Graduate Certificate in Computational Data Science

学历文凭
Graduate Certificate

专业院系
数据库管理

开学时间

课程时长

课程学费

国际学生入学条件
Earned a bachelor's degree from a regionally accredited institution or a recognized institution in another country whose requirements for the bachelor's degree are substantially equivalent to a U.S. bachelor's degree. The basis on which credits are awarded for the bachelor's degree must be consistent with the policies and procedures for the award of such credit at Wichita State, and
Achieved a grade point average of at least 2.750 from a U.S. institution, or its equivalent from a foreign institution, and no background deficiencies in the desired field of graduate study. Students with background deficiencies may be admitted on a conditional basis. In certain instances, the GPA may be based on the last 60 credit hours of coursework (or nearest semester or term break to this). Many departments require a higher minimum grade point average.
TOEFL 79 on the internet-based test, or 550 on the paper-based test.
IELTS minimum overall band score of 6.5 is required
Achieved a grade point average of at least 2.750 from a U.S. institution, or its equivalent from a foreign institution, and no background deficiencies in the desired field of graduate study. Students with background deficiencies may be admitted on a conditional basis. In certain instances, the GPA may be based on the last 60 credit hours of coursework (or nearest semester or term break to this). Many departments require a higher minimum grade point average.
TOEFL 79 on the internet-based test, or 550 on the paper-based test.
IELTS minimum overall band score of 6.5 is required
IDP—雅思考试联合主办方

雅思考试总分
6.5
了解更多
- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:550
- 其他语言考试:PTE Academic 58.
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
Wichita State's graduate certificate in computational data science is designed for students with backgrounds in computer science, computer engineering, electrical engineering or other related fields. You'll gain a strong understanding of fundamental data science principles and their application. And you'll acquire in-depth knowledge on data science tools, analytical workflows, machine learning algorithms and predictive modeling.<br>The 12-credit-hour certificate comprises courses in the areas of data science, machine learning, database systems, artificial intelligence, deep learning and data mining.
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