Overview
The M.Sc. in Natural Language Processing at the University of California, Santa Cruz is a distinctive programme that combines academic excellence with practical industry insights. This course is tailored for individuals with a background in computer science, aiming to equip them with essential skills for a successful career in the rapidly expanding field of natural language processing (NLP). Over a duration of 15 to 18 months, students engage with a curriculum that integrates cutting-edge research and practical applications.
Why Natural Language Processing at University of California, Santa Cruz?The University of California, Santa Cruz is renowned for its rigorous academic standards and innovative research in the field of NLP. The programme is uniquely designed to offer a blend of theoretical knowledge and practical experience, facilitated by a team of distinguished faculty members who are leaders in natural language processing, deep learning, linguistics, and data science. The close collaboration with an advisory board comprising senior scientists from Silicon Valley ensures that the curriculum remains relevant to current industry trends and demands.
Approximately 90% of graduates secure employment in NLP-related roles within six months of completing the programme, reflecting the strong industry connections and support provided throughout the course. The small class sizes foster a personalised learning environment, allowing for tailored guidance and mentorship to meet individual career aspirations.
The programme also benefits from state-of-the-art facilities located in the heart of Silicon Valley, providing students with access to a vibrant tech ecosystem. Regular guest lectures from industry experts and opportunities for networking enhance the learning experience, preparing students for successful careers in NLP and adjacent fields.
Tuition Fee BreakdownThe tuition fees for the M.Sc. in Natural Language Processing are as follows:
- International Fee: USD 29,934 per year
- National Fee: USD 29,934 per year
- Local Fee: USD 14,832 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is structured to cover a range of essential topics in natural language processing:
- Introduction to Natural Language Processing
- Machine Learning for NLP
- Deep Learning Techniques
- Data Science Applications
- Linguistic Foundations for NLP
- Capstone Project in NLP
Through this comprehensive syllabus, students gain a robust understanding of both the theoretical and practical aspects of NLP, preparing them for various roles in the industry.
Programme Structure
Courses include:
- Natural Language Processing
- Data Collection, Wrangling & Crowdsourcing
- Machine Learning for Natural Language Processing
- Advanced Machine Learning for Natural Language Processing
- Conversational Agents
- Machine Translation
- Linguistic Models of Syntax & Semantics for Computer Scientists
Key information
Duration
- Full-time
- 15 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Santa Cruz, United States
Disciplines
Machine Learning View 102 other Masters in Machine Learning in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Transcripts
- Résumé or CV (can also provide a link to your own website)
- A Statement of Purpose
- A Personal History Statement
- GPA (minimum 3.0)
- Letters of Recommendation (3)
- TOEFL or IELTS (International Applicants Only)
Application Fee
Tuition Fees
-
International Applies to you
Applies to youNon-residents15102 USD / year≈ 15102 USD / year - Out-of-State15102 USD / year≈ 15102 USD / year
-
Domestic
Applies to youIn-State15924 USD / year≈ 15924 USD / year
Living costs
Santa Cruz
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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