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University For Information Science And Technology Master Degree in Computational Biology
University For Information Science And Technology

University For Information Science And Technology

Master Degree in Computational Biology

Master degree

English

Full time

On-Campus

Key Summary

    About : The Master Degree in Computational Biology focuses on the intersection of biology and computational sciences. This program aims to equip students with the skills needed to analyze complex biological data and use computational techniques to solve biological problems. Students will engage in practical applications and research, providing a strong foundation for careers in various sectors.
    Career Outcomes : Graduates of this program can pursue careers as bioinformaticians, computational biologists, or work in pharmaceutical research. Other potential avenues include roles in genomics, data analysis, and academic research, where they can contribute to advancements in health and biotechnology.

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 databases. 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.