MS Interdisciplinary Studies (Computational Linguistics) at University of North Texas

Programme overview

The Computational Linguistics concentration combines linguistics and computer science to build skills in linguistic analysis and in automated natural language processing methods and programming for research in computational linguistics.

Faculty: College of Information | Department: Toulouse Graduate School (Interdisciplinary Studies) | Duration: 30 credit hours | Study mode: full-time | Location: Denton, TX, United States

What you will study

A 30-credit-hour plan: 18 hours of linguistics core (LING 5070 Research Design, LING 5305 Morphology, LING 5310 Syntax I, LING 5410 Foundations of Computational Linguistics, LING 5415 Special Topics, LING 5990 capstone), 6 hours of computer science (e.g. CSCE 5290 Natural Language Processing, CSCE 5215 Machine Learning) and 6 hours of specialization electives such as data curation or instructional systems design.

Official programme page

Application information

Entry requirements

Interdisciplinary Studies master's applicants submit a Graduate School application form, transcripts from all colleges attended, the non-refundable application fee, a current resume or CV, and two letters of recommendation. Applicants to a recognized concentration also consult the concentration director for any concentration-specific requirements. Computational Linguistics concentration applicants also submit a one-page statement of purpose in place of the theme statement and GRE verbal, quantitative and writing scores (successful applicants have presented verbal scores from the 50th to 99th percentile and analytical writing scores of 4.0 to 6.0). Non-native English speakers submit TOEFL scores (successful applicants have had iBT scores of 88-100). LING 5040 Principles of Linguistics or an equivalent is needed before core courses and cannot count toward the degree plan.

Requirements published at program group level.

Duration: 30 credit hours

Apply through the official page: https://admissions.unt.edu/

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