Data Science with Graphic and Experience Design (Minor)
The Undergraduate Minor of Data Science with Graphic and Experience Design is a 15 credit interdisciplinary credential that offers a path towards developing essential skills in data science with depth in Graphic and Experience Design (GXD) content. Students who pursue this minor will have the opportunity to learn from data science instructors & practitioners and Graphic Design faculty in industry and academia, alongside their peers from various colleges. Students will pursue courses in data management, communication, applications, ethics, data visualization & representation, and more, in addition to choosing from electives of interest.
Plan Requirements
Required Courses
| Code | Title | Hours | Counts towards |
|---|---|---|---|
| Required DSC Courses: At least one course from each category | 6 | ||
| Data Communication | |||
| Introduction to Data Visualization | |||
| Data Communication | |||
| Ethics, Policy, & Privacy | |||
| Data Science for Social Good | |||
| Introduction to Data Science for Cybersecurity | |||
| Data Management & Analysis | |||
| Introduction to R/Python for Data Science | |||
| 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 | 9 | ||
| One six-credit studio | |||
| Advanced Graphic Design Studio (Students must take either the SAS or LAS 骋顿听400 Studio. Prerequisite: 骋顿听301) | |||
| One three-credit course from the following list | |||
| Introduction to Statistics | |||
| Computer Science Principles - The Beauty and Joy of Computing (Restrictions: Cannot have taken 颁厂颁听111 or 颁厂颁听112 or 颁厂颁听113 or 颁厂颁听116) | |||
| Science Communication and Public Engagement | |||
| Contemporary Science, Technology and Human Values (Prerequisite: Sophomore standing) | |||
| 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 certificate (or any third requirement). | |||
| Total Hours | 15 | ||