Program Overview

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. (Cross-curricular Skill: Inquiry and Analysis; Critical and Creative Thinking; Problem Solving)
• Analyze, evaluate, and create mathematically rigorous arguments.(Cross-curricular Skill: Inquiry and Analysis; Critical and Creative Thinking)
• Use contemporary mathematical, statistical, and educational software and technology to create models, analyze data, or explain concepts as appropriate for student’s focus. (Cross-curricular Skill: Critical and Creative Thinking; Problem Solving)
• 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. (Cross-curricular Skill: Information Literacy)
• Communicate complex mathematical, statistical, or mathematics pedagogical ideas clearly and succinctly both in writing and verbally as appropriate for student’s focus. (Cross-curricular Skill: Inquiry and Analysis)
• Exhibit strength in at least one career-focused or graduate school preparatory area of mathematics or statistics. (Cross-curricular Skill: Critical and Creative Thinking)
• 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. (Cross-curricular Skill: Diversity, Inclusion and Equity)