find the course details right here.

Software Construction in Java

the screenshot from the course Software Construction in Java

This computer science course is the first in a two-course program. It covers topics about applying contemporary software engineering methodologies to create high-quality software.

The duration of the course is 14 weeks. After finishing the program, you will learn the following:

  • Java Programming
  • Software testing
  • Code specifications
  • Abstract data types

Dive into the course by heading over here.

Introduction to Machine Learning

the screenshot from the online course Introduction to Machine Learning

In this MIT course, you will be introduced to the principles, algorithms, and applications of machine learning. It contains notions of representation, over-fitting, generalization, and constructing learning problems.

After completing the course, you will better understand how well-defined machine-learning questions are formulated. Also, you will learn how to use images and temporal sequences for supervised and reinforcement learning.

Computer programming (python), Calculus, and Linear Algebra are prerequisites for this course. Explore the course by clicking here.

AP® Microeconomics

The screenshot from the course AP® Microeconomics

Basic microeconomic principles are introduced in this economics course. You will learn how to assess economic results in terms of equality and efficiency.

You’ll also learn about the appropriate role of the government in setting these outcomes. Additionally, the course will also cover the following topics:

  • Consumer theory
  • Producer theory
  • Market structures
  • Market failures
  • Economic fairness

This MIT course will cover all the material for the Microeconomics AP® exam.

This material will be covered using a combination of clear explanations, practical applications, and graphical and mathematical supplements that go further into the subject. Access the course materials here.

Conclusion

There are thousands of MIT programs and courses available on the different platforms of MIT, such as their Open Learning Library and Courseware. The ones listed above are just the tip of the iceberg.

You will discover more courses on MIT’s website. You can choose whether to enroll in an online class or take advantage of the free course materials.

The courses are available in different learning formats, so that you will have many options. Sign up or download a course now to start your learning journey!

About the author

Fiona Thompson

Fiona Thompson is an education consultant who has dedicated her efforts to assisting international students in coming to study in Canada. However, during her work, she realized that many Canadians were unaware of the affordable online options available for studying within their own country. With her extensive research and experience in the education sector, Fiona decided to create CanadaCourses.ca, a website aimed at helping Canadians find the best online course options available across various industries.

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