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New Certificate Program in Computational Genetics

The School of Arts and Sciences recently approved a new program for interested Genetics majors to earn a certificate in Computational Genetics.  

The volume of data being generated in Genetics and related life science fields has been expanding tremendously in recent years, and career opportunities for geneticists with computational and quantitative expertise are simultaneously growing. This certificate program is intended for students who are either interested in applying to graduate-level programs or planning careers in Computational Genetics, Statistical Genetics, Bioinformatics, or other programs in quantitative biomedical related research.

The goal of the CCG is to provide students with guidance, coursework, and relevant data design and analysis experience to enhance graduate school applications.  This program is only open to declared Genetics Majors.  The Certificate will be awarded only in conjunction with the awarding of a baccalaureate degree in Genetics.  At the end of the program students will:

a. Have gained competence in genetic data analysis using basic computer programming and statistical analysis.

b. Be prepared to apply to M.S. or Ph.D. graduate programs in the areas of Computational Genetics and Bioinformatics.

c. Be prepared to apply for career positions in industry, biotech companies, pharmaceutical companies, medical centers, or universities. 

Additional details will be posted soon on the Genetics department website.  Interested students should contact Dr. Derek Gordon (This email address is being protected from spambots. You need JavaScript enabled to view it.). 

 

The volume of data being generated in Genetics and related life science fields has been expanding tremendously in recent years, and career opportunities for geneticists with computational and quantitative expertise are simultaneously growing. This certificate program is intended for students who are either interested in applying to graduate-level programs or planning careers in Computational Genetics, Statistical Genetics, Bioinformatics, or other programs in quantitative biomedical related research. 

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