Master's Program in Bioinformatics in the Ohrid Macedonia

Top Master Degrees in Bioinformatics in the Ohrid Macedonia

Bioinformatics

A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.

Bioinformatics deals with the application of computer approaches to make sense of biological systems. It has become a key focus for industry, especially in the post-genomic age.

Macedonia's large abundance of natural and cultural attractions make it an attractive destination of visitors. Skopje is the country's political, cultural, economic, and academic center and has several universities.

Top Master's Program in Bioinformatics in the Ohrid in Macedonia

Read More

Master Degree in Computational Biology

University For Information Science And Technology
Campus Full time September 2018 Macedonia Ohrid

Computational biology is one of the most exciting areas of modern science. With the latest technological advancements molecular biology and related fields approach information sciences, algorithms, computer tools and analysis of massive data bases. [+]

Master Degree in Computational Biology Introduction

Computational biology is one of the most exciting areas of modern science. With the latest technological advancements molecular biology and related fields approach information sciences, algorithms, computer tools and analysis of massive data bases. Individual medicine becomes a reality. The constant stream of new technologies, new data and new insights guarantees vibrant and satisfying future research, and creates continuous professional opportunities in the industry and academia.

Computational biology is a scientific discipline that refers to the use of computers to perform automated analysis of the data or to model hypotheses in the field of biology. Through computational biology researchers apply mathematics on biological phenomena using computer programming and algorithms in order to model the phenomenon, and thus statistically process data and interpret information.... [-]