Undergraduate Courses in AI

Academic departments at Stony Brook offer a rich variety of undergraduate courses and programs in Artificial Intelligence and related fields.

Here we summarize the offerings of particular departments:

Program Offerings

Specialization in Artificial Intelligence and Data Science

The Specialization in Artificial Intelligence and Data Science emphasizes modern approaches for building intelligent systems using machine learning. It requires four courses selected from the list here. The four courses must include at least two core courses. Students may declare their participation in the specialization after completing two core courses.

Course offerings

• AMS 316: Introduction to Time Series Analysis
• AMS 317: Introduction to Linear Regression Analysis
• AMS 380: Data Mining

Computer Science

1. Core Courses

• CSE 351: Introduction to Data Science
• CSE 352: Artificial Intelligence
• CSE 353: Machine Learning
• CSE 357: Statistical Methods for Data Science

2. Electives

• CSE 323: Human-Computer Interaction
• CSE 327: Fundamentals of Computer Vision
• CSE 332: Introduction to Visualization
• CSE 354: Natural Language Processing
• CSE 371: Logic
• CSE 378: Introduction to Robotics
• CSE 487: Research in Computer Science*
• CSE 495: Senior Honors Research Project I OR
• CSE 496: Senior Honors Research Project II*

*Special topic or research project must be in artificial intelligence or data science. 

We also offer:

• A rewarding Honors Program in Computer Science, and
• Joint BS/MS program in Computer Science and joint BS/MBA programs in Computer Science (CSE) and Information Systems (ISE)

Our undergraduate program in Computer Science is accredited by the Computing Accreditation Commission of ABET, http://www.abet.org.

Economics

• ECO 322: Data Science and Machine Learning in Economics

Electrical Engineering