地理信息学理学硕士
Master of Science in Geoinformatics

德克萨斯大学圣安东尼奥分校

US

QS排名:

  • 学历文凭

    Masters Degree

  • 专业院系

    GIS技术

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Required Degree - Bachelor's Degree from an accredited college or university in the United States or have proof of equivalent training at a foreign institution.
Minimum GPA - 3.0 (on a 4.0 scale) Departments may consider GPA of last 60 semester credit hours
Coursework - 18 credit hours in an area related to this graduate degree and at least 12 hours must be at the upper-division level.
Transcripts - Required from all institutions attended, international transcripts must be recorded/translated to English
Credential Evaluation - Required if you have earned university-level credit from foreign institutions. Submit an evaluation of your transcripts from Educational Credential Evaluators (ECE) directly from the graduate admission application platform
English Language Proficiency - 550 TOEFL Paper / 79 TOEFL Internet / 6.5 IELTS
Purpose Statement - Required
Letters of Recommendation - 2 academic or professional reference(s) demonstrating your attributes for successful completion of this program (you will request these through the Graduate Admissions Application, let your recommenders know of your deadline to ensure submissions are on time)
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雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:79
  • 托福笔试总分:550
  • 其他语言考试:Duolingo - 100
CRICOS代码:
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课程简介

地理信息学理学硕士(MS)学位课程为高级学习和研究提供了机会,旨在使学生为在行业,政府,研究和/或学术机构中的领导作用做好准备。该计划的教育目标是培养能够应用地理空间科学和技术解决行业或学术界问题并在所选就业领域中发挥领导作用的毕业生。这是由地质科学系管理的多学科计划。它包括理学院,人文与美术学院,工程学院,公共政策学院,建筑,建筑与规划学院的教职员工和资源,以及其他学术部门的教职员工。地理信息学理学硕士学位要求至少成功完成32个学期的学分
The Master's in Geoinformatics prepares graduates who are capable of applying geospatial science and technology to solve problems in industry or academia, as well as assuming leadership roles in their chosen employment field. The cross-disciplinary nature of this program utilizes spatial data (geographic and/or remote sensing data) to solve real-life problems related to locations and changes in space and time, with wide applications in oil and gas industry, water resources and management, land use and land cover, climate change and cryosphere, archaeology, political science, urban planning and transportation, demography, public health, disaster response and relief effort, geospatial intelligence, and cyber-security.<br>Big data and cloud computing are the two new aspects of the program's collaborative research and applications, since geospatial and remote sensing data are big in nature and need advanced technology and methods for data mining, processing, storing, sharing, and distribution.
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  • 在校学习

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学校排名

世界排名

501

数据源:泰晤士高等教育世界大学排名

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