Biology, meet big data. At the intersection of computer science and the life sciences is bioinformatics, an industry that fuels scientific discovery and is essential in all areas of biotechnology, including personalized medicine, drug and vaccine development, and database/software development for biomedical data.

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 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

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 MSc Bioinformatics covers a diverse range of areas in bioinformatics and is suitable for students from a variety of academic backgrounds related to the life sciences (biology, biochemistry, genetics, medicine, and other biosciences). Students will learn and work together with world-leading experts. In the age of big data, conservation biology, biodiversity, genetics, and evolutionary biology involve the study of large amounts of data that increase in volume and variety at a high speed.

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 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.

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.

MSc Bioinformatics Bioinformatics combines knowledge from a variety of disciplines such as biology, computer science, mathematics, and statistics to analyze and interpret biological data on a large scale. The Bioinformatics program at Bradford includes training in experimental techniques that complements commonly used data acquisition methods in a broad range of investigative scenarios.

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.

During this programme you will learn how to formulate biologically relevant questions, how to design the correct solution and implement it by managing and analysing biological and sequencing data, and how to interpret the obtained results. Bioinformatics is essential to modern molecular biology and biotechnology.

BIOSCIENCES The BioSciences major offers a rigorous exposure to the modern experimental and computational disciplines within Bioinformatics and Medicinal Chemistry fields. The curriculum includes upperlevel coursework in chemistry, physics, applied informatics, or bioinformatics allowing students to deepen their understanding of the intricate world of (nano) bio-oriented chemistry. Students have the opportunity to experience cuttingedge modern research within the faculty. Our curriculum is designed to provide students with a broad and well-rounded education that will enable them to pursue a career in academia and pharmaceutical or IT industry. Speciality: Bioinformatics Bioinformatics constitutes an interdisciplinary research area, covering applications of computer science, chemistry, and biochemistry to solve biological problems, usually on the molecular level. Typical activities include analysis of information contained in literature, genetic and structural databases, prediction of protein structure, drug, and biocatalyst, or biosensor design. The curriculum introduces programming skills necessary for automation of database searches and analysis of numerical and bioinformatics data, including analysis of new genome sequencing (NGS) results. The study programme includes advanced computer programming as well as specialised molecular biology techniques which are highly valued in the present job market.

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.

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