Master of Science in Natural Language Processing

加州大学圣克鲁斯分校

US

QS排名:

  • 学历文凭

    Masters Degree

  • 专业院系

    人工智能与机器人

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

A BA or BS in Computer Science or equivalent
An overall GPA of 3.0 or better on the 4.0 GPA scale or the equivalent
Excellent programming skills either through academic coursework andor significant professional experience
TOEFL or IELTS scores if applicable
Minimum TOEFL score of 89

Resume or CV can also provide a link to your own website
A Statement of Purpose is required
Please describe your plans for graduate study or research and for your future occupation or profession Include any information that may aid the selection committee in evaluating your preparation and qualifications for graduate study at the University of California Santa Cruz Recommended length is a concise 2-4 pages singlespaced
Minimum IELTS score of 7.0
Minimum IELTS score of 70
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IDP—雅思考试联合主办方

雅思考试总分

7.0

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  • 雅思总分:7
  • 托福网考总分:89
  • 托福笔试总分:570
  • 其他语言考试:NA
CRICOS代码:
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课程简介

Natural Language Processing (NLP) combines the academic disciplines of computer science, linguistics and artificial intelligence to develop computer programs with the ability to understand text and spoken words. This rapidly growing field provides key capabilities for many areas of artificial intelligence. Advances in NLP mean that computer programs can now be developed which understand, generate and learn from human speech. An equally important part of studying NLP lies in developing algorithms, methods and tools for the analysis of both text and speech.<br><br>Our flexible 15-18 month in-person program offers an intensive and effective way to immerse yourself in the theory and develop the practical skills needed for a career in this important field. This is a highly specialized program. All our courses are designed for and are exclusive to only NLP students and are tailored for the needs of the sector. The program emphasizes practical proficiency in applying the relevant skills through courses focusing on core algorithms in Natural Language Processing, machine learning, and data science and analytics.<br><br>This includes applications such as:<br><br>Conversational agents (software programs which interpret and respond to users in ordinary natural language)<br>Machine translation<br>Question answering<br>Information extraction<br>Sentiment analysis e.g. in social media<br>Text summarization
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167

数据源:泰晤士高等教育世界大学排名

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