多学科研究理学硕士-数据科学与分析专业
Master of Science in Multidisciplinary Studies - Data Science and Analytics

学历文凭
Masters Degree

专业院系
数据库管理

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课程简介
多学科研究计划是为具有独特专业和教育目标的个人设计的,而这些目标是传统硕士学位课程无法轻易实现的。通过提供建议并在一定的指导范围内,学生可以通过选择学院学术部门或其他认可机构的研究生课程来设计自己的课程。有两种途径可供选择:个性化管理和公共关系管理。<br>获得批准的学生圆满完成课程后,将根据课程的范围和内容授予文学硕士或理学硕士学位。
The Multidisciplinary Studies Data Science and Analytics Track is designed for individuals with quantitative talent, scientific background, and an entrepreneurial mindset wanting to join the data revolution that is changing all aspects of modern life. Data science and analytics (DSA) is a fast-growing discipline leading to excellent job opportunities in a variety of fields, including business, industry, health, government, and education. Through advisement and within certain guidelines, students who enroll in the DSA track will be guided to create their best degree curriculum based on their own career aspirations. The curriculum includes courses covering big data, statistics, machine learning, database management, data visualization, programming, and business intelligence. All students will have applied- and experiential-learning opportunities, be involved in research, and be required to complete an internship.
The Multidisciplinary Studies Data Science and Analytics Track is designed for individuals with quantitative talent, scientific background, and an entrepreneurial mindset wanting to join the data revolution that is changing all aspects of modern life. Data science and analytics (DSA) is a fast-growing discipline leading to excellent job opportunities in a variety of fields, including business, industry, health, government, and education. Through advisement and within certain guidelines, students who enroll in the DSA track will be guided to create their best degree curriculum based on their own career aspirations. The curriculum includes courses covering big data, statistics, machine learning, database management, data visualization, programming, and business intelligence. All students will have applied- and experiential-learning opportunities, be involved in research, and be required to complete an internship.
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