国际学生入学条件
International applicants to Case Western Reserve follow the same deadlines and process as domestic students. CWRU also requires English translations, if applicable, for academic records and recommendations. After submitting their Common App or Coalition Application, students whose first language is not English must submit an English language exam score to Case Western Reserve via the testing agency, or students can submit self-reported scores by completing the form on their applicant portal. Enrolling students will confirm their testing with official score reports. IELTS 7.0, TOEFL iBT, including Home Edition and Paper Edition tests 90.
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:90
- 托福笔试总分:160
- 其他语言考试:PTE Academic - 61 minimum
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
案例凯斯西储大学和商业高等教育论坛合作评估了数据科学和分析中可用的学术选择,并了解到在本科层次上对数据科学教育的独特需求,以帮助培训数据科学专家的队伍能够在各个领域进行数据操作和分析。了解有效收集和管理大型数据集的过程;开发成功的策略来制定和测试有关数据的假设;从大型数据集中提取有效且有意义的结论,这些结论是可行的数据产品,具有用于分析大数据集的基本算法方法展示深厚的能力,在开源数据管理和分析工具方面积累的经验,课程将进一步包含开源数据管理和分析工具,在诸如以下技术领域的广泛指导生物学,物理学或工程学,并
The Data Science and Analytics BS program provides students with a broad foundation in the field and with the instruction, skills, and experience needed to understand and handle large amounts of data to derive actionable information. The degree program has a unique focus on real-world data and real-world applications. This program provides students with a strong background in the fundamentals of mathematics and science. Students can use their technical and open electives to pursue interests in software engineering, algorithms, artificial intelligence, machine learning, databases, data mining, bioinformatics, security, and computer systems. In addition to an excellent technical education, all students in the Case School of Engineering are exposed to societal issues, ethics, professionalism, and have the opportunity to develop leadership skills.<br><br>This major is one of the first undergraduate programs nationwide with a curriculum that includes mathematical modeling, computation, data analytics, visual analytics and project-based applications all elements of the future emerging field of data science.
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