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Who Should Enroll?

Computational linguistics is a field that appeals to students with a zeal for both language and computer science and a passion for developing ideas at the intersection of these fields.

The Brandeis Master of Arts program in Computational Linguistics is perfect for students who wish to immerse themselves in the scientific, interdisciplinary study of language from a computational perspective.

This dynamic interdisciplinary program draws on the expertise of faculty members and innovative interdisciplinary research from computer science (artificial intelligence, theory of computation and programming methods), language and linguistics (phonology, syntax, semantics and pragmatics), philosophy, cognitive science and psychology.

In a world where effective communication is in the vanguard, the objective of a computational linguist is to generate advances that shed new light on human linguistics abilities through computational modeling. This field creates opportunities for practical tools that can be of tremendous benefit to society, including automated text analysis, speech recognition, information retrieval, Web search, machine translation, cryptography and computer security, among others.

Computational linguistics is a field with newly growing employment opportunities. The Brandeis M.A. in computational linguistics offers an outstanding opportunity for students to develop expertise in the theoretical foundation of the field while gaining the practical tools needed to apply computational linguistics in solving significant real-world problems.

We offer a two-year M.A. program in computational linguistics, and for Brandeis undergraduates, a five-year combined B.A./M.A. program.

There are several tracks to accommodate students of varying academic backgrounds, including those with little or no computer science, as well as computer science students with little or no linguistics background. For-credit internships with local companies are available in the second year of study, along with the opportunity to conduct cutting-edge research within the department.