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专业概况
Humankind is on the threshold of a new era—an age of artificial intelligence (AI) as revolutionary in its global impact as the Industrial Revolution. With the proliferation of machine learning and AI across all sectors of the global society, and fields such as financial services, healthcare, and robotics, GEOINT and cybersecurity are already changing as intelligent computers take on once-indispensably human tasks. There is an immediate need for individuals to be knowledgeable in how to manage, analyze, communicate, visualize, and lead in the area of AI by being data, technology, and human literate. The experiential AI curricula includes an introductory core, as well as an advanced core with an end-to-end AI education in the areas of finance, HR, business ventures, and healthcare/pharmaceuticals. The goal is to proactively and thoughtfully prepare students for the evolving technology and the challenges it presents. The curricula framework adopts a multidisciplinary approach to problem solving by combining computer science and analytical skills with functional government and industry expertise, creativity, and leadership with program offerings on-ground and online.
The degree program is distinguished from others by:
Focusing on the specific but widespread field of AI that exists within a variety of industries and applications
Northeastern faculty experts, who have extensive and proven experience in computer science, analytics, geospatial science, information technology, etc.
Courses that focus on providing critical skills in data management, data analysis, data visualization, problem solving, and advanced analytical tools, creating AI-driven decision making in fields like healthcare/pharmaceuticals, finance, HR, and business ventures
The learning outcome of our program focuses on providing students with both technical skills and design expertise:
Investigate and identify opportunities to address applications of AI and machine learning in the world to answer or solve an organizational question or problem
Articulate and defend the significance and implications of the intersection of technology and application in the context of AI and machine learning across multiple industries and organizations
Integrate the principles, tools, and methods of AI and machine learning to solve an organizational problem by making informed decisions related to the design and deployment of systems in human environments and workflows within the organization
Develop a formally proposed solution and/or application, real or hypothetical, to address an AI and machine learning related to privacy and ethical dilemmas that may be complicated by competing political, social, economic, or environmental interests
Apply data management and strategic analysis, problem solving, decision making, effective visualization/communication, and leadership skills to the application or deployment of machine learning and AI technologies and products in a real-world scenario
所属院系
中国学生入学要求
想申请,但不知道自己能否成功申请这个专业?
留学监理网自2010年以来,服务了大量的学生,积累了大量的真实案例。输入相应的自身情况如GPA、语言成绩、学历等,留学监理网帮你进行1对1精准评估并提供案例参考。课程信息
学制:全日制(12 个月)
学费:US$43,900.00 (¥ 279,287) /年
开学时间:2022七月12日, 2022九月20日, 2022一月10日
申请截止日期:19 July 2022, 8 November 2022
留学地点:Northeastern University360 Huntington Avenue,BOSTON,Massachusetts,02115, United States
学制:须出席的在线/远程学习(12 个月)
学费:US$40,600.00 (¥ 258,293) /年
开学时间:2022九月20日
申请截止日期:19-Jul-22
留学地点:Portland Campus100 Fore Street,PORTLAND,Maine,04101, United States
留学监理网自成立以来,已真实服务大量学生。留学监理老师从业都5年以上,我们有足够的经验告诉你一个学校录取你的几率。
留学监理网自成立以来,已真实服务大量学生。留学监理老师从业都5年以上,我们有足够的经验告诉你一个学校录取你的几率。
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