Computational Linguistics, MS

The concentration in computational linguistics is a 30-credit-hour program. The degree plan in the concentration is a mix of required courses and electives, with the Department of Linguistics as the primary academic area.

A total of 18 credit hours from linguistics will be earned from courses in theoretical linguistics, research methods, experimental design and computational linguistics. The CL courses are designed to coordinate with courses in computer science (total of 6 credit hours). The third area of study (total of 6 credit hours) is to be selected by the student in coordination with the concentration advisors, and at the end of the program, students will complete a capstone course in linguistics which will include both a substantial research component and professional development, to support students in career placement following completion of the degree plan.

Linguistics Core (18 hours)

The linguistics core consists of 5 courses (15 credit hours) leading to a capstone experience (3 credit hours) taken in the student’s last semester. 

All students must have completed LING 5040 - Principles of Linguistics, or an equivalent, before enrolling in core linguistics courses. This course may be taken as a deficiency, but cannot be applied to the computational linguistics degree plan.

LING 5070 - Research Design for Linguists
LING 5410 - Computational Linguistics I
LING 5415 - Computational Linguistics II
LING 5990 - Professional Development for Linguists (capstone)

Computer Science Core (6 hours)

Students will select two of the following courses in consultation with faculty advisors:
CSCE 5200 - Information Retrieval and Web Search
CSCE 5210 - Artificial Intelligence
CSCE 5215 - Machine Learning
CSCE 5216 - Pattern Recognition
CSCE 5290 - Natural Language Processing
CSCE 5300 - Introduction to Big Data and Data Science
CSCE 5380 - Data Mining
CSCE 6290 - Advanced Topics in Human/Machine Intelligence

Specialization Electives (6 hours)

Students will select a two-course sequence to focus on an intended career path such as: 

INFO 5841 - Digital Curation Fundamentals
INFO 5842 - Digital Curation Tools and Applications
LTEC 5210 - Instructional Systems Design I
LTEC 5310 - Human-Computer Interaction
INFO 5731 - Computational Methods for Information Systems
INFO 5737 - Information and Cyber-Security