Kurt Cogswell, Department Head
Department of Mathematics and Statistics
Chicoine Architecture, Mathematics and Engineering Hall 209
The Data Science Specialization of the Mathematics degree program provides an outstanding educational experience to students interested in any of the wide range of excellent career or graduate school choices available in the data science. Graduates gain all the mathematical expertise associated with the B.S. in Mathematics degree program while simultaneously building substantial additional expertise in the mathematical, statistical, and computational methods of data science. Graduates are thus prepared for any post-graduation outcome including immediate entry into the professional world or further study in a pursuit of a Master’s degree or a Ph.D. in mathematics, statistics, or data science.
Student Learning Outcomes
Upon completion of the Mathematics major, students will be able to:
- Apply concepts and methods from Calculus and Linear Algebra.
- Analyze, evaluate, and create mathematically rigorous arguments.
- Use contemporary mathematical, statistical, and educational software and technology to create models, analyze data, or explain concepts as appropriate for student’s focus.
- Work as part of a team to solve a complex mathematical or statistical problem.
- Demonstrate mathematical independence by critically reading, understanding and re-explaining mathematical, statistical, or mathematics pedagogy resources.
- Communicate complex mathematical, statistical, or mathematics pedagogical ideas clearly and succinctly both in writing and verbally as appropriate for student’s focus.
- Exhibit strength in at least one career-focused or graduate school preparatory area of mathematics or statistics.
- Understand and appreciate the contributions to the field of mathematics and statistics by a diverse group of individuals and how the student fits and works in this group.
A grade of “C” or above is required in all MATH and STAT courses.
Course Delivery Format
Program courses are delivered on campus, in classroom and laboratory settings, and online.