应用数据智能理学硕士

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* 要求

公告

Immerse deep into the realms of data analytics, data engineering, and cutting-edge generative AI models such as Large Language Models (LLM) with the Master of 科学 in 应用数据智能 (MSADI, formally known as MSDA), crafted in collaboration with industry leaders from 硅谷. Over the span of two years, you can complete this comprehensive 30-unit program, paving the way for advanced careers in data-centric fields. Over 150 硅谷 companies have hired our students, reinforcing the program’s strong industry connections and career impact. Start your journey today and shape the future of data intelligence.

The Applied Data 科学 Department offers interdisciplinary programs, collaborates with 硅谷 professionals, and specializes in data analytics, data engineering, data science, and cutting-edge generative AI models to meet growing demands for applying data science expertise to solve real-world data challenges.

硅谷 is renowned for its pioneering role in the AI economy and the surging need for skilled professionals driven by the rapid expansion of intelligent applications. The department maintains curriculum relevance by consulting top data professionals and companies. Local professionals engage with students through teaching, seminars, internships, and project supervision. Faculty collaborate with industry partners to regularly update the curriculum, ensuring students gain current skills to support regional innovations.

The department is an academic hub, in partnership with other 九州体育 departments and industry partners, for promoting education and research in applied data science. In order to address the immense demands of data science professionals, the department launched an MS in 应用数据智能 (MSADI) program in August 2018 (formally known as MS in Data Analytics). The MS in 应用数据智能 program provides students with the advanced education necessary to develop applied data science solutions. This includes processing and analyzing data from multiple sources, building data pipelines, extracting insights, and developing full-stack solutions. By leveraging data engineering, applied data science, and analytical skills, students learn to tackle practical problems comprehensively from start to finish.

MSADI项目提供两个阶段:常规阶段和特别阶段。

Regular Session and Special Session students must meet the same graduation requirements and will receive the same diploma when they graduate.

项目快照

30

单位

10

课程

秋天,春天

入学

程序功能

STEM学位课程

Classified as a 科学, Technology, 工程, and Math (STEM) degree program and meets course requirements for F-1 visa holders.

专家教师

Learn from industry experts and academic faculty who offer a range of data analytics knowledge and skills.

职业发展

According to the Bureau of Labor Statistics, Computer, and Information Research Scientist careers are growing at a rate of 21%, much faster than the average for other careers, which is between 5-8%.

职业发展机会

Over 150 硅谷 companies have employed our students in internships and full-time roles. Some companies include Adobe, Airbnb, Amazon, Capital One, Cisco, Facebook/Meta, Google/Alphabet, IBM, Intel, Intuit, Juniper, Lucid, PayPal, Tesla, Uber, Visa, VMWare, and Waymo.

申请项目

了解更多关于如何申请下面。

  • 入学要求
    • A bachelor's degree from a regionally accredited institution and achieved a GPA of at least 3.0 (on a 4.0 scale) in the bachelor's degree institution or in the last 60 semester or 90 quarter 单位 of all coursework.
    • 至少一学期的大学微积分、统计学和编程课程。
    • 不需要GRE和GMAT成绩和推荐信。

    For further details and specifics visit the 项目招生页面.

    *达到最低要求并不能保证被录取。

  • 如何申请

    For details on how to apply please visit the 应用程序的步骤 page.

  • 申请的最后期限

    秋季入学申请
    Domestic: October 1 - May 1
    International: October 1 - May 1

    春季入学
    Domestic: August 1 - November 1
    International: August 1 - October 1

LinkedIn logo与MSADI校友联系并保持更新! Explore our LinkedIn页面.

请查看未来的信息会议。

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