Florida State University

How this program compares

Florida State University's MS in Interdisciplinary Data Science – Comput. Linguistics Track lists about $14.4K total tuition — roughly 66% below the $42.9K AI master's average (11th percentile in our data). It runs on a full-time schedule (on-campus).

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. Coursework concentrates on Machine Learning and AI Ethics/Policy. Most students complete it in about 1.5 years.

Develop algorithms for parsing and generating natural language.

At roughly $14.4K total, Florida State University's MS in Interdisciplinary Data Science – Comput. Linguistics Track sits below the $42.9K average among AI master's programs we track — the 11th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 50 AI-related programs we track in Florida, of which about 42% offer an online option. On price, it comes in cheaper than about 58% of the Florida programs in our data, where typical tuition runs near $25.9K.

Graduates frequently move into roles such as NLP Engineer, with reported salaries around $120,000.

Career Outcomes

Graduates of Florida State University's MS in Interdisciplinary Data Science – Comput. Linguistics Track most often target NLP Engineer roles, where reported compensation runs around $120,000. Its focus on Machine Learning and AI Ethics/Policy maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Florida State University's MS in Interdisciplinary Data Science – Comput. Linguistics Track generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions