For details about this program, including program description, admission requirements, and contact information, click here.
Program Requirements
| Code | Title | Credits |
|---|---|---|
| Foundation Courses | ||
| Students with a background other than Linguistics or Computer Science will have to complete up to 11 credits of foundation courses. | 0-11 | |
| Language and Linguistics | ||
| Discrete Mathematics in Computing | ||
| Python Programming | ||
| Required Courses | ||
| APLN 504 | Syntax | 3 |
| APLN 505 | Semantics and Pragmatics | 3 |
| APLN 506 | Phonetics and Phonology | 3 |
| APLN 550 | Computational Linguistics | 3 |
| APLN 552 | Special Topics in Natural Language Processing | 3 |
| APLN 553 | Text Analysis Tools | 3 |
| CSIT 506 | Data Structures with Python | 4 |
| CSIT 598 | Machine Learning | 3 |
| Electives | ||
| Complete at least 2 courses from the following: | 6 | |
| Quantitative Linguistics | ||
| The Structure of American Sign Language | ||
| Corpus Linguistics | ||
| Linguistic Annotation | ||
| Language and Mobile Communication | ||
| Special Topics in Applied Linguistics | ||
| Statistics for Data Science | ||
| Exploratory Data Analysis and Visualization | ||
| Big Data Analytics | ||
| Database Systems | ||
| Data Mining | ||
| Computer Algorithms and Analysis | ||
| Data Mining for Business | ||
| Linear Algebra I | ||
| Culminating Experience | ||
| APLN 606 | Research Project in Natural Language Processing | 3 |
| or APLN 698 | Master's Thesis | |
| Total Credits | 34-45 | |