国际学生入学条件
Applicants who have conducted their post-secondary education outside of the United States must have completed an undergraduate degree program equivalent to a University of California bachelor's degree by the beginning of their graduate program at UCSB. Equivalent undergraduate degrees usually include a minimum four years of university work and above-average scholarship. The degree must be awarded by an accredited institution. Satisfaction of minimal standards does not, however, guarantee admission, since the number of qualified applicants far exceeds the number of spaces available. An excellent command of written and spoken English is required prior to enrollment at UCSB. Applicants whose native language is not English are required to take the Test of English as a Foreign Language (TOEFL), the International English Language Testing System (IELTS), or the Duolingo English Test (DET). TOEFL paper-based test (PBT) 550, TOEFL internet-based test (iBT) and TOEFL iBT Home Edition 80, IELTS Academic and IELTS Indicator - Overall Band Score of 7.
展开 IDP—雅思考试联合主办方
雅思考试总分
7.0
了解更多
- 雅思总分:7
- 托福网考总分:80
- 托福笔试总分:550
- 其他语言考试:Duolingo English Test (DET) - 120
课程简介
The Master of Environmental Data Science (MEDS) degree at Bren is an 11-month professional degree program focused on using data science to advance solutions to environmental problems. <br>Data science is a rapidly expanding discipline with a growing market in need of highly skilled, interdisciplinary professionals. As a student, you will be immersed in a collaborative, open-source, data-driven environment in which students are supported by expert faculty and researchers from the Bren School, the National Center of Ecological Analysis & Synthesis (NCEAS), and other UCSB departments. Supplementing your background in environmental science, you will gain leading-edge data science skills, receive in-depth training in applications such as R, Python, and SQL, and learn how to apply data visualization to share compelling scientific narratives. In the MEDS program, you will learn robust and reproducible workflows, develop interfaces and documentation, and complete a capstone group project that provides real-world experience in applying data science to environmental issues.
展开