Computational Linguistics MS

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Enter the red-hot human language technologies industry with an advanced degree in an interdisciplinary field that combines studies in studies in computer science, statistics, language, cognitive science, psycholinguistics and artificial intelligence.

The Departments of Linguistics and Computer Science and Engineering jointly participate in a Master of Science in Computational Linguistics. The mission of the program is to prepare students for a career in the Human Language Technologies industry. This program is on the STEM OPT extension list (CIP number 30.1801).

Required Core (30 credits)

LIN 515LEC - Syntax 1 Credits: 3
LIN 531LEC - Phonetics Credits: 3
LIN 538LEC - Semantics Credits: 3
LIN 543LEC - Semantics 2 Credits: 3
CSE 503LR - Computer Science for Non Majors Credits: 3
CSE 535LEC - Information Retrieval Credits: 3
LIN 567LEC - Computational Linguistics Credits: 3
or
CSE 567LEC - Computational Linguistics Credits: 3

Select 1 from:

LIN 667LEC - Advanced Topics in Computational Linguistics Credits: 3
CSE 635LEC - Natural Language Processing and Text Mining Credits: 3
CSE 667LEC - Advanced Topics in Computational Linguistics Credits: 3
CSE 676LEC - Deep Learning Credits: 3

Advanced Syntax Course

Select 1 from:

LIN 526LEC - Comp Syn Theory Credits: 3
LIN 552LEC - Head-Driven Phrase Structure Grammar Credits: 3
LIN 535LEC - Syntax 2 Credits: 3
LIN 614SEM - Current Syntactic Theory Credits: 1 - 3

Computer Science Course

Select 1 from:

CSE 574LEC - Introduction to Machine Learning Credits: 3
CSE 596LEC - Introduction to the Theory of Computation Credits: 3

Electives & Culminating Experience (6 credits)

Electives (3-6 credits)

Number of elective credits may vary depending on choice made to complete the culminating experience. Be sure to complete enough elective credit to reach 30 minimum total credit hours.

Electives to be chosen in agreement with your advisor. Other classes may be taken with the approval of the Computational Linguistics Director.

LIN 623SEM - Advanced Lin Credits: 1 - 3
BMI 503SEM - Biomedical Informatics Credits: 3
CDS 687SEM - Sp Top Credits: 3
COM 504LEC - Research Methods Credits: 3
COM 518LEC - Statistics I Credits: 3
CSE 505LEC - Fundamentals of Programming Languages Credits: 3
CSE 531LEC - Analysis of Algorithms I Credits: 3
CSE 555LEC - Introduction to Pattern Recognition Credits: 3
CSE 563LEC - Knowledge Representation Credits: 3
CSE 566LEC - Wireless Networks Security Credits: 3
CSE 573LEC - Introduction to Computer Vision and Image Processing Credits: 3
CSE 574LEC - Introduction to Machine Learning Credits: 3
CSE 596LEC - Introduction to the Theory of Computation Credits: 3
CSE 601LEC - Data Mining and Bioinformatics Credits: 3
CSE 635LEC - Natural Language Processing and Text Mining Credits: 3
CSE 674LEC - Advanced Machine Learning Credits: 3
CSE 676LEC - Deep Learning Credits: 3
EAS 502LEC - Introduction to Probability Theory for Data Science Credits: 3
LIN 504LEC - Discourse Pragmatics Credits: 3
LIN 514LEC - Corpus Linguistics Credits: 3
LIN 552LEC - Head-Driven Phrase Structure Grammar Credits: 3
PSY 642SEM - Psycholinguistics Credits: 3
PSC 508SEM - Basic Statistics for Social Sciences Credits: 3

Culminating Experience: Project (0-3 credits)

LIN 600TUT - Masters Proj /Thesis Guid Credits: 1 - 3
or
LIN 620 - Graduate Research

Total Credit Hours: 36

3.0 Degree GPA required

Instruction Method

In Person (100 percent of courses offered in person)

Full/Part Time Options

Full Time
Part Time

Credits Required

36 Hours

Time-To-Degree

2 Years

Application Fee

$75

Program Contact

Maggie Balles
405 Park Hall
Buffalo, NY 14260
Email: mlballes@buffalo.edu
Phone: 716-645-2586

SED Statement

This program is officially registered with the New York State Education Department (SED).

Online programs/courses may require students to come to campus on occasion. Time-to-degree and number of credit hours may vary based on full/part time status, degree, track and/or certification option chosen. Time-to-degree is based on calendar year(s). Contact the department for details.