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.

Mastering the science of blood – exploring its characteristics and disorders, and understanding how it’s transfused – impacts far beyond the laboratory. We’ve designed our MSc Haematology and Transfusion Science degree to enable you to develop an advanced theoretical understanding and the practical techniques you’ll need to apply in a research or clinical context.

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 Teaching Division of Biomedical Sciences offers a wide range of specialization tracks, combining research and studies in medical and life sciences with emphasis on understanding the functioning of the human body in situations of health and disease. The program prepares its graduates for teaching and research positions in academic institutions, and research and works in knowledge-intensive industries, hospitals, and healthcare systems.

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’

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 MS program in Biomedical Engineering (BME) welcomes students from diverse backgrounds, including: students with undergraduate degrees in biomedical engineering and other engineering disciplines who seek advanced professional training or specialization in a particular area of biomedical engineering; students with an undergraduate degree in Physics, Mathematics, Computer Science, Chemistry, Biology or other fields of natural or health science who seek to diversify their career opportunities by acquiring an engineering degree; students who are preparing for admission to advanced health-related or other professional programs such as medical school; professional engineers with undergraduate degrees in other disciplines who plan to enter the field of biomedical engineering.

Gain a detailed understanding of contemporary microbiology – by researching the industrial, commercial, and medical aspects of the discipline. MSc Molecular Microbiology explores the fundamental principles that underpin environmental, industrial, and medical microbiology. Learn how microorganisms cause disease and interact with the immune system and what practical steps can be taken to prevent and treat these conditions.

Biomedical image computing is a large, rapidly growing industry and research field comprising the formation and analysis of diagnostic images. Both image system design and biomedical image analysis currently are being revolutionized at a tremendous rate by the emergence of machine learning techniques. This Master of Science in Biomedical Image Computing degree addresses the need for efficient, rigorous training focused at the intersection of biomedical imaging science, high-performance computing, and machine learning.

Medicinal chemistry is a scientific discipline at the intersection of chemistry and computational science, connected with designing, synthesizing, and developing new pharmaceuticals. In the beginning, medicinal chemistry was involved in screening natural sources like plants or animals for bioactive compounds. Now, natural products serve as the lead structures in the synthesis and development of new chemical entities dedicated for therapeutic use.

The MS in Biophotonics at Tufts School of Engineering provides a broad curriculum that encompasses the design, engineering, and use of optical tools for diagnostics and therapeutics, advanced microscopes, and more. The program is administered by the Department of Biomedical Engineering with additional support from the Department of Electrical and Computer Engineering and the Data Intensive Studies Center.

The Master’s Degree in Biomedical Sciences aims to provide students with a high-quality education of international standing so that they can develop a deep understanding of their science and versatile thinking, something critical for their professional career in the modern environment.

Aging society and increasing interest in well-being require new solutions for more personalized and precise healthcare from novel imaging to reliable, remote monitoring of patients as well as wellness devices to support prevention and rehabilitation. The biomedical engineering industry is an increasingly important, global high-tech sector. In Finland, the health program industry is especially strong. With the emergence of numerous small enterprises, the fields of biomedical sciences and engineering are rapidly expanding and offer diverse career options.

The Master’s in Biomedical Engineering presents a multidisciplinary program that allows graduates to pursue a professional career in areas related to biomaterials and medical devices, medical biotechnology, imaging, diagnostic and therapeutic systems, processing and treatment of biomedical signals, and health technology management.

Biomedical and Health Informatics refers to the application of information and communication technologies in support of health and health-related fields and includes public health data, electronic medical records, telemedicine, mobile health applications, personalised medicine, home automation and more.