Education programs | MIPT - Moscow Institute of Physics and Technology

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Head of the program

Vsevolod J. Makeev

Head of the 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 with necessary skills and knowledge in using the large-scale biological data obtained in the course of biological experiments, including various “omics” as well as epidemiological and pharmacological studies. Methods based on statistics and machine learning are also utilized in applied bioinformatics. Students obtain in-depth knowledge in the field of modern molecular biology, genetics and related biological disciplines.

Aspects studied

Genetics

Genomic Medicine

Biostatistics

Machine learning

Algorithms of bioinformatics

Transcriptome, epigenomics

OMIСS data

Curriculum

Basic Biostatistics
Introduction to Molecular Biology and Genetics
Microbiology and Metagenomics
Machine Learning
NGS Data Analysis
Population Genetics
Transcriptomics, Epigenomics and OMICS Data Analysis
Algorithms of Bioinformatics/
Data Structures and Algorithms

Full program curriculum

Program highlights

Industrial Bionformatics is a promising program for the further employment in science as well as in many commercial enterprises. Students with basic knowledge in maths and computer science to perform calculations in bio are welcomed to the program. This program created by experts, who have proved themselves both in industry and academia. During their studies, students are sent to work and practice in the leading Russian and international research centers and institutes, some of which have participated in the creation of the program, such as: Georgia Tech, Martin Luther universität Halle-Wittenberg, Sechenov University, Phillips etc.

Highlights

Real examples from research projects

Practical experience in solving real biological problems

Interactive, on-line and individual educational process

Program outcomes

Graduates 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 in 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
            