Overview
The M.Sc. in Natural Language Processing at Columbia University provides students with the advanced technical skills required to automate the analysis of speech and text databases. This academic pathway focuses on the central importance of language technologies in modern computing and enables sophisticated man-machine interactions. Students engage with a rigorous curriculum that combines fundamental theory with practical applications in machine intelligence.
Why Natural Language Processing at Columbia University?
The programme is hosted within a department that actively advances the role of computing in daily life through high-impact research. Students benefit from a vibrant academic environment that includes access to specialised Computing Research Facilities and regular department lectures from industry leaders. The curriculum is designed to push the frontiers of discovery, supported by a faculty known for significant achievements in artificial intelligence and machine learning.
Tuition Fee Breakdown
- International fee: USD 64800 per year
- National fee: USD 64800 per year
- Local fee: USD 64800 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum requires the completion of 30 points of coursework at the 4000 level or above, including specific breadth and technical requirements. Modules may include:
- Natural Language Processing
- Spoken Language Processing
- User Interface Design
- Computational Learning Theory
- Artificial Intelligence
- Machine Learning
- Neural Networks and Deep Learning
- Digital Signal Processing
- Models of Cognition
Careers with Natural Language Processing
Graduates are prepared for leading roles in industries that rely on automated text analysis, speech recognition, and natural language understanding. The programme develops expertise suitable for careers in machine intelligence, data science, and software engineering. Students gain the technical foundation necessary to work in research and development sectors focusing on the next generation of man-machine communication tools.
Programme Structure
Courses include:
- Artificial Intelligence
- Machine Learning or Machine Learning for Data Science
- Probability and Statistics
- Neural Networks and Deep Learning
- Deep Learning for Computer Vision and Natural Language Processing
- Digital Signal Processing
- Production and Perception of Language
- Contemporary Topics in Language and Communication
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
Credits
Delivered
Campus Location
- Manhattan, United States
Disciplines
Information Technology (IT) Machine Learning View 104 other Masters in Machine Learning in United StatesWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Other requirements
General requirements
- Transcript
- Personal Statement
- Recommendation Letter
- Financial Support Document
Tuition Fees
-
International Applies to you
Applies to youNon-residents64800 USD / year≈ 64800 USD / year - Out-of-State64800 USD / year≈ 64800 USD / year
-
Domestic
Applies to youIn-State64800 USD / year≈ 64800 USD / year
Additional Details
International Student Fee (International Students Only) - $320.00
Living costs
Manhattan
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Natural Language Processing.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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