School of Data Science: Courses

School of Data Science

Courses

• •  DS 1001 - Foundation of Data Science
• •  DS 1002 - Programming for Data Science
• •  DS 2002 - Data Science Systems
• •  DS 2003 - Communicating with Data
• •  DS 2004 - Data Ethics
• •  DS 2022 - Systems I: Intro to Computing - Major
• •  DS 2023 - Design I: Communicating with Data - Major
• •  DS 2024 - Value I: Ethics & Policy in Data Science - Major
• •  DS 2026 - Computational Probability
• •  DS 3001 - Foundations of Machine Learning
• •  DS 3021 - Analytics I: Foundations of Machine Learning
• •  DS 3022 - Data Engineering
• •  DS 3025 - Mathematics for Data Science
• •  DS 3026 - Principles of Inference and Prediction
• •  DS 4002 - Data Science Project
• •  DS 4021 - Analytics II: Machine Learning
• •  DS 4022 - Data Science Project - Major
• •  DS 4023 - Data Design II: Interactive Applications
• •  DS 4024 - Value II: Explainable AI
• •  DS 4121 - Foundations of Text Analytics
• •  DS 4125 - Introduction to Deep Learning
• •  DS 4126 - Computer Vision
• •  DS 4220 - IoT and Sensor Data
• •  DS 4221 - Advanced Databases
• •  DS 4320 - Data by Design
• •  DS 4329 - Data Design Studio
• •  DS 4422 - Technology Regulation and Data Science
• •  DS 4423 - Data, Technology, and Society
• •  DS 4520 - Data Science Applied
• •  DS 4522 - Topics in the Analytics Domain
• •  DS 4523 - Topics in the Systems Domain
• •  DS 4524 - Topics in the Design Domain
• •  DS 4527 - Topics in the Value Domain
• •  DS 4559 - New Course: Data Science
• •  DS 4993 - Independent Study in Data Science
• •  NCDS 110 - Data Science Fundamentals
• •  NCDS 120 - Data Science Projects