Computer Science, Mathematics and Statistics

 

OUAC CODE: TMZ

Whether you choose to study Computer Science, Mathematics or Statistics, you will graduate with insights from all three disciplines, making you a versatile problem solver. At U of T Mississauga, students in all these programs work with professors and graduate students for a well-rounded and supportive learning experience.

Senior students stretch their creativity, entrepreneurial spirit and technical knowledge to produce amazing products with the potential for commercialization. All areas of study lead to Honours Bachelor of Science degrees.

PROGRAMS AND SPECIALIZATIONS

  • Applied Statistics: Numbers are all around us. From the thickness of the ozone layer to the cost of beer, the world is permeated with quantity. This is a program suited for students interested in probability theory and the study of phenomena involving uncertainty (offered as a Minor, Major and Specialist).
  • Bioinformatics: One of our newest specialists, combines cutting-edge technology with molecular biology and math to analyze and manage vast amounts of genomic data. Students interested in computer science and life science should consider Bioinformatics (offered as a Specialist only).
  • Computer Science: Includes courses in the theory and application of information processing. Topics range over computability, databases, data structures, operating systems and artificial intelligence, for example (offered as a Major and Specialist).
  • Geocomputational Science: Provides students with a solid foundation in geographic theory and problem-solving, as well as the computer science skills valued by employers (offered as a Specialist only).
  • Information Security: A new and timely computer science program that focuses on system attack strategies and defense mechanisms like viruses, spyware, privacy, forensics and cryptography (offered as a Specialist only).
  • Mathematical Sciences: Teaches one to think analytically and creatively. Students who develop strong backgrounds in mathematics often have distinct advantages in other fields such as physics, computer science, economics, and finance (offered as a Minor, Major and Specialist).
  • Science Education: Students who are interested in teaching can enrol in the Early Teacher Program. Successfully completing the program requirements guarantees admittance to the Bachelor of Education Program in the Ontario Institute for Studies in Education at the University of Toronto.

WHY CHOOSE U OF T MISSISSAUGA FOR COMPUTER SCIENCE, MATHEMATICS AND STATISTICS?

  • Our expanding department has recently added a number of courses to reflect the direction of applied technology and mathematical sciences in today’s society. For example, upper-year students in computer science work independently to develop innovative projects, such as voice recognition systems for an iPod. Some students’ entrepreneurial projects earn the interest of industry representatives.
  • The field of Bioinformatics reflects the new direction of medicine with future prospects in virtual clinical trials and cancer treatments driven by technology.
  • In 2007, for the second year in a row, one of our faculty received the U of T Mississauga Teaching Excellence Award ‘for outstanding teaching by a faculty member’.

HANDS-ON EXPERIENCE

  • Professional Experience Year (PEY) for students enrolled in the Bioinformatics, Computer Science, Information Security, Mathematics and Statistics programs. This is 16 months of paid work experience. Visit www.pey.utoronto.ca for more information.
  • Senior students and graduate students mentor first- and second-year students to create a supportive learning environment.
  • Paid work opportunities through the Work-Study Program allow students to assist professors with their research.
  • Research opportunities in state-of-the-art labs allow students to discover new applications for information technology and mathematics (e.g. Information Security Lab).

AFFILIATED STUDENT CLUBS

  • Mathematical and Computational Science Society (MCSS)
  • Honours Society

WHAT HIGH SCHOOL PREPARATION DO I NEED?

All programs require:

  • Six Grade 12 U or M courses*
  • English (ENG4U)*
  • Advanced Functions (MHF4U)*
  • Calculus and Vectors (MCV4U)*
  • Mathematics of Data Management (MDM4U) is recommended.*

Bioinformatics requires, in addition to the above, Biology (SBI4U) and Chemistry (SCH4U).*

*This refers to courses from the Ontario Curriculum. We will accept equivalent courses from other academic systems. For details, visit www.adm.utoronto.ca/adm.

WHAT COURSES DO I TAKE?

First year studies in Bioinformatics:

  • BIO152H5: Introduction to Evolution & Evolutionary Genetics
  • CHM140Y5: Matter and Its Transformations
  • MAT102H5: Mathematical Proofs
  • MAT135Y5/137Y5: Calculus
  • CSC108H5: Introduction to Computer Programming
  • CSC148H5: Introduction to Computer Science
  • MAT223H5: Linear Algebra I


First year studies in Computer Science:

  • CSC108H5: Introduction to Computer Programming
  • CSC148H5: Introduction to Computer Science
  • MAT102H5: Mathematical Proofs
  • MAT135Y5/137Y5: Calculus
  • CSC290H5: Communication Skills for Computer Scientists


First year studies in Geocomputational Science:

  • CSC108H5: Introduction to Computer Programming
  • CSC148H5: Introduction to Computer Science
  • MAT102H5: Mathematical Proofs
  • MAT135Y5/137Y5: Calculus
  • GGR117Y5/ENV100Y5: Where on Earth?/The Environment


First year studies in Information Security:

  • CSC108H5: Introduction to Computer Programming
  • CSC148H5: Introduction to Computer Science
  • MAT102H5: Mathematical Proofs
  • MAT135Y5/137Y5: Calculus
  • CSC290H5: Communication Skills for Computer Scientists


First year studies in Mathematics:

  • MAT102H5: Mathematical Proofs
  • MAT134Y5/135Y5/137Y5: Calculus
  • MAT223H5: Linear Algebra I


First year studies in Statistics:

  • MAT134Y5/135Y5/137Y5: Calculus
  • CSC108H5: Introduction to Computer Programming
  • MAT102H5: Introduction to Mathematical Proofs
  • MAT223H5: Linear Algebra
  • STA107H5: An Introduction to Probability & Modelling


AFTER GRADUATION 
Graduates gain research skills, the ability to dissect ideas, analyze and interpret them. These skills can be applied to many areas including: the financial industry, bio-medical industry, information security, software development, government, survey research, teaching.


MORE INFORMATION
Kathleen Kazmierczak
Undergraduate Counsellor
905-828-3801
ugmcs.utm@utoronto.ca
http://www.utm.utoronto.ca/math