Doctor of Philosophy in Biomedical Sciences - Computational Biology and Data Science

学历文凭
Ph.D.

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
Successful applicants must hold a bachelor's degree or the equivalent from an accredited institution in the United States or from a recognized university-level academic institution abroad and at least a B average (3.0 GPA) or its equivalent by the time they enroll. Some exceptional applicants with lower GPAs may be recommended for admission.The minimum TOEFL score for admission is 85 for the Internet Based Test and 64 for the Paper Based Test. The university-wide minimum IELTS Academic Training exam score required for consideration for graduate admission is Band Score 7.
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:85
- 托福笔试总分:550
- 其他语言考试:The minimum PTE Academic score required for graduate admission is Overall Score: 65.
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
The Computational Biology and Data Science Research Area is a unique joint effort between several departments at UC San Diego: the Departments of Cellular & Molecular Medicine, Pediatrics, Medicine, Psychiatry and Pathology in the School of Medicine, and Computational Science and Engineering and Bioengineering on the UC San Diego main campus.<br><br>The overall goal of this research area is to provide students with a deep understanding of the development and application of computational, integrative modeling and engineering approaches to solving basic and translational problems in biology and medicine.<br><br>Computational Biology and Data Science faculty associated with this area research a broad range of topics, from large-scale studies of genetics, genomics, microbiome and epigenomics using cutting-edge biochemical and molecular technologies, coupled with advanced computational methods such as machine learning and network analyses. Faculty focus on these areas of biological inquiry: gene regulation, stem cell biology, cancer, malaria and genetic diseases. Engineering and material sciences approaches also tackle emerging opportunities in single cell genomics and biology.
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校园授课-线上开始

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学校排名
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30
数据源:泰晤士高等教育世界大学排名
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