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.
Through this program, students will gain knowledge about the different techniques of application of computational biology in areas such as molecular biology, cell biology, biochemistry, evolutionary biology, biotechnology, and population biology.
The goal of the program is to provide graduates who will be able to identify and model biological phenomena, and to program new models for execution. The curriculum is designed for students with basic mathematical preparation, basic programming skills and technical skills for data analysis.
Through the program students will gain mathematical quantitative skills, including probability theory and numerical methods for computing. The biological part of the curriculum will be supported by an increase in the quantum of knowledge in the field of molecular biology, cell biology, biochemistry, evolutionary biology, biotechnology, and population biology. Different engineering methods will be learnt and simulation models to predict results.
Master studies in computational biology last for a period of two years, four semesters, according to the model 3 +2.