Programs | Bioinformatics for Industry
Master's program
English taught
120 ECTS
4 full-time semesters
435 000 rubles per year

Program Overview

Are you in to combine knowledge in molecular biology, programming with scientific approaches to offer new solutions in biological problems?

Bioinformatics lies in the interface of biology, computer science and statistics and aims to give meaning and interpret a huge mass of biological data. Students will learn how to manage methods and software tools to process and analyze large-scale data generated from wet lab experiments in Omics research

Applications are invited for academic year starting September, 2019. For exceptional applicants 10 fellowships covering tuition fee are available

Program curriculum

Alexander Melerzanov, MD, PhD, Dean, about Master's program 'Bioinformatics for Industry' 

Core Subjects

Systems Biology
Genetics
Genomic Medicine
Molecular Modelling
Drug Design

Career Tracks

Graduates are in high demand in research labs at Biotech, Biomedical and Pharmaceutical Industry, Health Care and Academy as Bioinformaticians, Computational Biologists and Biosystems Analysts

Areas for future employment:

Program in Faces

  • Meet Prof. Makeev

    Meet Prof. Makeev

    Program Coordinator,
    Professor

    e-mail: mpib@vigg.ru

TOP 5 Skills to Master

Medical Informatics
Nanomedicine: Terranostic
Computer-Aided Diagnostic
Big Data for Pharma
Digital Health

Research & Development

Science in Phystech

The School comprises the largest number of research groups. 28 laboratories conduct research on the entire spectrum of life sciences: innovative full-cycle pharmaceuticals and medical chemistry, the development of medical equipment and information technologies based on artificial intelligence, laboratory cell and genomic technologies, including medical and agrobio

Basic tracks

  • Design of medications and the various “omics” — connectomics, genomics, proteomics, metabolomics, etc
  • Study of biomaterials and artificial organs, theranostics, neuro- and cardiophysics, and aging mechanisms
  • Health networks, smart systems for patient rehabilitation, and equipment for early disease detection and prevention

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