国际学生入学条件
Admission Requirements for the Doctor of Philosophy (Ph.D.) in Water Science and Management include all general requirements for a graduate degree as set forth in the NMSU Catalog, plus the following:
Possession of a master’s degree from an accredited university with a grade point average of 3.5 or higher on a 4.0 scale.
However, students with grade point averages between 3.0 and 3.5 will be given consideration. This degree being preparatory to
the Water Science and Management doctorate.
Three letters of recommendation submitted directly from persons who know the applicant professionally, including a recommendation from the candidate’s current employer/sponsor. These letters should provide evidence of professional ability, research experience, and the potential for professional development.
In addition, applicants to the Ph.D. program should provide evidence of capacity for research. This could include a master’s thesis,
a professional paper, peer reviewed manuscripts, consulting reports, or other evidence of capacity to conduct research.
A letter of intent or statement of purpose that addresses individual professional and personal goals related to water science and management and discusses how these goals fit within the degree programs at NMSU. It is expected that the candidate will have made contact with prospective advisor(s) at NMSU and speak to how he or she would work with said advisor(s) to advance their research and study.
A brief resume or curriculum vitae not to exceed five pages that summarize the candidate’s background and qualifications.
IELTS - overall 6.5
TOEFL IBT - 79
TOEFL PBT - 550
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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雅思考试指南
- 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 - overall score 105
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Water Informatics is an interdisciplinary science primarily concerned with the collection, classification, manipulation, storage, retrieval and especially the dissemination of water information, including both human and machine readable documents. Examples of human readable documents include maps, field data sheets, operational schedules, and long term asset management plans with narrative text. Machine readable documents include files for geographic information systems (GIS), Global Positioning Systems (GPS), relational database management systems, and emerging applications.
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