Information Security

Information Security

About the Program

Information Security is an interdisciplinary blend of Computer Science and Mathematics. Students will learn about cryptography, network security and digital forensics. The Information Security program provides you with tools for the modern technology driven world. We have courses giving an overview of the field, as well as in-depth courses in the systems, number theory and computation complexity aspects of computer security. 


Honours Bachelor of Science

Program Options


After completing your first year, you'll be asked to confirm what program(s) you wish to study – your Programs of Study. They can be integrated in unique ways to obtain your U of T degree, but must be one of the following three combinations: one Specialist; or two Majors; or one Major and two Minors. You don't need to worry about that now, but if you'd like to learn more about this process, watch our handy video (7 min).

Admission Requirements

You apply to an admission category, which is a collection of similar programs. Once you've accepted an offer of admission to our campus, we go into greater detail about specific program and course selection options.

At the end of your first year, you will choose your program(s), which means that your first year is an excellent opportunity to explore the full breadth of offerings.

Regardless of what you study, remember that you will receive a prestigious University of Toronto degree when you graduate that tells everyone that you are ranked among the best in the world!

OUAC Application Code
Program Course Prerequisites
English, Calculus, Advanced Functions; (recommended: Mathematics of Data Management)
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Approximate Competitive Average
Mid 80s

The admission average is calculated with English (ENG4U) plus the next best five Grade 12 U or M courses. Meeting these minimum requirements does not guarantee you admission to the University. Admission is subject to space availability and competition.

Additional Admission Criteria & Notes

Entry to the Computer Science, Mathematics & Statistics admission category is gained directly from high school. Applicants who have completed any postsecondary studies (including studies at other divisions at the University of Toronto) are not eligible for admission.

The content in this section is based on requirements in the Ontario curriculum.

Find requirements to other common curricula:

Please visit the Admissions section of our site for full requirements.

Discover Your Potential


A University of Toronto startup that uses crowdsourcing to deliver goods to small businesses has been acquired by its biggest customer. Blip Delivery, founded in 2018 by U of T Mississauga students affiliated with ICUBE’s accelerator program, is the Uber of deliveries, says co-founder and CEO Srikanth Srinivas, who is in his final year of studying computer science.

Daniel Singaro

Daniel Zingaro wants to click with his students – literally. Zingaro, an assistant professor, teaching stream, in the Department of Mathematical and Computational Sciences at U of T Mississauga, is considered an international leader in the use of peer instruction, or PI – an active-learning approach that uses clickers to engage students on material.


A new student club at U of T Mississauga is connecting women in science and computing studies with networking and career development opportunities. Since its soft launch in December, the Women in Science and Computing club (or WiSC) has hosted three events, including an exam study session, a film screening and a career panel with a San Francisco-based leader in web development.

Student Experience

Courses You Would Love

Flow Chart

An introduction to computer organization and architecture, using a common CPU architecture (typically MIPS). Core topics include: boolean expressions and logic gates, numerical representations.


An investigation of many aspects of modern information security. Major topics cover: Techniques to identify and avoid common software development flaws which leave software vulnerable to crackers.


Students will define the scope of the problem, develop a solution plan, produce a working implementation, and present their work using written, oral and (if suitable) video reports.

Planning Ahead

Whether you want to land your dream job, conduct groundbreaking research, or start your own business, we can get you there. Here are resources to help you explore your career options.

Career Options

Created by our Career Centre, the Careers by Major database identifies some potential career fields, how to gain related skills and experience, and useful resources and job samples. But always remember, your program of study doesn't have to determine your career!

Program Plans

Program Plans are quick and accessible overviews of the many academic and co-curricular opportunities available to help you get the most out of your UTM experience.

Tip Sheets

The Career Centre offers dozens of tip sheets with helpful information about topics related to searching for work, planning your career, and pursuing further education.

View to the U: An eye on UTM research

View to the U is a podcast that features U of T Mississauga faculty members from a range of disciplines who will illuminate some of the inner-workings of the science labs and enlighten the social sciences and humanities hubs at UTM.

Jessica Burgner-Kahrs

Jessica Burgner-Kahrs is an Associate Professor in the Departments of Mathematical and Computational Sciences at U of T Mississauga and in Mechanical and Industrial Engineering at UofT, and the Director of the Continuum Robotics Laboratory at UTM, a newly established lab. Over the course of this interview Jessica talks about being at the forefront of continuum robotics, what inspires and influences her work in the lab, her global collaborations, and how she got into this field.

Her research focuses on continuum robotics and in particular on their design, modeling, planning and control, as well as human-robot interaction. Her fundamental robotics research is driven by applications in minimally invasive surgery and maintenance, repair, and operations.

Other Programs to Consider

Computer Science

Computer Science

Computer science is concerned in the broadest sense with the study of computation and applications of computing. Its development has been stimulated by collaborations with many disciplines including engineering, the physical and life sciences, mathematics and statistics and commerce. Computer science as a discipline encompasses a wide range of research areas including human-computer interaction, software engineering, numerical analysis, machine learning, and cryptography.

Applied Statistics

Applied Statistics

Today we are bombarded with information from quantitative studies, information generated from the application of statistical methodologies. The Applied Statistics Specialist Program at U of T Mississauga provides students with a solid foundation in the fundamental aspects of probability and introduces students to a broad range of applied statistics methodologies. The Major and Minor Programs in Applied Statistics consist largely of STA courses, and may be combined with programs in other subjects.