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Master of Electrical Engineering in Robotics and Artificial Intelligence

美国天主教大学

Catholic University of America

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

    Department of Electrical Engineering and Computer Science

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

Students seeking admission to a graduate program in the School of Engineering must have received a bachelors degree in engineering, science, mathematics, or a related field from an accredited institution and must satisfy all general university requirements.

Official transcripts of all undergraduate coursework and post secondary studies
Three (3) official letters of recommendation

Admission for those seeking a master's degree or graduate certificate is typically based on undergraduate record and may also consider relevant work experience and motivation towards study in the program in question as demonstrated by the applicant's personal statement. Undergraduate GPA of 3.0 or higher is typically required, and students must maintain a 3.0 GPA during graduate study to remain in good standing. Students may choose either a Master's Thesis Option or Non-Thesis Option

Minimally accepted TOEFL scores, when applying for graduate pro-grams, are 550-paper, 213-computer, and 80 Internet. Students taking the TOEFL should have at least 20 out of 30 in each of the TOEFL sub-categories. The minimally accepted graduate IELTS score is 6.5. Indi-vidual IELTS test module scores are also reviewed in addition to the overall IELTS score.
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  • 雅思总分:6.5
  • 托福网考总分:80
  • 托福笔试总分:550
  • 其他语言考试:NA

CRICOS代码:
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课程简介

The department offers a Master of Science (M.S.) degree in electrical engineering with two options. The non-thesis option requires a minimum of 30 semester credit hours (SCH) of approved course work. The thesis option requires a minimum of 24 SCH of approved course work plus a thesis comprising six SCH of research guidance. The approved course work must include at least 18 SCH of approved electrical engineering courses. The remaining courses must be in engineering and science disciplines and approved by the graduate coordinator of the Department. Enhance automation in motion planning and provide assistance in human-machine cooperative tasks in complex domains such as robotic-assisted surgery, robot manipulation, mobile robotics, and air-traffic control.
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