AIML Courses at Boston University
A list of AIML courses at Boston University
Here you can find:
AIML Courses at B
Computer Science Courses at B
Data Science Courses at B
Linguistics Courses at B
Course I'm taking
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H2 Computing and Data Sciences
- CDS DS 340 - Introduction to Machine Learning and AI
- CDS DS 444 / 644 - Machine Learning for Business Analytics
- CDS DS 480 / 680 - Data, Society, and AI Ethics
- CDS DS 542 - Deep Learning for Data Science
- CDS DS 543 - Introduction to Reinforcement Learning
- CDS DS 592 - Special Topics in Mathematical and Computational Sciences
- Introduction to Sequential Decision Making (Spring 2025)
- CDS DS 593 - Special Topics in Data Science Methodologies
- Theory and Applications of Large Language Models (Spring 2026)
- CDS DS 598 - Special Topics in Machine Learning
- Introduction to Reinforcement Learning (Spring 2024)
- Deep Learning for Data Science (Spring 2024)
H2 Computer Science
- CAS CS 440 - Introduction to Artificial Intelligence
- CAS CS 505 - Introduction to Natural Language Processing
- CAS CS 523 - Deep Learning
- CAS CS 541 - Applied Machine Learning
- CAS CS 542 - Principles of Machine Learning
- CAS CS 585 - Image and Video Computing
- CAS CS 599 - Advanced Topics in Computer Science
- Multimodal Machine Learning (Spring 2021, Spring 2025, Spring 2026)
- Privacy in Statistics and Machine Learning (Spring 2021, Spring 2023, Spring 2025)
- Algorithms for Machine Learning (Fall 2025)
- Advanced NLP Seminar: Interpretable Machine Learning (Fall 2025)
- Advanced Topics in Computer Vision (Fall 2025)
- Applied Machine Learning (Fall 2022)
- AI Agents and Human-AI Interaction (Fall 2025)
- GRS CS 640 - Artificial Intelligence
H2 Linguistics
- CAS LX 390 / GRS LX 690 / MET LX 590 - Topics in Linguistics
- Metrics and Evaluation in Natural Language Processing (Spring 2023, Spring 2024)
- Contemporary Research in Neural Network Models of Language (Fall 2025)
- Large Language Models (Spring 2026)
- CAS LX 394 / GRS LX 694 / MET LX 594 - Introduction to Programming for Computational Linguistics
- CAS LX 496 / GRS LX 796 / MET LX 596 - Computational Linguistics
H2 Mathematics and Statistics
- CAS MA 679 - Applied Statistical Machine Learning
- CAS MA 751 - Statistical Machine Learning
H2 Electrical and Computer Engineering
- ENG EC 414 - Introduction to Machine Learning
- ENG EC 418 - Introduction to Reinforcement Learning
- ENG EC 503 - Introduction to Learning from Data
- ENG EC 523 - Deep Learning
- ENG EC 525 - Optimization for Machine Learning
H2 Biomedical Engineering
- ENG BE 559 - Foundations of Biomedical Data Science and Machine Learning
- ENG BE 562 - Computational Biology: Machine Learning Fundamentals
H2 Bioinformatics
- CDS BF 550 - Foundations of Programming, Data Analytics, and Machine Learning in Python
H2 Questrom School of Business
- QST BA 576 - Machine Learning for Business Analytics
- QST BA 810 - Supervised Machine Learning
- QST BA 820 - Unsupervised and Unstructured Machine Learning
- QST MF 815 - Advanced Machine Learning Applications for Finance
- QST MF 850 - Deep Learning, Statistical Learning
- QST MK 842 - Machine Learning for Business Analytics
- QST IS 883 - Deploying Generative AI in the Enterprise
- QST IS 911 - Generative AI & Causal Inference with Text
H2 Writing Program
- CAS WR 152 - Writing, Research, & Inquiry with Digital/Multimedia Expression
- The Philosophy and Ethics of Artificial Intelligence
- CAS WR 153 - Writing, Research, & Inquiry with Creativity/Innovation
- The Philosophy and Ethics of Artificial Intelligence (Summer 2025)
- CAS WR 250 - AI Literacy for Writing
H2 Computing and Data Sciences (Online)
- CDS DX 603 - Machine Learning Fundamentals
- CDS DX 699 - AI for Leaders
- CDS DX 703 - Advanced Machine Learning & AI
- CDS DX 704 - AI in the Field