The International Bologna Master in Bioinformatics addresses these questions and aims to generate knowledge and expertise in specific fields of Biology, Biotechnology, and Medicine, where it is fundamental to refer to and retrieve bio-molecular data stored in Biomedical Databases.

The Master in Systems Biology with specialization in Bioinformatics Recent advances in biotechnology have revolutionised our ability to understand biological systems at multiple molecular layers. This opens powerful ways of studying the underlying mechanisms behind health and disease. Bioinformatics and systems biology provide the competences needed to translate large-scale biological data into new knowledge.

Would you like to be involved in the development of the healthcare and medicine of tomorrow? The cross-disciplinary Bioinformatics Master’s program combines biology with IT tools derived from computer science. You will have the opportunity to process, organise and analyse large biological data sets, enabling you to contribute to understanding (for example) disease progression and how patients respond to medical treatments.

The Molecular Biotechnology and Bioinformatics master's degree aims to provide students with advanced skills in molecular biotechnology, computational biology, and bioinformatics, with a strong focus on the most advanced tools and approaches for the analysis of genomes, proteomes, and metabolomes. The main goal of the MB&B Master's degree is to give the students the broad theoretical and practical background needed to apply their knowledge to various biological/biotechnology problems.

The Master's Degree in Bioinformatics for Computational Genomics program aims to form graduates with knowledge about the molecular basis of biological systems, the structure and function of biological molecules in the cellular processes, the technologies, and platforms for the analysis of genomes, the tools for bioinformatic and genomic analysis, and the statistical and computational methodologies for the analysis of biomolecular data.

The Systems Biology Master’s program is developed in collaboration with the Faculty of Medicine, Life Sciences Center, and the Faculty of Mathematics and Informatics. This interdisciplinary Master’s degree program prepares students to perform real-world work in rapidly developing fields including, but not limited to, biological systems modelling, bioengineering, synthetic biology, bioinformatics, neurobiology and data analysis. It is ideal for current and future biologists who wish to take advantage of the most powerful statistical models and programming tools, to produce quantifiable results in their field of choice.

The Master of Statistics and Data Science is quite unique in the sense that (1) it offers a statistics education with a good sense of general data science, and (2) it offers a data science specialisation with a very sound understanding of important statistical concepts and solutions.

The Graduate School of Biomedical Science and Engineering (GSBSE) has developed a new online Professional Science Masters program in bioinformatics. Bioinformatics is the application of mathematical, statistical, and computational approaches to understand biological processes. The PSM in bioinformatics is an online program and includes interdisciplinary classes across the fields of mathematics, computer science, spatial information science and engineering, and molecular and cell biology.

Genomics, Phenomics and Bioinformatics is an interdisciplinary graduate program that involves 27 faculty from six departments and three colleges.

Bioinformatics is dedicated to the research, development or application of computational tools to help in the analysis of biological data that include areas such as biology, medicine, agriculture, among others, focusing on the acquisition, storage, organization and visualization of these data. On the other hand, computational biology focuses on the development and application of analytical data, mathematical models, computational simulation techniques and theoretical methods, for the study of biological, behavioral and social systems. The object of the Master is based on the tools, instruments and methodologies provided by bioinformatics and computational biology for the study of living beings. The Master's Degree in Bioinformatics and Computational Biology is a novel bet of the articulation of four universities in Manizales, thanks to the support of SUMA and organizations such as the Luker Foundation and the Center for Bioinformatics and Computational Biology of Colombia, BIOS.

There is an incredible need for properly prepared bioinformaticians to address the current revolution in biology.

Computer-based approaches are becoming increasingly important in biological research. The study of Bioinformatics and Computational Biology at the University of Bern gives you a good basic knowledge and prepares you for a career in a large amount of working fields. The information necessary to build and control any living organism is written in its genome and stored in the language of the genetic code. It took 13 years and 3 billion dollars to decipher the human DNA blueprint. A single decade later, sequencing a whole genome takes but a few hours on a machine that fits on a tabletop and it costs just shy of 5000 dollars. Consequently, biological and medical sciences are now collecting enormous amounts of information. This tsunami of data generates new problems: it needs to be analyzed properly to unearth and retrieve the exciting knowledge it contains. And, most importantly, it also has to be made available to the scientific community in a useful way.

Bioinformatics is dedicated to the research, development, or application of computational tools to help in the analysis of biological data that include areas such as biology, medicine, agriculture, among others, focusing on the acquisition, storage, organization, and visualization of these data. On the other hand, computational biology focuses on the development and application of analytical data, mathematical models, computational simulation techniques, and theoretical methods, for the study of biological, behavioral, and social systems.