Advanced Analytical Techniques for Linguistic Data, Undergraduate Certificate
The Certificate in Advanced Analytic Techniques for Linguistic Data is designed to develop student competencies in language and its computational applications. Anchored by coursework in AI literacy and foundational linguistics, the program equips students with tools for analyzing language structure, meaning, and use in both human and machine contexts. Students will gain technical skills by completing a course in programming or software engineering, and develop critical skills for evaluating the successes and failures of language technologies.
Eligibility
The certificate is open to:
- UWM undergraduate students.
- Community members, who can apply for the certificate as a UWM Special Student at the undergraduate level.
Requirements
To obtain the certificate, students must complete at least 12 credits in courses approved for the Advanced Analytical Techniques for Linguistic Data Certificate, with at least 9 credits taken in residence at UWM. Students must earn a cumulative 2.5 GPA in all certificate courses, including transfer work. Courses for the certificate may not be taken on a credit/no credit basis. The certificate requirements are as follows:
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| LINGUIS 105 | Linguistic Approaches to AI Literacy | 3 |
| LINGUIS 350 | Introduction to Linguistics | 3 |
| Choose one of the following: | 3 | |
| Introductory Programming Using Python | ||
| Introduction to Software Engineering | ||
| Choose one of the following: | 3 | |
| Language Behavior of AI Models | ||
| Introduction to Natural Language Processing | ||
| Total Credits | 12 | |