Mathematics and Data Science

Student in front of chalkboard

“The laws of nature are written by the hand of God in the language of mathematics.” 

—Galileo Galilei

With a Data Science (BS), Mathematics minor, or Data Science minor from Seattle Pacific, you’ll become competent in the mathematics required for your chosen field — and position yourself to serve and lead in your community.

Through hands-on learning and ethical inquiry, students prepare for careers in data-driven industries, applying their expertise across diverse fields.

Pursuing a Mathematics minor can equip you with analytical and problem-solving skills that open doors to diverse career opportunities in today’s competitive job market.

The Data Analytics minor can benefit you in nearly every professional domain, including business and government, health and social services, and science and education.

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Graduates from the Department of Mathematics and Data Science have pursued advanced degrees and careers in data analysis, actuarial work, statistics, legal fields, programming, teaching, and more.

Courses in the Department of Mathematics and Data Science are designed to support students in a wide variety of disciplines across the university, enabling them to become competent in the mathematics and statistics required for their chosen fields. Students completing individual courses will demonstrate competence in the core topics of the course and will further develop their ability to use quantitative methods for problem-solving and decision-making. They will also develop an increased appreciation for the beauty and utility of mathematics and statistics.

Learning outcomes for students completing a major in Data Science include: 

  1. Data analysis: Graduates will be able to analyze data using mathematical, statistical, and computational tools to solve real-world problems.
  2. Data management: Graduates will be able to acquire, clean, organize, and manage data from a variety of sources and document processes used to ensure reproducibility of analyses.
  3. Technological tools: Graduates will develop proficiency with relevant technological tools for analyzing and managing data, including multiple programming languages.
  4. Communication: Graduates will be able to effectively communicate results of data analyses in written, verbal, and graphical presentations.
  5. Ethical considerations: Graduates will be able to identify and evaluate social, ethical, and theological implications of data science projects.
Otto Miller Hall at Seattle Pacific University

Mathematics
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Explore the Mathematics courses offer. See how they can fit into your schedule.