Doctor of Philosophy in Biomedical Informatics. McWilliams School of Biomedical Informatics at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI) offers a full time a doctoral program in Biomedical Informatics that is designed to be inherently trans-disciplinary and integrative. Involving students with a variety of backgrounds, the program emphasizes fundamental informatics concepts that can apply to all health disciplines. The program is only offered on a full-time and on-campus basis. Students usually take five years to complete this 93-semester credit hours program.

PhD in Bioinformatics and Computational Biology The Doctoral Study Program (DSP) Bioinformatics and Computational Biology is a combined study program aimed at three areas of education (Informatics; Biology, Ecology and the Environment; General Medicine and Dentistry). It is a multidisciplinary "doctoral degree" program between two universities. All subjects offered to students of this DSP are a combination of subjects focused on informatics - guaranteed by VŠB-TUO (50%), and subjects focused on biology and medical sciences - guaranteed by Palacky University in Olomouc (30% + 20%).

MSc (Bioinformatics) degree or relevant master's degree

Biology, biotechnology and biosciences have been rapidly developing since 2000. To handle the data produced, computer technology is required due to the excessive amount of data.

The Bioinformatics Master of Science degree program prepares you for a multidisciplinary career in biomedical sciences by educating you on how to analyze data and problems associated with molecular, cellular, physiological and genetic systems. This programs is offered full- or part-time, with course offerings during the evening and weekends

Students in the program will perform advanced study, training and research in areas that focus on functional genomics, high-throughput phenotyping, and computation analysis of genomic and phenomic data. This will lead to an understanding of the many -omics fields interact to understand how a phenotype is expressed.