Carleton University

Overview

The Algorithms program at Carleton University provides a robust foundation in the mathematical and computational principles that underpin modern software and data systems. Students will explore the design, analysis, and testing of algorithms that drive applications across various domains, including search engines, networks, and data-driven decision-making systems.

What you'll study

Typical curriculum themes

• Foundational concepts in discrete mathematics and computational reasoning
• Core computer science coursework integrated with algorithm-focused studies
• Data structures and algorithm design tailored for contemporary data and networked systems
• Practical problem-solving through the implementation, analysis, and testing of algorithms

Example courses

• Computational Thinking for Arts and Social Science Students
• Discrete Structures
• Abstract Data Types and Algorithms
• Computer Graphics
• Algorithms for Modern Data Sets

What to expect throughout the degree

• Progression from foundational theory to advanced applied algorithm design
• Increased focus on performance analysis, including time and space complexity
• Opportunities to engage with algorithmic techniques relevant to data-intensive and distributed environments
• Capstone or senior project requirements may apply depending on the specific degree pathway

Entry requirements

Admission to the Algorithms program typically considers a student's academic background, emphasizing the strength of their secondary or high school record. Specific GRE, GMAT, or GPA scores are generally not mandated for this program.

Career prospects

Graduates of the Algorithms program can pursue a variety of career paths in technology and data analysis. Potential roles include software developer, data scientist, systems analyst, and algorithm engineer. The skills gained through this program prepare students for the growing demand for professionals skilled in algorithm design and computational problem-solving across diverse industries.