Columbia University in the City of New York

How this program compares

Columbia University in the City of New York's MS in Computer Science - Natural Language Processing lists about $81K total tuition — about 89% above the $42.9K AI master's average (89th percentile in our data). It runs on a flexible schedule (on-campus).

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with strong programming skills in Python and familiarity with machine learning frameworks.

About This Program

This specialized track prepares students to develop technologies for the automated analysis of text and speech and human-machine interaction through natural language. Most students complete it in about 1 year.

Graduates frequently move into roles such as NLP Engineer, with reported salaries around $140,000.

Design and implement NLP models for tasks like sentiment analysis and machine translation.

Estimated total tuition is $81K, above the $42.9K average for AI master's programs in our database and in the 89th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 56 AI-related programs we track in New York, of which about 43% offer an online option. On price, it comes in higher than about 75% of the New York programs in our data, where typical tuition runs near $59.9K.

Career Outcomes

The MS in Computer Science - Natural Language Processing at Columbia University in the City of New York (New York, New York) is oriented toward NLP Engineer hiring, with alumni reporting pay near $140,000. Its focus on Natural Language Processing (NLP) and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. NLP Research Scientist
• 2. Machine Learning Engineer (NLP)
• 3. AI Product Developer
• 4. Data Scientist (Language AI)

What You'll Learn

• Design and implement NLP models for tasks like sentiment analysis and machine translation.
• Apply deep learning techniques including transformers and recurrent neural networks to language data.
• Evaluate and optimize probabilistic models for text generation and understanding.
• Build AI systems integrating NLP with computer vision or speech recognition.

Curriculum Highlights

The program includes core courses in natural language processing and speech, alongside electives in machine learning, deep learning, and user interface design.

Top Employers

Top employers include Google, Meta, Amazon, Microsoft, and AI research labs.

Admissions

Admission to Columbia University in the City of New York's MS in Computer Science - Natural Language Processing 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: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions