The University of Arizona

How this program compares

At an estimated $9.5K in total tuition, the Graduate Certificate in Natural Language Processing sits roughly 14% below the $11.0K average for AI certificate programs in our database — placing it in the 53rd percentile on cost among the 180 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree with a strong foundation in computer science, linguistics, or related quantitative fields. A minimum GPA of 3.0 and relevant coursework in programming and mathematics are typically required.

About This Program

A 9-unit graduate certificate focused on teaching computers to process and extract meaningful knowledge from human language. Coursework concentrates on Natural Language Processing (NLP) and Computational Linguistics / NLP. Most students complete it in about 1 year.

Budget planners should note $9.5K estimated total tuition (53rd percentile among AI certificate programs, below the $11.0K average). That puts it in the mid-range on price among comparable programs.

It is one of 15 AI-related programs we track in Arizona, of which about 67% offer an online option. On price, it comes in cheaper than about 87% of the Arizona programs in our data, where typical tuition runs near $53.3K.

Graduates frequently move into roles such as NLP Engineer, with reported salaries around $110,000.

Design and implement computational models for natural language understanding and generation.

Career Outcomes

The University of Arizona positions this certificate track for NLP Engineer careers — typical offers cluster around $110,000. Its focus on Natural Language Processing (NLP) and Computational Linguistics / NLP 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. Machine Learning Engineer (Language Models)
• 3. Computational Linguist
• 4. Data Scientist (Text Analytics)

What You'll Learn

• Design and implement computational models for natural language understanding and generation
• Apply machine learning and deep learning techniques to linguistic data and text classification tasks
• Analyze language structure using corpus linguistics methods and formal semantic frameworks
• Develop practical NLP solutions for real-world applications such as information retrieval and machine translation

Curriculum Highlights

The program features core courses in statistical natural language processing and advanced computational linguistics with various technical electives.

Top Employers

Top employers include major technology companies such as Google, Microsoft, Amazon, and Meta, as well as research institutions and specialized AI firms developing language models and conversational AI systems.

Admissions

Admission to The University of Arizona's Graduate Certificate in Natural Language Processing generally expects a graduate certificate. 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