Master of Science in Natural Language Processing

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

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
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:
申请截止日期:请 与IDP联系 以获取详细信息。
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
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