康卡迪亞大學(xué)

Crunch numbers to the nth degree and see what happens. When you study computer science and mathematics, you’ll use algorithms and computational theory to create mathematical models or define formulas that solve mathematical problems. In other words, you design new tools that can predict the future. The Computer Applications option gives doubly passionate students the flexibility to combine a traditional computer science degree with a non-traditional field. Our state-of-the-art labs for high-performance computing, networks and artificial intelligence will give you experience with the tools you’ll use in the field. Through labs, lectures and projects, you’ll also: investigate the computational limits of the algorithms and data structures that support complex software systems; develop new applications and tools in multi-disciplinary areas of science and research; explore opportunities for advanced computer modeling and simulation. A Bachelor of Computer Science, a Bachelor of Science or a Bachelor of Arts degree takes a minimum of three or four years (90 - 120 credits) of full-time study, depending on your academic background. The core provides a basic and broad study of theory, mathematical basics, programming methodology, computer architecture, data structures, operating systems, and software engineering. The Mathematics and Statistics option combines a Major in Computer Science with a Major in Mathematics and Statistics. It provides a foundation for integrated studies in computer science and mathematics. The mathematics component of the program includes topics that overlap with computer science, such as modeling, symbolic computation, and combinations, as well as the standard topics of a mathematical curriculum. We offer an honours program to computer science students with high academic standing. You may apply to the honours program once you have completed 30 credits. Given the range of applications in use today, mathematics, statistics and computer science alumni have established careers in fields that include mathematical modelling, data analysis, and design and software development.