Computational linguistics is a burgeoning field, and skills are in high-demand in many areas, including speech recognition, artificial intelligence, machine translation, big data, automated text analysis and web search. Brandeis offers three graduate degree programs for students interested in this field.

Individualized Curriculum and Close Relationships with Faculty

Our students enjoy close and individualized teaching, advising, and mentoring relationships with faculty, as well as strong working relationships with fellow students in the program.

For the MS program, the first year curriculum allows students who need it to establish a strong foundation in both computer science and linguistics, while also enabling those with prior background in both fields to begin more advanced coursework from the start. In the second year, students take advanced courses in computational linguistics, as well as courses on applied or theoretically oriented topics within computational linguistics, natural language processing, computer science, and linguistics. 

In the Five-Year BA/MS Program, students complete the first-year coursework of the two-year Computational Linguistics MS degree during their undergraduate studies, and spend the fifth year doing coursework that mirrors the second-year curriculum of the two-year Computational Linguistics MS.

While pursuing their doctoral degree in Computer Science, PhD students have the option to study a range of topics within theoretical and applied computational linguistics.

Excellent Placement After Graduation

Graduates of the programs enjoy a very high placement rate in both industry jobs and PhD programs. Our alumni work or have worked in computational linguistics and natural language processing at companies ranging from Adobe, Amazon, Facebook, General Electric, Google, IBM and IBM Watson, and Intuit, to Athena Health, AVOKE, BBN, Basis Technology, Brigham and Women's Hospital, Callminer, Charles River Analytics, Crimson Hexagon, Luminoso, Linguamatics, The MITRE Corporation, Narrative Science, Partners Healthcare, QPID Health, Rakuten, Raytheon, SAP Labs, UFA Inc. and a range of start-ups in the greater metropolitan areas of Boston, New York City, Philadelphia, Chicago and California.