The Johns Hopkins MS in Bioinformatics program will immerse you in the topics and applied methods of computational modeling, molecular biology, systems biology, structural biology, proteomics, genomic sequencing and genomic analysis, microarrays and microarray analysis. Drawing upon the strengths of the Johns Hopkins' Biotechnology and Engineering, the program creates a rigorous bioinformatics curriculum that brings together the computer science, biosciences and bioinformatics disciplines.

The multidisciplinary Master’s Programme in Life Science Informatics (LSI) provides the tools to gain knowledge from models and data. It integrates research excellence across the Faculties of Science, Medicine and Bio- and Environmental Sciences with the Helsinki Institute of Life Sciences (HiLIFE), thus providing cutting-edge education from experts in the life sciences, medicine, mathematics, statistics, and informatics

This program aims to form "genome data scientists", that is, graduates that will have an adequate knowledge about the molecular basis of biological systems; the structure and function of biological molecules and how they participate in cellular processes; the technologies and platforms for the analysis of genomes; the tools for bioinformatics and genomic analysis; and the statistical and computational methodologies for the analysis of biomolecular data.

Bioinformatics is a fusion of biology, statistics, and computer science that focuses on the development and application of computational solutions for analyzing and handling biological and biomedical data. The field of bioinformatics plays a key role in modern biology and biomedicine, where collecting and analyzing large data sets is essential.

Online MSc Bioinformatics Drive discoveries for today’s data-driven health and life science industries and academic institutions by learning how to extract meaningful information from complex data sets at one of the top universities for biological and computer science.

The past decade has seen enormous advances in molecular and biomedical technology resulting in an ‘omics’ revolution. Bioinformatics (health data science) covers the application of mathematics, statistics and computing (including AI and machine learning) to biological and clinical scenarios. Algorithms and software tools are used to understand and interpret patient-derived ‘Big Data’

The aim of the Master is to produce well-trained professionals in Bioinformatics and Omics Data Analysis who after graduation would be able to perform efficient and rigorous analysis of large amounts of genetic and molecular data in a wide range of applications.

McWilliams School of Biomedical Informatics at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI) offers a Master of Science in Biomedical Informatics with two tracks: the research track and the applied biomedical informatics track.

The past decade has seen enormous advances in molecular and biomedical technology resulting in an ‘omics’ revolution. Bioinformatics covers the application of mathematics, statistics and computing to biological and clinical scenarios. Algorithms and software tools are used to understand and interpret patient-derived ‘Big Data’.

The study of Biology is undergoing a revolution driven by new technologies that enable scientists to generate extensive amounts of data. For example, the costs of sequencing nucleic acids have dropped dramatically, resulting in unprecedented amounts of genomic, transcriptomic, and proteomic data.

With the steady advancement of Quantitative and Computational Biosciences and analytical tools, all branches of Biological sciences are being swamped with a deluge of data that is calling out for analyst professionals. The QuaCBio Master’s degree combines courses from the biological and hard science realms, with a strong emphasis on hands-on bioinformatics trainings. Through this approach, students with a comprehensive STEM background are expected to get together and cross-contaminate when dealing with Big Data in omics, evolution, ecology and physiology and become the next generation of Computational Biologists.

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.

Unifying Biology, Informatics, and GIS for Future Innovations

Explore the unique combination of biotechnology, programming, and computational mathematics to combat illness and create novel technologies for industry.

The Master’s in Life Science Informatics prepares students to tackle the challenges of analysing large-scale NGS data. It equips them with expertise in biomedical research, personalised medicine, and molecular diagnostics through a blend of life sciences and applied computer science, fostering skills for data-driven genetic analysis.