Florida State University
MS in Interdisciplinary DS - Computational Linguistics
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Admission Snapshot
Typical admitted student: A bachelor's degree in a related field such as computer science, linguistics, data science, or mathematics is required, along with a minimum GPA of 3.0 and relevant quantitative coursework.
About This Program
This graduate program provides the technical and analytical training needed to bridge the gap between human language and data science, focusing on innovative linguistic technology solutions.
Career Outcomes
Position as NLP Engineer in Cross-Industry AI with data science expertise
- 1. NLP Engineer
- 2. Computational Linguist
- 3. Data Scientist (Language Technologies)
- 4. AI Research Scientist
What You'll Learn
- Develop algorithms for natural language understanding and generation.
- Apply machine learning models to linguistic datasets.
- Analyze large-scale text corpora for patterns and insights.
- Build computational tools for language processing tasks.
Curriculum Highlights
Students complete a core of data science and statistics courses, paired with a computational linguistics major that features electives in psycholinguistics, sentence processing, and advanced language technology.
Top Employers
Top employers include tech companies like Google, Amazon, Meta, and Microsoft, as well as research institutions and AI startups.
Admissions
A bachelor's degree in a related field such as computer science, linguistics, data science, or mathematics is required, along with a minimum GPA of 3.0 and relevant quantitative coursework.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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