The Department of Mathematics and Computer Science seeks to provide students with a sound and rigorous foundation in quantitative analysis, reasoning, and computational proficiency. A key outcome is that this knowledge and understanding will transcend the study of mathematics alone and be applied by the student in each of his areas of study. We envision mathematics as the intellectual bond among all subjects, most notably those that involve scientific inquiry and data analysis.
Through a combination of theory, practical applications and real-world examples, students are guided through three inter-related pillars of quantitative reasoning: the traditional Algebra to Calculus track which forms the basis of all computational proficiency; the Statistics and Data Science track which grows increasingly important in society as the volume of data grows at an explosive rate and the need to discern its meaning becomes increasingly important; and the Computer Science track which helps students explore, in a fully hands-on manner, the tools and techniques for solving problems and creating new applications to meet the demands of an increasingly technology- and data-centric society.
This integrated approach is designed to prepare students with the competency to develop a robust set of highly adaptive problem-solving skills, provide contextual inference to their solutions, and ultimately to be able to thoughtfully articulate, not only an answer but also the meaning of their solutions.