# Mathematical Data Science (Minor)

The Undergraduate Minor in Mathematical Data Science is a 15 credit interdisciplinary credential that offers a path towards developing essential skills in data science with depth in fundamental mathematical content. Students who pursue this minor will have the opportunity to learn from data science instructors & practitioners and mathematics faculty in industry and academia, alongside their peers from various colleges. Students will pursue courses in data management, communication, applications, ethics, mathematical foundations of data science, and more, in addition to choosing from electives of interest.

## Plan Requirements

Code | Title | Hours | Counts towards |
---|---|---|---|

Required DSC Courses: At least one course from each category | 6 | ||

Data Communication | |||

Introduction to Data Visualization | |||

Ethics, Policy, & Privacy | |||

Data Science for Social Good | |||

Introduction to Data Science for Cybersecurity | |||

Data Management & Analysis | |||

Exploratory Data Analysis for Big Data | |||

Machine Learning and AI | |||

Exploring Machine Learning | |||

Electives or Internships & Capstones | |||

Data Wrangling and Web Scraping | |||

Data Internship Preparation for Social Impact | |||

Required Depth Courses: At least three courses from the following | 9 | ||

Linear Algebra Requirements (one of the following) | |||

Introductory Linear Algebra and Matrices | |||

Introduction to Linear Algebra | |||

Mathematical Foundations of Data Science (required) | |||

Mathematical Foundations of Data Science | |||

Data-focused Math Electives (Student must take at least one additional 3-credit upper division math course with connections to data science) | |||

Mathematics of Scientific Computing | |||

Mathematical Models in Life Sciences | |||

Topics courses may be used for Data-focused Math Electives as approved by the Math Department (math minor coordinator) | |||

NOTE 1: Students pursuing multiple Data Science Academy credentials must have at least 2 distinct 1-credit DSC courses and 2 distinct 3-credit depth courses between any two credentials (8 distinct credits total). | |||

NOTE 2: Per university requirements courses already used to satisfy two or more credit requirements cannot also be used to satisfy the data science minor (or any third requirement). | |||

Total Hours | 15 |