Approved Qualifying Courses

Any graduate course (600-level or higher) offered by the Language Technologies Institute is a qualifying course. In addition, any course from this list is an approved qualifying course:

  • 02-712 Computational Models for Biological Modeling and Simulation
  • 05-631 Software Structures for User Interfaces
  • 05-813 Human Factors
  • 10-605 Machine Learning With Large Datasets
  • 10-623 Generative AI
  • 10-703 Deep Reinforcement Learning & Control
  • 10-708 Probabilistic Graphical Models
  • 16-720 Computer Vision
  • 16-824 Visual Learning and Recognition
  • 17-631 Information Security, Privacy & Policy
  • 17-781 Mobile and IoT Computing Services 

Breadth Courses

    • Human Language
      • 11-611 Natural Language Processing
      • 11-624 Human Language for Artificial Intelligence
      • 11-711 Advanced NLP
      • 11-722 Grammar Formalisms
      • 11-724 Human Language for Artificial Intelligence
      • 11-727 Computational Semantics for NLP
      • 11-737 Multilingual NLP
      • 11-824 Subword Modeling
    • Language Technology Applications
      • 11-642 Search Engines
      • 11-688 Concepts in Digital Multimedia and Cyber Forensics
      • 11-692 Speech Technology for Conversational AI
      • 11-697 Introduction to Question Answering
      • 11-751 Speech Recognition & Understanding
      • 11-767 On-Service Maching Learning
      • 11-797 Question Answering
      • 11-830 Ethics, Social Biases, and Positive Impact in Language Technologies

    • Machine Learning
      • 10-601 Introduction to Machine Learning (Master's)
      • 10-605 Machine Learning with Large Datasets
      • 10-701 Introduction to Machine Learning (PhD)
      • 10-707 Advanced Deep Learning
      • 10-708 Probabalistic Graphical Models
      • 10-714 Deep Learning Systems
      • 10-715 Advanced Introduction to Machine Learning
      • 11-641 Machine Learning for Text and Graph-Based Mining
      • 11-661 Language and Statistics
      • 11-663 Applied Machine Learning
      • 11-667 Large Language Models Methods and Application
      • 11-747 Neural Networks for NLP
      • 11-755 Machine Learning for Signal Processing
      • 11-761 Language and Statistics
      • 11-777 Multimodal Machine Learning
      • 11-785 Introduction to Deep Learning
      • 15-642 Machine Learning Systems