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.

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.

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.

Over the past few years, Bioinformatics has become the most exciting field in biology. This Bioinformatics MSc course provides a unique hands-on learning experience in bioinformatics skills, by combining the latest advances in analysing high-throughput genomic, transcriptomic and metabolomics data.

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.

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.

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.

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 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.

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 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 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’

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.

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.

The progress of all master's candidates is monitored biannually by the supervisor and the postgraduate coordinator. A candidate's study may be terminated if the progress is unsatisfactory or if the candidate is unable to finish his/her studies during the prescribed period.