MSc in Biosystems Engineering -Biometry and Biosystems Informatics in Tucson United States | University of Arizona

The department was founded in 1891. In 2018, it underwent a name change to Biosystems Engineering, along with its graduate programs. Mirroring other Land Grant institutions, this department operates under the joint oversight of the College of Agriculture and Life Sciences and the College of Engineering. Biosystems engineers apply principles of engineering, mathematics, and life sciences to create systems for managing soil and water resources, food production, biological product development, and large-scale data analysis. Their work spans energy efficiency, material utilization, biochemical applications, and waste recycling. By integrating technical expertise, computational methods, and control systems, they gain insights into agriculture and biology that could potentially inform the design of extraterrestrial life support systems. Students can focus on water resource engineering or biological engineering.
The Master of Science program in Biosystems Engineering provides diverse research opportunities in areas such as Controlled Environment Agriculture, Water Resources, Biometry and Biosystems Informatics, Food Science, Bioproducts, and Renewable Energy. The curriculum's adaptability enables students to tailor their studies with faculty guidance to meet individual career goals.
Our aspiration: BE aims to become a global pioneer in creating technologies for sustainable food, bioenergy, bioproducts, and biological data management in arid regions. We envision attracting international students and professionals to collaborate in our initiatives.
Biometry and Biosystems Informatics focuses on health challenges, particularly infectious diseases affecting humans, animals, and ecosystems (air, water, food). Contemporary threats like avian/swine flu, SARS, tuberculosis, and toxic E. coli strains demonstrate the interconnectedness of animal, food, and environmental health. Addressing these requires ecosystem-level approaches. The BE department has a proven track record in tackling these problems through mobile diagnostics, cloud computing, big data analytics, genomic pathogen identification, microfluidic biosensors, and nanoscale therapeutic solutions.