Page 2 of 2, mSc Programs in Bioinformatics
Page 2 of 2, compare 18 Master of Science Degrees in Bioinformatics
18 Results in Bioinformatics
This is a reference program leader in its field used in research in various fields such as sociology, economics, political science and biomedicine. Basically the different forms of study comprising the Stata software, containing abundant data required for the management of graphics data and conceptualizing mathematical analysis as the basis for the understanding of statistical theory.
The aim of this MSc is to equip you with a strong background in biology, plus the computing skills and knowledge necessary to navigate the vast wealth of modern biological data. On completing this programme you will be able to take up PhD studies or bioinformatics posts in academia or in industry.
Versatile and future-oriented, the Master’s degree program prepares students to pursue exciting professions in pharmaceutical research, biomedical research, genetics, biotechnologies, data analysis, and software development.
Become indispensable by learning how to solve biotechnology and pharmaceutical problems, utilizing genomic data and next generation tools with our innovative online Master of Science in Bioinformatics.
The MS degree program combines rigorous study in the science of biostatistics applied to medical and health problem solving, with coursework in workforce skills such as management of health policies, big data, medical research, and entrepreneurship projects.
Both Bioinformatics and Systems Biology are strongly interdisciplinary fields. This Master's programme combines molecular and cell biology, computer science and mathematical modelling to integrate vast amounts of biological data into fundamental knowledge. You will develop a strong feel for scientific research and high levels of abstraction, and learn to combine the rapid developments in these fields.
The programme is aimed at students who are interested in Information Technology and want to apply this to the medicine or healthcare fields. It is given jointly between Karolinska Institutet and Stockholm University and you will get a joint degree from both universities.
Bioinformatics is developing software and algorithms to interrogate 'Big Data', now at the heart of medical research, discovery and practice. The past decade has seen enormous advances in molecular and biomedical technology resulting in the ‘omics’ revolution.
Biology, medicine, computer science and statistics intertwine in this broad Master's programme and the biological data derived from genomic studies, structural biology and other areas of biology and medicine often serves as the basis.
Our programme will provide you with essential skills in both molecular and computational techniques. You will learn how to design and perform experiments, and efficiently analyse next-generation sequencing data. You will acquire research data mining skills for Biological Sciences, Transcriptomics, Genomics, Proteomics and Metagenomics.
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.
Graduates develop a strong foundation in biotechnology, computer programming, computational mathematics, statistics, and database management, and will be prepared for careers in the biotechnology, bioinformatics, pharmaceutical and vaccine industries.
Life Sciences is one of the strategic research fields at the University of Helsinki. The multidisciplinary Master’s Program in Life Science Informatics (L.S.I.) integrates research excellence and research infrastructures in the Helsinki Institute of Life Sciences (HiLIFE). As a student, you will gain access to active research communities on three campuses: Kumpula, Viikki, and Meilahti. The unique combination of study opportunities tailored to the offering of the three campuses provides an attractive educational profile.
At Perdana University School of Data Sciences, we aim to gain insights into a broad range of biological research questions using a range of mathematical, statistical, computing and bioinformatics tools.
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.