7М05105 – IT-Genetics

Educational program

7М05105 – IT-Genetics

Field of education

7М05 – Natural Sciences, Mathematics and Statisticsка

Direction of educational program

7М051 – Biological and related sciences

Group of educational program

М081 - Genetics


The program is aimed at training a competitive specialist possessing theoretical knowledge of general and molecular genetics, able to handle software in applied genetics, genetic monitoring, data bases and programming methods for multifactorial statistical genetic investigations, genomes and genes with given parameters using modern digital technologies; able to solve the issues of the software saturation and optimization of applied objectives of genetics, biology, biomedicine, biotechnology, ecology, forensics, the foundation, preservation and assessment of the germplasm and other areas of professional activity that demands the knowledge and skills of the IT-genetics expert.

Language of education

Kazakh, Russian, English

Volume of the credits


The awarded academic degree


Learning outcomes

LO 1 - Estimate modern achievements of general and molecular genetics, ecological and medical genetics, and apply them in research and practice;

LO 2 - Based on IT technologies simulate genetic regulations and mechanisms of biosystems functioning at different levels of the organization of living things;

LO 3 - Analyze scientific, technical and patent information by the subject of investigation using information technologies including web technologies;

LO 4 - Analyze epigenetic mechanisms of functioning and genome inheritance; mechanisms of gene alterations under environmental factors and tumor development, at stem cells differentiation;

LO 5 - Use methods of general and molecular genetics for practical tasks of biomedicine, farming, biotechnology, wildlife conservation, and paleontology;

LO 6 - Design the databases on genetic data and develop the software for solving practical objectives in biomedicine, agriculture, biotechnology and ecology;

LO 7 - Apply tools of distant access to calculation resources of the corporative use and launching simultaneous programs of the computing clusters targeted to applied genetics;

LO 8 - Imply methods of R programming for statistical analysis of the research and practical data and modeling methods to solving applied tasks in plant and animal breeding;

LO 9 - Design and conduct complex investigations including those transdisciplinary by implying mathematical modeling of mutational, populational and evolutionary processes;

LO 10 - Generate scientific as practical ideas to strengthen transdisciplinary ties between genetics and information technologies;

LO 11 - Develop educational programs based on interactive courses by using interactive methods, forms and teaching tools;

LO 12 - Be aware of the need to form new competences based on professional and personal self–education, promotion of the development for society and science; work in the team.

For applicants