analytics tools, students apply basic statistical reasoning, exploratory data analysis, and data visualization techniques to transform raw data into actionable insights. Applied exercises and problem-based activities prepare students to support operational, financial, marketing, and managerial decisions in agriculture, business, environmental management, supply-chain operations, and other data-driven professional settings.

Prerequisite: AFE/MIS 200 or consent of the instructor.

This course introduces students to the fundamental concepts, tools, and applications of Geographic Information Systems (GIS) and geospatial technologies. Students gain hands-on experience working with GIS software to acquire, manage, visualize, and analyze spatial data. The course emphasizes spatial thinking, data-driven decision-making, and problem-solving using geospatial data. Through guided laboratories and applied exercises, students work with vector and raster datasets, coordinate systems, spatial analysis techniques, and cartographic visualization. Students apply GIS tools to real-world problems in agriculture, environmental science, urban planning, business site selection, and transportation systems.

Prerequisite: BUA 101, with a grade of C or better or consent of the instructor.

This course introduces the business application of data models and the principles of data management design to meet organizational information needs. Emphasis is placed on designing and managing databases that support effective decision-making.

This course equips students with advanced Excel and digital tools for data-driven decision making across diverse professional and organizational contexts. Through hands-on exercises, students develop proficiency in key Excel functions while exploring business intelligence software, decision support systems, and data analytics platforms. Emphasis is placed on using data to support analysis, improve operational efficiency, and inform strategic decision-making in a variety of disciplines.