The Undergraduate Minor of Data Science in Engineering Analytics and Decision-Making is a 15 credit interdisciplinary credential that offers a path towards developing essential skills in data science with depth in Industrial and Systems Engineering (ISE) content. Students who pursue this minor will have the opportunity to learn from data science instructors & practitioners and engineering faculty in industry and academia, alongside their peers from various colleges. Students will pursue courses in data management, communication, applications, ethics, engineering, 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
DSC 202	Introduction to Data Visualization
DSC 205	Data Communication
Ethics, Policy, & Privacy
DSC 225	Data Science for Social Good
Data Management & Analysis
DSC 406	Exploratory Data Analysis for Big Data
Machine Learning and AI
DSC 412	Exploring Machine Learning
Electives or Internships & Capstones
DSC 405	Data Wrangling and Web Scraping
DSC 410	Data Internship Preparation for Social Impact
DSC 201	Introduction to R/Python for Data Science (Students cannot count both DSC 201 and ISE 135 towards the minor)
Permanent DSC courses not listed here and not used for the first four categories can be used to satisfy the elective or internships/capstones requirement.
Required Depth Courses: At least three courses from the following		9
ISE 135	Computer-Based Modeling for Industrial Engineering (Students cannot count both DSC 201 and ISE 135 towards the minor)
ISE 361	Deterministic Models in Industrial Engineering (Requires ISE 135; or Instructor permission and DSC 201; or Instructor permission and introductory knowledge of Python programming)
ISE 417	Database Applications in Industrial & Systems Engineering
ISE 435	Python Programming for Industrial & Systems Engineers
ISE 437	Data Analytics for Industrial Engineering
ISE 447	Applications of Data Science in Healthcare
BAE 455	R Coding for Data Management and Analysis
ECE 411	Introduction to Machine Learning
NOTE 1: Students in the ISE major and ISE minor cannot count the following courses towards the data science minor: ISE 135, ISE 361.
NOTE 2: 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 3: 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