Florida State University
MS in Interdisciplinary Data Science – Comput. Linguistics Track
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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, linguistics, mathematics, statistics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience and coursework in data structures or statistics are often preferred.
About This Program
This interdisciplinary master’s program combines data science methodologies with linguistics, preparing students for careers in language technology and advanced data analysis in a rapidly evolving field.
Career Outcomes
Thrive as NLP Engineer in Cross-Industry AI with machine learning expertise
- 1. NLP Engineer
- 2. Computational Linguist
- 3. Data Scientist (Language AI)
- 4. AI Research Scientist
What You'll Learn
- Develop algorithms for parsing and generating natural language
- Apply machine learning models to linguistic datasets
- Analyze language syntax, semantics, and pragmatics computationally
- Build and evaluate NLP systems for real-world applications
Curriculum Highlights
The 30-credit curriculum includes core coursework in machine learning, data ethics, and statistics, with specialized electives in corpus linguistics, text analysis, and deep learning for language.
Top Employers
Top employers include tech companies like Google, Amazon, Meta, and Microsoft, as well as research institutions and AI startups focused on language technologies.
Admissions
A bachelor's degree in computer science, linguistics, mathematics, statistics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience and coursework in data structures or statistics are often preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- 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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