This option is available within the Biochemistry and Molecular Biology major at the following location:

• Corvallis

The Computational Molecular Biology option is designed for students interested in the interface of molecular biology, computer science, and statistics. It provides strong preparation for graduate school in computational biology as well as the biotechnology and pharmaceutical industry workforce. This option couples the comprehensive core training in biochemistry and molecular biology with advanced course work in mathematics, statistics, computer science, and bioinformatics. Students are strongly encouraged to participate in undergraduate research, and up to six research credits can be applied to the Upper-division Science Elective requirements. Faculty advisors work with students to identify elective courses, undergraduate research opportunities, and professional internships that support their individual interests.

Option Code: 973

Upon successful completion of the program, students will meet the following learning outcomes:

• Demonstrate a core knowledge base in the theory and practice of modern Biochemistry and Molecular Biology (BMB).
• Demonstrate experimental design and laboratory skills relevant to biochemistry and molecular biology, including preparation, experimental design, evaluation of data, and safe laboratory practices.
• Critically evaluate data and design experiments to test hypotheses relevant to the practice of Biochemistry and Molecular Biology.
• Read and evaluate primary literature in the discipline.
• Effectively communicate scientific data and ideas, using various formats appropriate for different target audiences.
• Use databases, computational tools and other online resources effectively.
• Demonstrate awareness of ethical issues in the practice of science.

Option Code: 973