Investigate and program the latest large-scale data to solve complex agricultural, human and environmental challenges.
The B.S. in Biosystems Analytics and Technology brings together data science and applied engineering to make the most of our planet’s food, water and energy. By studying precision agriculture, remote sensing, programming languages and cyberinfrastructure development, you’ll be ready for an in-demand career optimizing technology as it relates to environmental, ecological, biological and human systems.
The College of Agriculture, Life & Environmental Sciences offers $1 million in scholarships to our students! Combine these options with university scholarships and support from privately funded scholarships and you're well on your way to achieving your educational goals at a price you can afford.
Students in the Department of Biosystems Engineering have exclusive access to nearly $7,000 program-specific scholarships, awarded from 11 different scholarships -- in addition to $230,000 in scholarships that are available to all or most CALES students.
A degree in Biosystems Analytics & Technology prepares you for careers in biotechnologies, biosystem data science and engineering. It also can serve as a springboard for graduate school. According to the U.S. Bureau of Labor Statistics, the median pay for data science careers was $108,020 per year with a much faster than average job growth overall (2023).
Although your career possibilities are limitless, here are some example career paths our students follow:
- Data scientist: use analytical tools and techniques to extract meaningful insights from data.
- Biological technician: help biological and medical scientists conduct laboratory tests and experiments.
- Bioengineers and biomedical engineers: combine engineering principles with sciences to design and create equipment, devices, computer systems, and software.
- Software developers: design and test computer applications or programs.
Earth Sensing:
| Precision Observations with Drones |
| Applications of Geographic Information Systems |
| Introduction to Machine Learning |
Biometry & Biosystems Informatics:
| Metagenomics |
| Applied Biostatistics |
| Cloud Computing |
Controlled Environment Agriculture:
| Hydroponics |
| Ecosystem Health and Justice |
| Greenhouse Pest Management: Methods and Practice |
Digital Agriculture:
| Artificial Intelligence |
| Globalization, Sustainability, and Innovation |
| Crop Science and Production |
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