Master of Science in Data Science
  • 学历文凭

    Masters Degree

  • 专业院系

    情报学

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Online application
Transcripts (in English) from all colleges or universities attended. Transcripts must be submitted in sealed envelopes and mailed directly to the admissions office. If official documents are unavailable, unofficial documents can be uploaded through the online application system for initial review only. However, all official documents must be received before the start of classes for the admitted semester.
Two Letters of Recommendation
A Statement of Purpose
A resume or curriculum vitae

TOEFL - 75
IELTS - 6.0
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雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:75
  • 托福笔试总分:160
  • 其他语言考试:PTE - 50
CRICOS代码:
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课程简介

Data Science is an emerging field that combines methods from machine learning, artificial intelligence, and statistics with entirely new technologies for handling vast amounts of complex and quickly-changing data. The job of a data scientist is to apply these methods to gather information and achieve goals that are otherwise impossible for human experts due the large quantities and complexity of the data.<br><br>In the University of New Haven's M.S. in data science program, you will develop proficiencies in the key skills expected of leading data scientists, including deep learning and statistical analysis, and the data skills needed to work with unstructured data and Natural Language Processing (NLP).<br>The Master of Science in Data Science (MSDS) program is designed to prepare students for opportunities and challenges in the field of data science. The program offers a strong foundation in data analysis, machine learning, artificial intelligence, and statistical modeling. Specialized focus areas include big data, deep learning, computer vision, and natural language processing with opportunities to gain subject matter expertise in a wide range of cross-disciplinary fields such as security, business analytics, and health care analytics. To earn the MSDS degree, a student must complete a minimum of 33 credits. One of these courses (3 credits) is considered a prerequisite preparatory course, which may be waived by the program coordinator during the initial admission application review. Students will be informed if the course is waived or required at the time of admission.
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