Data Science with Graphic and Experience Design (Certificate)
The Undergraduate Certificate of Data Science with Graphic and Experience Design is a 12 credit interdisciplinary credential that offers a path towards developing essential skills in data science with depth in Graphic & Experience Design (GXD) content. Students who pursue this certificate 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 | 6 | ||
One three-credit course | |||
Accessible Design | |||
One three-credit course from the following list | |||
Introduction to Statistics | |||
Computer Science Principles - The Beauty and Joy of Computing (Restrictions: Cannot have taken CSC 111 or CSC 112 or CSC 113 or CSC 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 | 12 |