The Bioinformatics Certificate program meets the
growing demand for life science professionals who are fluent in this cross-cutting
discipline. Increasingly, bioinformatics is the engine by which researchers
process, analyze and interpret the vast quantities of data generated every day
across labs in Maryland, nationally and globally. The program equips students to:
- Manage and configure bioinformatics data sets
- Manipulate and format bioinformatics for downstream analysis
- Select and apply appropriate tools related to genomics, structural biology and proteomics
- Conduct statistical analyses for bioinformatics problems
- Demonstrate skills for effective communication in the field
Students benefit from the qualifications of Hood’s excellent faculty and the experience of adjunct professors from the region’s top R&D and biotech firms and federal and private laboratories. Classes are small, encouraging individual attention and collaboration. Courses are taught in the evening to accommodate the working professional.
is designed for students who have a background in biotechnology, biomedical
science or the life sciences.
Application requirements include one or the following: acceptance into the Biomedical
Sciences program at Hood College; a completed Master’s degree (MA or MSc)
in a biology-related field; or a completed undergraduate degree in a related
field (BA or BSc) with a GPA of 2.75 or higher.
Undergraduate coursework must include: microbiology, organic chemistry,
pre-calculus, upper level genetics (equivalent to Hood’s BIOL 316) and cell
biology (equivalent to Hood’s BIOL 339).
International students, please
see www.hood.edu/gradapplyintl/ for additional information.
submit the graduate school application. Request one copy of
official transcripts from each institution of higher education attended and submit
an essay that describes your future goals and relevant work experience. All documents should be sent directly to the
Grade point average
A minimum 2.75 undergraduate GPA is required for admission to the graduate school.
||Nucleic Acid Sequence Analysis/Protein Modeling
||Programming for Bioinformatics
||Bioinformatics Applications I
||Bioinformatics Applications II
||Computational Genomics and Proteomics