Pre-university Stem program

Mathematics & Data Science

Early Exposure to Mathematics & Data Science

Pre-University STEM Innovation Program

The Math program introduces students to more advanced
math topics at a younger age, allowing them to gain an early understanding and potentially stimulate interest in pursuing further studies in fields that require advanced mathematical skills.

What you obtain

Foundation Building

The Program provides a strong foundational understanding of key mathematical concepts, including algebra, trigonometry, and calculus. These concepts are integral to many fields, including engineering, physics, economics, and computer science

Universities include University of Waterloo, University of Toronto, University of Calgary, McMaster University, and University of British Columbia

Mastery in Mathematical Concepts:

Students will be able to demonstrate understanding of key mathematical concepts including algebra, trigonometry, and calculus.

Join our students and achieve an academic competitive advantage geared toward STEM fields.

Obtain invaluable experience of life at a university

Courses

Advanced math topics at a younger age.

Physics

Algebra

Advanced Functions

Calculus

Trigonometry

Data Science

Course Details

Understanding of Physics Principles

Students will be able to explain and apply fundamental principles of physics, including forces, motion, energy, and the properties of matter.

Proficiency in Calculus

Students solve complex problems using
principles of calculus, including differentiation and integration.

Command of Trigonometry

Students will apply trigonometric principles and equations to solve problems, particularly those involving angles and lengths in triangles.

Competence in Algebra

Students will solve equations and inequalities, manipulate algebraic expressions, and understand the concept of functions.

Data Science Skills

Students will collect, analyze, and interpret
data, use statistical methods, and understand the principles of machine learning and predictive modeling.

Logical Thinking, Problem-Solving and Critical Thinking

Students will work to demonstrate the ability to think logically and critically, using mathematical reasoning and data analysis to make informed decisions. Students will apply the mathematical and scientific knowledge learned to solve complex real-world problems.

Quantitative Literacy and Modelling:

Students will interpret and create arguments supported by empirical evidence, and to clearly communicate those arguments in a variety of formats.
Students will construct, analyze, and interpret mathematical models, and apply these models to real-world scenarios.

Data Visualization

Students will effectively visualize data, understanding how to best represent data sets and statistical analyses for clear communication.

Resources Provided

  • Math Set
  • Scientific Calculator
  • Stationary
  • Math Resource
  • Math Stream Shirt

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See yourself as a university student, and a successful STEM graduate. Achieve it! Believe it!