Data Science in Astrophysics Minor
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Program description
The minor in Data Science in Astrophysics is designed to be interdisciplinary and integrates data science (statistics, data processing, artificial intelligence) with the field of astrophysics. Students pursuing the minor will receive the training needed to advance the field of astrophysics while simultaneously preparing to be successful professionals and leaders in the modern data-driven workforce.
The curriculum covers the fundamental concepts in statistics, data processing, and data management, as well as the modern machine learning and deep-learning techniques needed for analyzing the ever-increasing astrophysics data sets. Students will have opportunities to conduct frontier research projects using modern astrophysics data sets and will work in interdisciplinary teams mentored by interdisciplinary faculty. They will also have opportunities to develop their professional skills, such as communications and leadership.
The curriculum covers the fundamental concepts in statistics, data processing, and data management, as well as the modern machine learning and deep-learning techniques needed for analyzing the ever-increasing astrophysics data sets. Students will have opportunities to conduct frontier research projects using modern astrophysics data sets and will work in interdisciplinary teams mentored by interdisciplinary faculty. They will also have opportunities to develop their professional skills, such as communications and leadership.
Program last updated
Spring 2025