Master degree program
IT-Genetics

IT-Genetics

QUALIFICATION

  • Scientific and pedagogical direction - Master of Natural Sciences

MODEL OF GRADUATING STUDENT

LO1. Apply modern achievements in the fields of general, molecular, environmental and medical genetics in scientific and practical activities;
LO2. Model genetic processes and mechanisms of life activity of biosystems using IT-technologies and mathematical modeling;
LO3. Analyze scientific, technical and patent information using information technology, including Internet resources, for scientific research;
LO4. Investigate the mechanisms of genome functioning and inheritance, changes in genes under the influence of environmental factors, using the methods of general and molecular genetics and genetic engineering;
LO5. Design genetic information databases and software for genetics, biomedicine, agriculture and ecology;
LO6. Apply programming techniques (R, Python) for statistical analysis, data visualization and software development;
LO7. Conduct complex, including interdisciplinary, research using mathematical modeling of mutational, population and evolutionary processes;
LO8. Develop educational and methodological materials with interactive methods and teaching tools, introducing them into the educational process;
LO9. Generate scientific and practical ideas and projects to enhance interdisciplinary communication in genetics and information technology;
LO10. Recognize the need for continuous professional and personal self-education, applying the principles of bioethics and biosafety in scientific and practical activities.

Program passport

Speciality Name
IT-Genetics
Speciality Code
7M05104
Faculty
Biology and Biotechnology

disciplines

Biostatistics in Genetics
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to form the ability to apply statistical methods in genetics to determine a statistically significant difference in the degree of heritability and variability of the compared study groups. It will consider parametric and nonparametric methods of biostatistics (Student's test, chi-square, Mann-Whitney test, etc.), correlation, regression analysis; analysis of variance (ANOVA); methods for determining the inheritance and inbreeding coefficients; methods of accounting for the frequency of mutations.

Data Analysis in R
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to develop the ability to effectively use the R programming language for statistical analysis, processing and visualisation of data of various types and scales. It will consider the introduction to R and R-Studio, data preprocessing, working with data frames, downloading data from various sources (CSV, Excel, databases), using graphics packages in R, and statistics in R.

Ethics and Biosafety in Genetics
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to develop the ability to apply genetic technologies and biosafety methods following national and international bioethics standards in biology, genetics and medicine. It will consider basic principles of bioethics, bioethical problems of genetics, bioethical attitudes to laboratory animals, state and international requirements for conducting preclinical and clinical studies, and GLP rules.

Evolutionary biology
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to form the ability to analyse evolutionary biology's achievements and contemporary problems. It will consider methods of evolutionary biology: paleontological, biogeographical, morphological, and molecular genetic; the neutral theory of molecular evolution, theory of Punctuated equilibrium, theory of evolutionary epigenetics, principles of evolutionary developmental biology; modern problems of the synthetic theory of evolution; achievements of experimental evolutionary biology and unresolved questions of evolutionary biology.

Foreign Language (professional)
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form practical skills in various types of speech activity in a foreign language. The training course builds the ability to perceive, understand and translate information in the modern global space, participate in scientific events to test their own research. The discipline is aimed at improving competencies in accordance with international standards of foreign language education.

Genetic Engineering
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to develop the ability to practice molecular genetic methods in genetic engineering. It will consider general principles of gene cloning; design methods for hybrid (recombinant) DNA molecules (recDNA); vector DNA molecules; expression of cloned genes in pro- and eukaryotic cells; gene-engineering system of Saccharomyces cerevisiae; vector systems of animal and plant cells.

History and Philosophy of Science
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form a holistic systemic understanding of philosophy as a special form of cognition of the world, its main sections, problems and methods of their study in the context of future professional activity. The training course forms the theoretical and methodological basis of research work.

Organization and Planning of Scientific Research (in English)
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline to form the ability to apply practical skills in the organization and planning of scientific research. The discipline studies: forms and methods of planning, organization and design of scientific articles and dissertations; forms of summarizing the results of scientific research in presentations, speeches, projects, articles.

Pedagogy of Higher Education
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form the ability to teach in universities and colleges based on knowledge of higher school didactics, theory of education and management of education, analysis and self-assessment of teaching activities. The training course is aimed at studying the trends in the development of education and the Bologna process. The course will help you master teaching and curatorial skills, various strategies and methods of teaching and education.

Psychology of Management
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to provide scientific training of highly qualified specialists based on the study of fundamental concepts of management psychology, creating prerequisites for a theoretical understanding and practical application of the most important aspects of the field of management in the process of professional formation. The course is aimed at studying the patterns of development and functioning of mental processes, the basics of effective interaction and conflict resolution, self-development and self-presentation.

Data for 2021-2024 years

disciplines

Agrogenetics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to develop the ability to apply genetic technologies to improve crops and animals, increase yields, and increase resistance to diseases and adaptation to environmental changes. It will consider methods of plant breeding and improvement, biotechnological approaches in crop production, molecular markers for breeding, genetic aspects of increasing productivity and health of farm animal breeds.

