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 17% below the $11.4K average for AI certificate programs in our database — placing it in the 50th percentile on cost among the 236 we track at this level. It is one of the 57% 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.

Estimated total tuition is $9.5K, below the $11.4K average for AI certificate programs in our database and in the 50th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Gain natural language processing skills to advance as NLP Engineer in Cross-Industry AI Graduates frequently move into roles such as NLP Engineer, with reported salaries around $110,000.

Career Outcomes

Gain natural language processing skills to advance as NLP Engineer in Cross-Industry AI

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Graduate Certificate
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)