Computational Linguistics MS

The Computational Linguistics MS is a highly specialized interdisciplinary program that integrates coursework in computer science, statistics, language studies, cognitive science, psycholinguistics, and artificial intelligence. Offered jointly by the Departments of Linguistics and Computer Science and Engineering, this program equips students with the skills and knowledge necessary to pursue careers in the rapidly evolving human language technologies industry.

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 - NLP 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 614SEM - Current Syntactic Theory Credits: 1 - 3

Computer Science Course

Select 1 from:

CSE 574LEC - Intro Machine Learning Credits: 3
CSE 596LEC - Intro Theory of Computatn 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 - Special Topics Credits: 3
COM 504LEC - Research Methods Credits: 3
COM 518LEC - Statistics I Credits: 3
CSE 505LEC - Fundamentals of Programming Languages Credits: 3
CSE 531LEC - Algorithms Anal & Dsgn 1 Credits: 3
CSE 555LEC - Intro Pattern Recognition Credits: 3
CSE 563LEC - Knowledge Representation Credits: 3
CSE 566LEC - Wireless Networks Security Credits: 3
CSE 573LEC - Comp Vision & Image Proc Credits: 3
CSE 574LEC - Intro Machine Learning Credits: 3
CSE 596LEC - Intro Theory of Computatn Credits: 3
CSE 601LEC - Data Mining and Bioinformatics Credits: 3
CSE 635LEC - NLP 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 620TUT - Graduate Research Credits: 1 - 12

Total Credit Hours: 36

3.0 Degree GPA required

Program Learning Outcomes (PLOs)

1) Comprehend advanced concepts of linguistics, as well as literature that assumes such concepts.

2) Communicate effectively in a variety of professional contexts.

3) Achieve awareness of linguistic diversity and variability.

4) Master the ability to construct arguments for choosing between alternative analyses of linguistic phenomena and to identify relevant data bearing on the analyses.

5) Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions, while understanding and minimizing any ethical and demographic bias in the natural language processing model.

6) Design, implement and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.

SED Statement

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