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
Minimum cumulative GPA of 3.0 (on a 4.0 scale or its equivalent)
TOEFL with a minimum score of 550 (paper based test-PBT) or 85 (internet based test-iBT).
IELTS with a minimum Band Score of 7
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:85
- 托福笔试总分:550
- 其他语言考试:Pearson Test of English (PTE) Academic with a minimum overall score of 65
课程简介
Data has become central to our daily lives and there is growing demand for professionals with data analysis skills. Computing and data play an ever-growing role in all areas of human knowledge. Applications of Machine Learning and Data Science are now pervasive in a wide variety of businesses looking to use data effectively, as well as in government agencies, academia and health care. These applications have led to an increased need to fundamentally understand the underlying mechanisms of statistical learning on these datasets, develop new and more powerful software and hardware tools for maximizing information extraction, and new strategies for application of these processes across a wide variety of application domains.<br><br>Our faculty are developing across the spectrum of deep theoretical and algorithmic foundations for data analytics and machine learning, and catered applications of these techniques to solve important human, institutional, and societal challenges.
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