This one-year program is designed to give students the training in computational linguistics required for positions in the field. Program requirements

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Students must complete 43 credits, in four quarters, including nine credits at the 500-600 level, and ten credits at the 700 level (Master's thesis). Students will complete a core curriculum and several electives in a calendar year. Part-time study options are also available. Please contact us for details.

Non-course elements of the curriculum

• Master's project, preferably conducted as a 6-10 week internship, and written as an MA thesis.
• 2-day orientation which will give students a program overivew and contextualize the coursework in the program.
• A year-long series of talks by computational linguists working in industry about their work, including both product- and research-focused topics.

Required course work

• Introduction to Linguistic Phonetics
• Introduction to Syntax for Computational Linguistics
• One additional 400- or 500-level course in phonetics, phonology, morphology, syntax, semantics, or pragmatics
• Shallow Processing Techniques for Natural Language Processing
• Deep Processing Techniques for Natural Language Processing
• Advanced Statistical Methods in Natural Language Processing
• Systems/Applications
• One elective in computational linguistics and one more elective in computational linguistics or a related area

Please see the courses page for detailed descriptions.