The Human Language Technology Program offers a Master’s-level certificate, which accompanies a normal MA or MS degree in one of the three human language technology disciplines: Computer Science; Linguistics; Speech, Language, and Hearing Sciences

The explosive growth of the Web and the vast improvements in computing power in the last decade have led to a strong need for education and research in human language technology. Human language technology is an interdisciplinary field that includes the following key technological and scientific areas:

  • Computer Speech Recognition and Understanding
  • Natural Language Understanding and Generation
  • Text-based Information Retrieval
  • Web-based Dialog Agents

CU-Boulder’s interdisciplinary Certificate in Human Language Technology, offered jointly by the Institute of Cognitive Science, the Center for Computational Language and EducAtion Research, the Department of Computer Science, the Department of Linguistics, and the Department of Speech, Language and Hearing Sciences, provides a rich and broad background for students interested in computational tools for human language processing.

Apply for ICS Human Language Technology Certificate by completing the following 3 steps:

Step 1

First be admitted to a Master's, 5-year concurrent Master's or PhD program in one of
the below CU Boulder programs:

           Computer Science
         Speech, Language, Hearing Sciences
Step 2

Contact the HLT Curriculum Committee member in the appropriate department.


         Computer Science 
 Jim Martin,

         Speech, Language, Hearing Sciences
Kathryn Arehart,

Martha Palmer,

Step 3 Your department's HLT Curriculum Committee member will forward your inquiry to
the Institute of Cognitive Science office.












For more information on becoming a University of Colorado graduate student prior to applying for the ICS Human Language Technology Certificate program, contact the following departments/units directly:
         Computer Science
         Speech, Language, Hearing Sciences

For more information on the Cognitive Science Courses contact:
Donna Caccamise
             Associate Director and Academic Program Director
             Institute of Cognitive Science


The curriculum for the certificate consists of five different courses:

  • One semester of programming (CSCI 1300) (waived for those with programming background).
  • Three courses from the core list; at least two of these three must be outside the student’s home department and college.
  • One course from the optional course list (or two from the optional list if programming was waived). Extra courses from the core list (beyond the required three) can also be counted as optional courses.

Three of these five required courses must be taken at the graduate level.


While the certificate only requires CSCI 1300 (Programming) we strongly recommend other programming courses, especially CSCI 2270 (Data Structures), but also LING 5200 (Computational Corpus Linguistics and Python Programming), or TLEN 5833. We also recommend any relevant statistics course, such as SLHS 2100, PSYC 3101, PSYC 5741/5751, or EDUC 5716.

Students must take three courses from this core list. At least two of the three must be outside the student’s home department and college.

Courses in Designing and Using Interactive Language Systems

  • CSCI 4402/5402 Human Language Technology Laboratory
  • CSCI 4839/5839 User Interface Design and Evaluation (previously CSCI 4838/6838)

Courses in Speech and Language Technologies

  • CSCI 5832 Natural Language Processing
  • CSCI 6302 Speech Recognition and Synthesis

Courses in Human Communication

  • SLHS 2010 The Science of Human Communication
  • LING 5030 Phonetics
  • LING 5420 Morphology and Syntax
  • LING 7800 Advanced Computational Linguistics

Students must take at least one other course from this optional list (or two if the programming requirement was waived)

  • COMM 4/5510 Seminar (depends on topic, with permission of instructor)
  • COMM 6200 Seminar on Communication (depends on topic, with permission of instructor)
  • CSCI 3104/6454 Algorithms
  • CSCI 3155 Principles of Programming Languages
  • CSCI 3434/5444 Theory of Computation
  • CSCI 5535 Fundamental Concepts of Programming Languages
  • CSCI 5582 Artificial Intelligence
  • CSCI 6622 Advanced Machine Learning
  • ECEN 4242 Communication Theory
  • ECEN 5612 Noise and Random Processes
  • ECEN 5622 Information Theory and Coding
  • ECEN 5652 Detection and Extraction of Signals from Noise
  • LING 5200 Introduction to Computational Corpus Linguistics
  • LING 5450 Syntactic Analysis
  • LING 6450 Syntactic Analysis
  • LING 7420 Syntactic Theory
  • LING 7430 Semantic Theory
  • PHIL 2440 Symbolic Logic
  • PHIL 4440/5440 Mathematical Logic
  • PSYC 4165 Psychology of Perception
  • PSYC 5185 Cognitive Processes in Reading
  • PSYC 7051 Psychology Research Practicum
  • PSYC/LING 5300 Psycholinguistics
  • PSYC/LING/SLHS 4560 Language Development
  • SLHS 5272 Augmentative Alternative Communication: Theory and Use
  • SLHS 6006 Advanced Hearing Science
  • SLHS 6106 Experimental Phonetics 1
  • SLHS 7202 Motor Control and Speech Production