The Master of Science in Data Intelligence and GeoAnalytics is a technology-enriched 36-credit graduate degree. The degree is intended to prepare learners with a solid foundation of hands-on technology to leverage new, exciting approaches in analytics and intelligence fields: 1) data acquisition, 2) data engineering, 3) principles of data science, and 4) geoanalytics and visual intelligence. These key areas are designed to provide a solid foundation in understanding technology, data development, data analysis, research, decision making, and presentation/communication skills vital for organizational effectiveness. Data intelligence provides insight to address questions about data: where to find it, how to assess it, what it means, how to organize it, how to display it, how to create meaning from it, how to leverage it for decision making, and how to share it. Geoanalytics provides a powerful combination of information and analytics with geographic information systems (GIS) to meet growing demands sought after in today’s market of integrated technology solutions.
The integration of data intelligence and geoanalytics is ideal for a wide range of data-rich fields, such as public health analytics, natural resource management, business applications, urban planning, public safety, public policy, political science, demographics, and government applications. For example, it is possible to assess impacts to healthcare populations by forecasting illness or disease outbreaks, such as influenza, that will escalate in geographic areas. Evaluating data intelligence on how outbreaks will respond makes it easier to strategize localized planning logistics for providing vaccines. In learning how to couple GIS technology with growing data intelligence capabilities, graduates will be more versatile in integrating technology and data science platforms, addressing issues, and solving real-world problems to generate more informed perspectives in decision making.
Upon completion of the program, students are expected to be able to do the following:
- Analyze geospatial data.
- Apply skills in data collection, data engineering, and database administration.
- Develop custom applications and scripts for visualization and analytics.
- Engage in complex critical thinking.
- Design effective projects and research.
- Communicate with clarity and coherence.
- Evaluate the ethical and legal implications of decision making.
Program Structure and Delivery
Courses are delivered in the blended format, integrating face-to-face classroom meetings and online activities or interactions in a planned, instructionally valuable manner.
Students may use up to 21 credits from both the Data Engineering Certificate and the Geographic Information Science (GIS) Certificate or 15 credits from the GIS Certificate only or 12 credits from the Data Engineering Certificate only toward completing the M.S. in Data Intelligence & GeoAnalytics.