Dec 27, 2024  
Graduate Catalog | 2015-2016 
    
Graduate Catalog | 2015-2016 Previous Edition

Bioinformatics Technology, Graduate Certificate


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The Graduate Certificate in Bioinformatics Technology trains students in method development for analysis of large-scale biological data and modeling of complex biological systems, with a focus on acquiring complementary skill sets in life sciences and in programming, statistical analysis, and database development. The certificate requires fifteen (15) credit hours of coursework. The certificate may be pursued concurrently with a related graduate degree program at UNC Charlotte.

Admission Requirements


For admission into the certificate program, applicants must meet the following requirements:

  1. A bachelor’s degree in related field, including, but not limited to, a life science, physical science, mathematics, or computing discipline.
  2. Practical experience and confidence with computers, for instance use of common web browsers, word processing, plotting, and spreadsheet applications.

Program Requirements


Students will follow one of two pathways through the program, depending on their bachelor’s degree field and previous experience. The following courses make up the required core:

Notes:


If a student wishes to enter the program having completed coursework that is equivalent to the core course requirements, the core requirements may be waived at the discretion of the certificate coordinator. In this case, the required 15 coursework hours may be selected from the electives listed above, or from other advanced graduate courses offered by the Department of Bioinformatics and Genomics.

Transfer credit may not be applied toward this certificate.

It is suggested that students in the Graduate Certificate Program arrange formal co-mentorship by a Department of Bioinformatics and Genomics faculty member, if the student is concurrently enrolled in another thesis-based degree program on campus and intends to extend or enable their thesis research through the application of bioinformatic methods.

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