The B.S. in Biocomputational Engineering curriculum is designed to cover a breadth of fundamentals in biology and quantitative problem-solving. Students will develop skills in computation and data science that can be applied to the modeling of complex biological systems and the analysis of complex biological datasets.
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The fields of Biomedical Engineering and Bioengineering are impacting our society by yielding new imaging and diagnostics technologies, new therapeutic delivery methods, and the possibility of new methods for the repair or construction of tissues and organs. At the same time, computational methods and data science are perfusing into every field of engineering, as well as the life sciences and medicine.
The objective of the Biocomputational Engineering program at Shady Grove is to provide a breadth of fundamentals in biology and quantitative problem-solving. Students will develop skills in computation and data science that can be applied to the modeling of complex biological systems and the analysis of complex biological datasets in order to advance knowledge from the molecular to organ to system levels. Even more, they will hone skills to develop processes for the prevention, diagnosis, and treatment of disease. The synthesis of bioengineering, computation, and data science will give graduates unique capabilities to solve existing and emerging challenges of the modern medical world.
Fundamentals included in the instruction:
Skills taught by the program: