Data science is a rapidly evolving and rapidly growing field of study that applies data analysis to many
other disciplines. In order to contribute to both the liberal arts and the professional aspects of the
student’s education, the offerings are planned with the following objectives:
Demonstrate the ability to program in a higher level language (write functions, utilize control flow in a variety of languages and tools such as Python or R)
Demonstrate the ability to think algorithmically
Acquire, manage and manipulate data, including joining data from different sources and formats and restructure data into a form suitable for analysis
Develop the ability to build and assess data-based models.
Demonstrate an understanding of and ability to detect patterns in data, to draw inferences and conclusions supported by the data, and communicate those insights
A capstone research experience (Math 491) or internship experience (Math 495) consisting of a data science project. (May be satisfied with an
independent study or internship in another department with approval by the math department that a data science project was completed). Students must disseminate the results of their project either in a presentation or short paper to the math department faculty.