Bachelor's in Bioinformatics

With a rich history spanning over 700 years, Sapienza University of Rome has welcomed over 120,000 students and boasts a faculty of over 3,500 professors and 3,000 professional staff. As the largest university in Europe, it is dedicated to advancing society through research, quality education, and global partnerships. The university has earned high rankings for its research, educational quality, and international reach, and is highly regarded across many fields of study.

Bioinformatics is a widely established discipline with skills universally recognized and in demand on both the public and private national and international markets. Historically developed starting from the sequencing of the genomes of model organisms and above all of the human genome in the 90s, bioinformatics has now structurally entered into basic research in genetics, biochemistry and molecular biology and into more applied research in the biomedical field, point to require close peer-to-peer collaboration between the biologist/physician and the data analysis expert (bioinformatic). It mainly deals with: - Provide mathematical-statistical models useful for the analysis and interpretation of biomolecular experimental data. The most relevant aspect is the need to integrate very large amounts of data (big data) from extremely heterogeneous sources ("omics" technologies) to identify the "key" elements underlying a specific biological process of interest to the doctor /biologist. - Develop computational models and methods for the analysis of biological sequences and gene expression data (genome, transcriptome, proteome, epigenetic profiles, post-transcriptional and post-translational modifications, genomic localization of proteins, genetic polymorphisms, RNA/DNA editing, etc.) in order to identify specificities/phylogenetic analogies and relevant mutations, for example, for diagnosis and personalized medical therapy (tumors, vaccines, genetic diseases). - Organize integrated archives equipped with analysis platforms for a better use and presentation of biomolecular data - Analyze and predict the structural and functional aspects of macromolecules and their interactions with ligands and drugs.