Computer Networks and Systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to form the ability to design and support computer networks and systems. It will consider various applications of computer networks and systems, the architecture of the Internet, network elements (gateways and routers), IETF standards, the performance of this set of routing protocols, queue mechanisms and congestion control mechanisms on the example of a specific network and systems.

Gene Diagnostics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to develop the ability to interpret the results of genetic analyses and apply the data obtained to diagnose, treat, and prevent diseases. It will consider the molecular basis of hereditary diseases and genetic variability, genome-wide and exome sequencing, polymerase chain reaction (PCR) and FISH method for determining genetic abnormalities, diagnosis of monogenic and polygenic hereditary diseases, and assessing the risk of developing diseases.

Genetic Databases
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to form practical skills in creating, managing and using databases that store genetic information. It will consider data structures and database algorithms, database management systems, genetic data structuring, organisation of genetic databases, queries for data extraction and analysis, and methods for integrating genetic data with other data types.

Genopathology
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to form the ability to analyse the molecular genetic mechanisms of the occurrence, development and inheritance of various pathological conditions and diseases. It will consider molecular, biochemical, and cytological bases of genetic diseases; monogenic, multifactorial and chromosomal diseases; methods of prevention, diagnosis and treatment of hereditary diseases; enzymopathies; methods of diagnosis of genetic diseases.

Modeling Dynamic Genetic Processes
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to form practical skills necessary for modelling genetic processes. It will consider a unified modelling language UML; class diagrams; modelling of simple cooperatives, database logic, system dictionary; activity diagram; data representation using the entity-relationship model; structured approach to software modelling; features of modelling of genetic processes; BLUP methodology.

Molecular Genetic Expertise
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to form the ability to analyse the results of the molecular genetic examination to establish the genetic authenticity of biomaterial. It will consider the study of DNA profiling methods: analysis of polymerase chain reaction (PCR), analysis of restriction fragment length polymorphism (RFLP), analysis of short tandem repeats (STR), the practical application of DNA diagnostics in forensics and determining the relationship of a person; databases of DNA profiles in the world.

Population Genetics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to form the ability to analyse patterns of inheritance and variability of the genotypic composition of populations under the action of elementary evolutionary factors. It will consider populations' ecological and genetic characteristics, their basic properties and structure, and patterns of inheritance in panmictic populations, Hardy-Weinberg methods for finding allelic and genotypic frequencies in populations.

Processing and Visualization of Big Data
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to develop the ability to analyse big data. It will consider statistical analysis of Big data results; MapReduce, Hadoop, and Spark tools and methods; machine learning methods for large amounts of data; administering large-scale data analysis systems; methods and tools for effective data visualisation; methods for determining data quality, detecting distortions and errors.

Programming on Python
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Aim of discipline: to form the ability to apply object-oriented and functional programming approaches using the Python language that allow you to quickly move on to solving problems in the relevant subject areas. Learning outcomes: reproduce reference solutions of standard data processing problems in the Python language; create and debug Python applications.

Psychogenetics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to develop the ability to use genetic data to understand the influence of genes on psychological processes and behaviour. It will consider the genetic basis of behaviour; the genetics of mental disorders (depression, schizophrenia, autism, bipolar disorder, etc.); the influence of heredity and the environment on the development of mental disorders; methods of psychogenetics: population, genealogical, method of foster children and the method of twins.

Software for Genetics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Discipline aims to develop the ability to effectively use and develop software tools for analysing genetic data. It will consider basic algorithms and data structures used in the analysis of genomic data; sequencing data processing platforms (BLAST, BowTie, GATK, etc.); web platforms with tools for complex processing of biological data; creation and validation of user software.

Data for 2021-2024 years

INTERNSHIPS

Pedagogical
  • Type of control - Защита практики
  • Description - Formation of practical, educational-methodical skills of conducting lectures, seminars, creatively apply scientific, theoretical knowledge, practical skills in teaching activities, conduct training sessions in the disciplines of the specialty; own modern professional techniques, methods of training, use in practice the latest theoretical, methodological advances, make educational, methodological documentation.

Research
  • Type of control - Защита практики
  • Description - The purpose of the practice is to develop the ability to plan and conduct research work. The practice develops academic skills, including the preparation and conduct of research work, both individually and as part of research teams and structural units of scientific institutions. The research practice aims to collect and process large amounts of data (factual material) using modern information and communication technologies to carry out the research work. During the course of research practice students should be competent in: - plan research and development work; - to work with scientific literature independently: to annotate scientific sources, to make abstracts and reviews; - independently conduct scientific research in the field of language system and basic laws of literature development; - use modern information resources to solve research problems; - collect, process, analyze and systematize scientific information; - use innovative methods of domestic and foreign philological schools; - argumentatively present the results of scientific research; - prepare and edit scientific publications: theses, articles. During the course of research practice students will learn following aspects: Theoretical foundations of research work. Modern methods and techniques in philological research. Independent development of scientific and applied projects in the field of linguistics and literary criticism. Rule of formation of educational and methodical literature. Interpretation of the results of scientific research.

Data for 2021-2024 years