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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

Course List

Code	Title	Hours	Counts towards
Required DSC Courses: At least one course from each category		6
Data Communication
¶Ù³§°äÌý202	Introduction to Data Visualization
¶Ù³§°äÌý205	Data Communication
Ethics, Policy, & Privacy
¶Ù³§°äÌý225	Data Science for Social Good
¶Ù³§°äÌý235	Introduction to Data Science for Cybersecurity
Data Management & Analysis
¶Ù³§°äÌý201	Introduction to R/Python for Data Science
¶Ù³§°äÌý406	Exploratory Data Analysis for Big Data
Machine Learning and AI
¶Ù³§°äÌý412	Exploring Machine Learning
Electives or Internships & Capstones
¶Ù³§°äÌý405	Data Wrangling and Web Scraping
¶Ù³§°äÌý410	Data Internship Preparation for Social Impact
Required Depth Courses		6
One three-credit course
³Ò¶ÙÌý575	Accessible Design
One three-credit course from the following list
³§°ÕÌý311	Introduction to Statistics
°ä³§°äÌý110	Computer Science Principles - The Beauty and Joy of Computing (Restrictions: Cannot have taken °ä³§°äÌý111 or °ä³§°äÌý112 or °ä³§°äÌý113 or °ä³§°äÌý116)
°ä°¿²ÑÌý289	Science Communication and Public Engagement
³§°Õ³§Ìý302	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