Education programs | MIPT - Moscow Institute of Physics and Technology

You can learn more about the program and get tested on the site

Head of program

  • Vsevolod J. Makeev

    Vsevolod J. Makeev

    Head of Division of Computational and System Biology
    Vavilov Institute of General Genetics
    Russian Academy of Sciences

Program focus

This research and training program aims to provide students necessary skills and knowledge for using the large-scale biological data obtained in the course of biological experiments, including various “omics”, epidemiological and pharmacological studies. Applied bioinformatics also uses methods based on statistics and machine learning. Students gain in-depth knowledge in the field of modern molecular biology, genetics and related biological disciplines.

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

Aspects studied

Genomic Medicine
Machine learning
Algorithms of bioinformatics
Transcriptome, epigenomics
OMIСS data


Full program curriculum

Program highlights

Industrial Bionformatics is a promising program for the further employment both in science and in many commercial enterprises. We invite students with basic knowledge in maths and computer science to perform calculations in bio. This program is built by experts, who proved themselves both in industry and academia. Our educational program sends students to leading international and Russian research centers and institutes, some of which participated in the creation of the program, such as: Georgia Tech, BostonGene, Martin Luther universität halle-wittenberg, Sechenov university, Phillips etc. During their studies, our students are involved in research work with our key partner BostonGene. For students who have not fully mastered any of subjects, individual trajectory of study will be created, including the Coursera and Stepik platforms.


Real examples from research projects
Practical experience in solving real biological problems
Interactive, on-line and individual educational process

Program outcomes

Graduate of this program should gain the:

  • Practical skills and knowledge in applying bioinformatics and statistical methods for analyzing and interpreting biological data
  • Knowledge of how to reformulate real biological and genetics problems in technical language and understand the appropriate approaches to them
  • Proficient knowledge and practical skills in the application of methods of Machine Learning
  • Basic experimental skills in independent research on the field of microbial diversity and microbiome
  • Basic knowledge and experimental skills of the features of data obtained through high-throughput sequencing platforms

Career opportunities

  • Machine Learning/Research Engineer
  • Research Scientist
  • Junior/Senior bioinformatics specialist

Specific entry requirements

You can learn more about the program and get tested on the site

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