Bachelor of Science Biosystems Analytics & Technology

4 Years On Campus Bachelors Program

University of Arizona

Program Overview

The B.S. in Biosystems Analytics & Technology at the University of Arizona brings together biological sciences, data analytics, engineering, and modern technology to address real-world challenges in areas such as agriculture, food, water, energy, and environmental sustainability. It is a good fit for students who enjoy working with data and technology and want to use tools such as programming, remote sensing, and precision technologies to develop practical solutions for biological and environmental problems.

Curriculum Structure

Year 1: Students begin by developing a strong foundation in mathematics, statistics, biology, chemistry, writing, and data analysis. Courses such as Introductory Biology I, Introductory Biology II, and Calculus provide the scientific and quantitative knowledge needed for more advanced study in biosystems analytics and technology.

Year 2: Students move further into the core areas of biosystems analytics, combining biological knowledge with computing, statistics, and technology. Courses such as Biosystems Analytics and Applied Biostatistics help students learn how to work with data and apply analytical methods to biological, agricultural, and environmental challenges.

Year 3: Students can develop more specialized knowledge in areas such as precision agriculture, biosystems informatics, controlled-environment agriculture, food and renewable energy, or pre-health. Courses such as Precision Observation with Drones, Remote Sensing Data and Methods, Metagenomics: From Genes to Ecosystems, and Cloud Computing give students opportunities to explore how modern technologies can be used to understand and manage complex biosystems.

Year 4: Students focus on bringing together the scientific, analytical, and technological skills developed throughout the degree. The BE 493 Internship provides practical professional experience, while the Senior Capstone gives students the opportunity to apply their knowledge to real-world problems and demonstrate their problem-solving and teamwork abilities.

Focus Areas

Precision agriculture, biometry and biosystems informatics, controlled-environment agriculture, food and bioproducts, renewable energy, pre-health, data science, remote sensing, biological systems, environmental sustainability

Learning Outcomes

Biological and environmental data analysis, quantitative reasoning, problem solving, programming and computing, data interpretation, experimentation, integration of biology and technology, teamwork, scientific communication, professional responsibility, application of technology to real-world biosystems challenges

Professional Alignment (Accreditation)

The B.S. in Biosystems Analytics & Technology is designed to develop practical scientific, analytical, technological, and professional skills relevant to modern biosystems industries. The University of Arizona does not identify a separate professional accreditation for this degree on its program materials.

Reputation (Employability Rankings)

The program prepares students for emerging careers that combine biological science with data and technology, including areas such as data science, biological technology, bioengineering, biomedical engineering, and software development. The University of Arizona's program information highlights strong career potential in these areas, including a reported median industry pay of $108,020 for data science careers in the United States in 2023.

Experiential Learning (Research, Projects, Internships etc.)

The B.S. in Biosystems Analytics & Technology at the University of Arizona gives students opportunities to apply biology, data analysis, engineering, and technology to practical challenges in agriculture, environmental monitoring, healthcare, and sustainable resource management. Students can gain hands-on experience with technologies such as drones, sensors, remote sensing, data-analysis tools, and controlled-environment systems, while research and project-based activities help them connect classroom learning with real-world applications. The program also includes a required internship and a senior capstone, giving students valuable experience before entering the workplace.

Students can build practical skills through opportunities such as:

