专业科学硕士’s in 地理空间数据科学
扩展您在地理空间分析方面的专业知识 专业科学硕士’s (PSM)地理空间数据科学 在威尼斯赌场网站文学院任教. 这是美国首个此类项目之一.S., this 30-credit master’s program is specifically designed to train data scientists and geographic information systems (GIS) professionals with geo空间分析, 编程和高级分析技能.
Data science is a growing field with roots in computer science, mathematics and statistics. It can be applied across disciplines and industries for which spatially referenced data informs prediction and decision-making, 包括气候适应, 城市与环境规划, 零售及营业地点, 以及空间流行病学. This degree emphasizes advanced statistics and computer programming to meet the increasing demand for professionals with expertise in these areas.
Geography and Urban Studies Department faculty have extensive experience in
- 制图,
- 地理信息系统,
- 机器学习,
- 遥感,
- 空间分析,
- 空间数据科学;
- 空间统计及
- 城市分析.
Students learn the fundamentals of geospatial data science as well as the latest trends in the field. The program’s faculty imparts an in-depth understanding of ethics, preparing students to put them into practice in their careers.
Coursework addresses the geospatial aspects of core data science competencies in big data analytics, 机器学习与仿真. 您将使用诸如SQL之类的行业标准工具, R, Python和其他新兴技术, 重点放在开源工具上, 社会编码和可重复性研究.
Many of the program’s courses focus on programming and include peer review, code walkthroughs and live demonstrations of coding projects. You’ll learn to write documentation and leverage social coding platforms such as GitHub to share and publicize your work.
Choosing the 地理空间数据科学 专业科学硕士’s
The 地理空间数据科学PSM distinguishes itself from the 地理信息系统 通过特别强调大数据处理, 数据挖掘, 地理空间分析, 机器学习和地理模拟. Compared to the 地理信息系统 program, the 地理空间数据科学 program focuses on advanced statistical knowledge and computer programming. 研究生s are trained to work outside the realm of traditional GIS jobs, 包括在公司环境中.
The 地理空间数据科学PSM program also produces different outcomes from the College of Science and Technology’s 计算数据科学硕士 以及福克斯商学院 统计与数据科学硕士 by providing a distinctive focus on geospatial data and spatial analytics and through its curriculum designed for current professionals.