Compare 17 Master of Science Degrees in Bioinformatics

Bioinformaticians are distinguished by their ability to formulate biologically relevant questions, design and implement the appropriate solution by managing and analyzing high-throughput molecular biological and sequence data, and interpret the obtained results.

This interdisciplinary two-year programme focuses on acquiring:

The 120-credit programme consists of a reorientation package (one semester), a common package (two semesters) and a thesis.... [-]

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.

Cranfield’s Bioinformatics MSc is the first of its kind in the UK. With more than 200 alumni over the past 10 years, it became the most popular postgraduate course in Bioinformatics in Europe. Because Cranfield is a solely postgraduate university it means that every single taught module of the Applied Bioinformatics MSc is uniquely tailored to be a Masters-level. That’s why it is the award-winner of the BBSRC’s Masters Training Grant (MTG) for best course in life sciences. Our taught modules cover in great depth a plethora of programming languages typically applied in the bioinformatics, such as Perl, Java, R and SQL; as well as modern Web technologies such as JavaEE, NoSQL and JavaScript. Furthermore, we have two dedicated taught modules focusing on established bioinformatics protocols for the latest Next Generation Sequencing (NGS) and 3rd Generation Sequencing (3GS) technologies.... [-]

Bioinformatics is a rapidly growing interdisciplinary field which combines mathematical and computer sciences with biology and/or medicine. With the recent advancements in biotechnology, biologists are frequently overloaded with large datasets which need to be stored and analyzed in automated ways. Bioinformatics provides the tools to understand complex biological systems ranging from entire ecological systems to specific human diseases, to cellular and molecular networks.

The total credit hours required for graduation is 36. The core courses include two classes in computer science (Bioinformatics, Algorithms), two classes in Statistics (Probability Theory, Applied Statistics), two classes in biology (Cell biology, Genomics), and the Bioinformatics Research Seminar course (taken each semester). The remaining credit hours may be selected from a large number of graduate classes in Mathematics, Computer Science, Biology, Biomedical Engineering, or Electrical and Computer Engineering at the University of Memphis.... [-]

Recent technological advances have turned biology in data-driven science. Bioinformatics is the interdisciplinary domain in which biology, computer science, statistics, mathematics, and engineering are combined to support this data-driven approach.

Bioinformatics is a booming interdisciplinary field that is driving innovation in many disciplines ranging from fundamental science in biology and computer science to applied research in biotechnology, pharma industry, medical decision making, food science, and big data analysis.

The increasing impact of the field, together with the need for multi-angle approaches to tackle bioinformatics related problems has created an urgent need for highly trained scientists with an interdisciplinary mindset.... [-]

Bioinformatics is a branch of the life sciences that focus on analysing and integrating big data acquired in biomedical experimentation.

Over the last couple of years '-omics' technologies have transformed healthcare practice, biomedical research and industry, and there is a shortage of biomedical graduates with bioinformatics training in the advanced healthcare sector.

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.... [-]

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.

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).... [-]

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.

You’ll be looking at the big data to find patterns that others can’t see, gaining access to data sets that have not yet been analysed.

You’ll discover results that translate to the real world, through commercialisation or clinical trials to tackle diseases.

You’ll use your vision to find unique solutions to medical problems, and by the end of the degree, you’ll be ready to work within a multidisciplinary team with bioinformaticians, biologists and clinicians.... [-]

The bioinformatics masters combine biotechnology, computer programming, and computational mathematics to prepare you to utilize and create technologies that will discover, treat, and cure a range of medical illnesses.

The MS degree in bioinformatics provides students with a strong foundation in biotechnology, computer programming, computational mathematics, statistics, and database management. Graduates are well-prepared for academia and careers in the biotechnology, bioinformatics, pharmaceutical, and vaccine industries.

In laboratory exercises and assignments, students learn to sequence DNA and use computer programs to analyze DNA sequences and predict molecular models.... [-]

As a graduate with the MS in Bioinformatics, you’ll have the educational foundation to interpret complex biological information, perform analysis of sequence data using sophisticated bioinformatics software, and program software when needed. The degree covers not only the theoretical aspects of the field but also the practical side of bioinformatics. And it’s taught by the Hopkins faculty members who are actively developing these exciting new technologies.

Designed for working adults, the program offers courses online and onsite. You can even complete the degree entirely online.

Students must complete all academic work in a master’s degree or certificate program within five years.... [-]

Build your skill-set in data mining, data visualization, predictive analysis and data management with Lewis University's online MS in Data Science degree. Students will have the opportunity to leverage cutting-edge cloud computing resources and use an array of techniques and theories such as linear algebra and distributed storage and processing — all to identify trends and solve problems with big data.

Bioinformatics is a broad subject in which biology, medicine, computer science and statistics intertwine. Many times, the basis for bioinformatics is the massive amount of biological data derived from genomic studies, structural biology and other areas of biology and medicine. Computational biology also involves mathematical modelling of biological systems.

Special features of the programme:

Next-Generation Sequencing (NGS) technology produces large amounts of data in a very short time. Analyzing and understanding the human genome, epigenome, and the associated transcriptome is a growing challenge. It is therefore important to generate an effective and resilient interface between biologists, chemists, physicians, and pharmacists, as research in life sciences is not only carried out in the laboratory. The amount of data that is generated by sequencing the genetic material of humans, animals or plants must be computationally processed and correlated in order to make it usable: This is the task of Life Science Informatics.

Biomedical research currently uses a wide variety of computer-based analyses to identify and analyze genes that are predictive for the prognosis or response to therapy of a disease (personalized medicine and molecular diagnostics). The analysis and evaluation of these data sets require knowledge of medical and scientific basics in combination with application-oriented computer science. These core competencies are intensively taught in an application-oriented manner in the Master Life Science Informatics postgraduate degree course.... [-]

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.

The master responds to the growing use of high-throughput omics techniques, both in the context of biomedical research and in the pharmaceutical and biotechnology industries and to the increasing demand for highly qualified professionals in this field.

The program covers genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics, interactomics, and integromics and provides knowledge of the most important techniques for omic data acquisition and analysis. The students will be able to analyze omics data information using appropriate statistical and bioinformatics tools.... [-]

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.

Health informatics deals with learning how to improve modern healthcare through efficient management of knowledge and health information. You will learn methods to make healthcare safer, more efficient and of higher quality through computer-based information and knowledge management.

Students with a technical background start by taking courses in basic medical science and healthcare organisation and management at Karolinska Institutet while students with a background in healthcare take courses in basic computer and systems sciences at Stockholm University. After this, both groups join to focus on health informatics. In the second year, students profile their education by taking elective courses and complete a degree project.... [-]

The Master Degree ("Laurea Magistrale") in “Bioinformatics for Computational Genomics” is a joint initiative of the University of Milano and the Politecnico di Milano, and will be activated starting from the Academic Year 2019-2020.

Overall, it 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.... [-]