Mathematical & Physical Sciences

The math and physics behind everything else: a rigorous foundation for careers in research, engineering, data science, and education.

Overview

Mathematical & Physical Sciences provides a rigorous grounding in pure and applied mathematics alongside classical and modern physics. Students build the analytical and problem-solving foundation used across engineering, computing, finance, and the natural sciences, with opportunities to apply it through research projects and modeling work.
What you'll learn in the Mathematical & Physical Sciences program

What you'll learn in the Mathematical & Physical Sciences program

Gain valuable skills to take your career to the next level:

  • Calculus, linear algebra, and differential equations
  • Classical mechanics, electromagnetism, and modern physics
  • Mathematical modeling and numerical methods
  • Scientific computing and data analysis
  • Integration of theory with research projects

Admission requirements

Applicants should hold a Baccalaureate (C or D stream) with a minimum score of 12/20 or a GCE A Level with at least 12 points, including a B grade in Mathematics and Physics.
Admission requirements

Curriculum

The curriculum builds the mathematical and physics foundation used across engineering, computing, and research.

14 General Education Courses
30 Major Education Courses
Calculus I course image
4 Credits

Calculus I

limits, derivatives, and integrals

Classical Mechanics course image
4 Credits

Classical Mechanics

motion, forces, energy, and conservation laws

Linear Algebra course image
3 Credits

Linear Algebra

vector spaces, matrices, and linear transformations

Introduction to Scientific Computing course image
3 Credits

Introduction to Scientific Computing

numerical methods and computational tools for science and engineering

Flexibility

A specialized curriculum lets students focus on a specific area, gaining advanced knowledge and practical skills for specialized careers.

Adaptability to Career Goals

The curriculum is modular, letting students lean toward pure mathematics, applied physics, or scientific computing.

Research Partnerships

Ties with research institutions enable access to advanced computing resources and collaborative research.

Tech-Enhanced Teaching

Faculty use computational tools and simulation software to bring abstract concepts to life.

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