Concentration Areas

DATA JOURNALISM

Journalism is always progressing. The University of Missouri’s Data Science and Analytics MS degree will provide students with cutting-edge knowledge of data strategies and analytics. Graduates will master how to effectively use data to understand audiences and how to communicate with them.

BIOTECHNOLOGY

The University of Missouri’s Data Science and Analytics MS Biotechnology Emphasis will be given a tailor-made approach to data in the biotech and healthcare industry. Students will be able to present and interpret their data results and communicate findings with a broad audience.

STRATEGIC COMMUNICATION

Graduates emphasizing in Strategic Communication will have the unique ability to assemble consumer data and design strategies for optimal communication with a tech-savvy audience. Additionally, students will develop in-depth knowledge of core program objectives and the ability to fulfill diverse data responsibilities.

HUMAN CENTERED DESIGN FOR DATA

The Human Centered Design for Data emphasis will develop student’s understanding of theoretical foundations. Students will use the hands-on experience necessary to understand strengths and limitations of different methods. They will learn the significance of each component in the information lifecycle and its impact technical and social data analytics.

HIGH PERFORMANCE COMPUTING

Focusing on the data intelligence businesses need, the University of Missouri’s Data Science and Analytics MS degree with an emphasis in High-Performance Computing (HPC) will immerse students Big Data computational ecosystems.

Geospatial

Geospatial data science meets a number important emerging technology and economic development challenges. In today’s world, data is becoming increasingly location-based. This location-based data will continue to power the next generation of location-aware services, applications, and insight. The University of Missouri’s Data Science and Analytics MS degree will provide students with cutting-edge knowledge of geospatial data strategies, including geospatial Big Data, GIS, geostatistical analysis, and remote sensing. Graduates will become among the world’s leading geospatial and location-driven focused data scientists.