Required internship – BE 493: Students complete BE 493 Internship, gaining professional experience through practical work and specialized training in a technical, business, or government organization.
Drone and precision agriculture technology: Students can explore drone-based observation and precision agriculture through courses such as Precision Observation with Drones and Remote Sensing Data and Methods, learning how technology can be used to monitor crops and biological systems.
Vegetation Index & Phenology Lab: The Vegetation Index & Phenology Lab provides opportunities to explore drone- and sensor-based methods for studying vegetation, crop conditions, and agricultural systems.
Controlled Environment Agriculture Center: Students can gain practical exposure to controlled-environment technologies through facilities including the Sensing & Climate Control Lab, Mars-Lunar Greenhouse, Pryor Mushroom Lab, South Pole Growing Chamber, and Vertical Farm.
Biosensors Lab: Students can explore emerging biosensing technologies through research involving smartphone-based biosensors, handheld systems for identifying viruses and cancer, and organ-on-a-chip technologies.
Remote sensing and data analysis: Courses such as BE 485 Remote Sensing Data and Methods introduce students to techniques for collecting and interpreting information from remote-sensing systems.
Sensors and controls: BE 247 Introduction to Sensors & Controls helps students understand sensing and control technologies relevant to biological, agricultural, and environmental systems.
Data science and computing: Courses including ISTA 131 Introduction to Data Science and BE 205 Engineering Analytic Computer Skills help students develop computational and analytical abilities for working with biological, agricultural, and environmental data.
Team-based projects: Students develop teamwork and problem-solving skills by combining scientific and technological knowledge to address challenges involving sustainable biological systems.
Senior Capstone: BE 498 Senior Capstone Design I gives students the opportunity to bring together their scientific, technical, analytical, and problem-solving skills through an advanced project.
Research opportunities: Students can explore research areas including big-data analysis, genomic and proteomic identification, cloud-based diagnostics, lab-on-a-chip biosensors, smartphone-based technologies, and nanotechnology-based sensing.
Career and professional development: The CALES Career Center provides support with professional development, internship searches, career talks, and networking opportunities with industry professionals.

Facilities and resources: Students have access to specialized facilities and research environments including the Biosensors Lab, Controlled Environment Agriculture Center, Sensing & Climate Control Lab, Mars-Lunar Greenhouse, Pryor Mushroom Lab, South Pole Growing Chamber, Vertical Farm, and Vegetation Index & Phenology Lab.

Progression & Future Opportunities

The B.S. in Biosystems Analytics & Technology prepares students for careers that combine data science, technology, biology, agriculture, and environmental systems. Its multidisciplinary approach gives graduates the flexibility to work in areas such as data analysis, biotechnology, precision agriculture, environmental technology, and biosystems, while also providing a strong foundation for further study.

Typical job roles: Data Scientist, Biological Technician, Bioengineer/Biomedical Engineer, Software Developer

Students can strengthen their career prospects through the following opportunities:

Career support: The CALES Career Center provides one-to-one professional development guidance, help with finding internships, career talks, and networking opportunities with industry professionals.
Employment and salary potential: University program information highlights U.S. Bureau of Labor Statistics data showing a $108,020 median annual pay for data science careers in 2023. This is an occupation-level figure and should not be treated as a guaranteed salary for graduates of the program.
Internship experience: Students complete BE 493 Internship as part of the degree, gaining practical experience and specialized training in a technical, business, or government organization.
Industry connections: Career talks, networking opportunities, and internship support allow students to connect with professionals and explore potential employers in areas such as data science, biotechnology, agriculture, environmental technology, and biosystems.
Career-focused skills: Students graduate with experience in data analysis, programming, quantitative problem-solving, biological sciences, remote sensing, precision agriculture, and technology applications, giving them a versatile skill set for modern science and technology careers.
Graduation outcomes: The program develops skills in problem-solving, data analysis, experimentation, teamwork, communication, and professional responsibility. These skills can support employment across technology, biological sciences, agriculture, environmental services, and data-driven industries.
Long-term professional value: Because the degree combines several disciplines, graduates are not limited to a single career path. Their combination of biological knowledge, analytical skills, and technological expertise can remain valuable as industries increasingly use data and technology to solve complex biological and environmental challenges.
Academic and career advising: Students can receive guidance from the program's academic advisors to plan their coursework, monitor their academic progress, and make informed decisions about internships, career preparation, and future study.

Further Academic Progression: After completing the bachelor's degree, students can continue into postgraduate study in areas related to biosystems, data science, engineering, biological sciences, environmental science, agriculture, or technology. Students interested in advanced research can also explore master's and doctoral-level study, allowing them to specialize in areas such as precision agriculture, remote sensing, water management, statistical informatics, data mining, genomics, cyberinfrastructure, and data science.