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Master of Science in Natural Language Processing

加州大学圣克鲁斯分校

University of California Santa Cruz

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

    Department of Computer Science and Engineering

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

A B.A. or B.S in Computer Science or equivalent
A class in Discrete Math (the equivalent of UCSC's CSE 16: Applied Discrete Mathematics)
An advanced class in Data Structures and Algorithms (the equivalent of UCSC's CSE 101: Introduction to Data Structures and Algorithms)
At least one class in Probability and Statistics with a grade of B or better (the equivalent of UCSC's CSE 107: Probability and Statistics for Engineers or STAT 131: Introduction to Probability Theory)
An overall GPA of 3.2 or better (on the 4.0 GPA scale) or the equivalent
Excellent programming skills either through academic coursework and/or significant professional experience
TOEFL or IELTS score (if applicable)
Minimum TOEFL score of 100
Minimum IELTS score of 7.0
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  • 雅思总分:7
  • 托福网考总分:100
  • 托福笔试总分:160
  • 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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开学时间&学费

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    世界排名167

    数据源:泰晤士高等教育世界大学排名

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