Majors & Degrees
You’ll complete general education requirements, as well as courses that provide a foundational training in the tools you’ll need to solve the grand challenges of the future.
- Two semesters of biology
- Two semesters of chemistry
- One semester of physics
- One semester of either microbiology, biochemistry, or genetics
- One semester of sensors and controls
- One semester of remote sensing
- Two semesters of computer skills
Data science and analytics
- One semester of data science
- One semester of statistics
- One semester of bioinformatics
- Two semesters of analytics
Electives are designed to allow you to delve deeper in the sciences, technology, or analytics and/or practice the skills you’ve developed through the supporting and core coursework in areas you’re passionate about, such as ecology, the environment, agriculture, or human systems. We intentionally designed the curriculum to enable transfer students to graduate in four years.
STEM Courses that Make a Major Impact
Our focused curriculum bridges the data science and technology gap in the areas of applied cyberinfrastructure, controlled environments, computing for analytics, precision agriculture, biostatistics, sensors and controls, remote sensing, and spatial data visualization through courses such as:
An introduction to Python for data analytics focused on the interpretation of biological data in a collaborative learning classroom.
Analytic Computer Skills
An introduction to Excel, Visual Basic in Excel, Python, and Matlab with an emphasis on statistics, regression, conditional statements, loops, functions and subroutines, forms, arrays, Euler method, data acquisitions, numerical methods, and symbolic processing.
Introduction to Data Science
An introduction to a variety of skills required for data analytics in organizations, education, health contexts, and the sciences.
Precision Observation with Drones
Focus on the practical aspects of small-scale multirotor unmanned aerial systems with a strong emphasis on quadcopters including their electrical and electronics subsystems, and how to size and build a small drone, add useful sensors, use the system for observing the physical and biological environment, and manage and process data collected by drones.
Controlled Environment Systems
Explore the technical aspects of greenhouse design, environmental control, hydroponic crop production, plant nutrient delivery systems, intensive field production systems, and post-harvest handling and storage of crops.
Remote Sensing Data and Methods
An in-depth overview of practical topics in land remote sensing with big data, data sourcing and provenance, characteristics, generating algorithms, data discovery, advanced analysis, and data limitations.