Applied Mathematics and Data Science, BS

** Beginning with the 2021-22 academic year, the name of this program will change to Data Science. **

Bachelor of Science in Applied Mathematics and Data Science

Normal Time to Completion: Four Years

This program is offered on Main Campus and online.

The Bachelor of Science in Applied Mathematics and Data Science program provides students with the necessary skills to execute effective mathematical analysis in a variety of fields including finance, economics, biology, social sciences, business, and data science. Students will gain experience in programming for data compilation, powerful statistical analysis methods, modeling techniques and strategies, drawing data-based conclusions, and presenting compelling quantitative narratives.

Students completing the Applied Mathematics and Data Science degree need to be well-versed in mathematics, statistics, and computer programming. They also need to work closely with, and speak the language of, field-specific professionals. To that end, students will choose from two concentration options: Life and Physical Science or Big Data. In the Life and Physical Science concentration, students will expand on their general education science selection and can choose from the abundant, progressively challenging selection of courses offered in the science department. Students with this concentration will be prepared to apply their background in collaboration with professionals in the health, pharmaceutical, and science fields. Students in the Big Data concentration will focus on learning and developing programming-based solutions to storing, mining, cleaning, filtering, and ultimately analyzing extreme volumes of data.

Bachelor of Science in Applied Mathematics and Data Science Program Outcomes

1. Identify and collect information needed to define problems that require quantitative solutions.
2. Translate information between field-related contexts and mathematical frameworks.
3. Execute mathematical and computer programming processes with proficiency.
4. Formulate, justify, and evaluate data-based decisions.
5. Design professional and compelling presentations of quantitative information.