CertificateOnlinePart-Time

The University of Arizona

Online Graduate Certificate in Natural Language Processing

Tucson, Arizona0.5 $3K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $3.2K in total tuition, the Online Graduate Certificate in Natural Language Processing sits roughly 72% below the $11.4K average for AI certificate programs in our database β€” placing it in the 8th 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.

Est. Salary$120,000 Data Scientist
Job Growth+21%
Top RoleNLP Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
0.5 years
Est. Tuition
$3K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Natural Language Processing (NLP), Computational Linguistics / NLP

Typical admitted student: Applicants typically need a bachelor's degree with a strong background in computer science, mathematics, or a related field. Some programs require demonstrated programming experience and undergraduate coursework in linear algebra or statistics.

About This Program

This fully online graduate certificate provides specialized training in computational techniques for processing human language. Coursework concentrates on Natural Language Processing (NLP) and Computational Linguistics / NLP. Most students complete it in about 0.5 years.

Estimated total tuition is $3.2K, below the $11.4K average for AI certificate programs in our database and in the 8th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Develop 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 $118,000.

Career Outcomes

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

  • 1. NLP Engineer
  • 2. Machine Learning Engineer
  • 3. Data Scientist
  • 4. AI Research Scientist

What You'll Learn

  • Design and implement NLP systems for real-world applications including chatbots, machine translation, and language understanding
  • Apply machine learning and deep learning techniques to solve computational linguistics problems
  • Develop algorithms for text preprocessing, feature extraction, and semantic analysis
  • Evaluate and optimize NLP models for accuracy, efficiency, and ethical deployment

Curriculum Highlights

The coursework includes statistical natural language processing, advanced pattern classification, and options for speech technology or neural networks.

Top Employers

Top employers in NLP include major technology companies such as Google, Meta, Microsoft, Amazon, OpenAI, and leading AI research institutions and consulting firms.

Admissions

Applicants typically need a bachelor's degree with a strong background in computer science, mathematics, or a related field. Some programs require demonstrated programming experience and undergraduate coursework in linear algebra or statistics.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Required
  • Transcripts: Official transcripts required
  • Portfolio or Code Samples: May be requested to demonstrate technical competency

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Optional (some programs may waive for strong technical backgrounds)
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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