Master degree program
Data - Journalism

Data - Journalism

QUALIFICATION

  • Scientific and pedagogical direction - Master of Social Sciences

MODEL OF GRADUATING STUDENT

Formed a matrix of correlation of the educational results of the educational program with the formed competencies (Appendix 2.1)
Upon completion of this EP it is expected that undergraduates will be able to:
ON1. Demonstrate knowledge of the Big-date system and its application in journalism; classify the basic concepts of data-journalism about the mechanisms of interaction with convergent media.
ON2. Is able to apply his/her knowledge and solve problems in the field of statistical analysis and their application in the work of a journalist, analyze various types of texts within the research context.
ON3. Design, analyze and implement projects with big data, have basic programming skills in Python, demonstrate the work with information sources.
ON4. Able to integrate knowledge and cope with complex issues of modeling and data mining classification for data mining, necessary for making decisions in various areas of journalism.
ON5. Able to apply his knowledge and manage tasks in the field of machine learning, artificial intelligence and in-depth data analysis using mathematical statistics to create high-quality content in the media sphere.
ON6. Able to integrate knowledge and cope with the complex tasks necessary to search for, obtain and convert data and their integration for intellectual analysis.
ON7. Formulate judgments based on incomplete or limited information in the field of design and evaluation of interfaces for data visualization and infographics for the work of convergent editions and to manage it.
ON8. Plan and carry out experiments, solve design tasks for obtaining, evaluating, integrating and analyzing data in computational linguistics used in subject-oriented information systems.
ON9. Describe, justify and present scientific results on the digital media business using open data.
ON10. They have the ability to adapt, implement, analyze and competently use acquired knowledge to solve problems, allowing them to solve data-journalism problems in a holistic way and demonstrate the results obtained.
ON11. To develop research projects on interactive journalism and digital start-up in data journalism, allowing to completely solve the problems of journalism.
ON12. Generate the data retrieval process by developing the skills for the animation required to create and promote motion design.

Program passport

Speciality Name
Data - Journalism
Speciality Code
7M03201
Faculty
Journalism

disciplines

Computational linguistics and Artificial Intelligence
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the course is to develop a master's student's systematic understanding of the problems of artificial intelligence in computational linguistics and the application of AI in data journalism. The impact of artificial intelligence on modern methods and technologies for analysing and processing natural language, requirements for practical skills and theoretical knowledge necessary for successful application of computational linguistics and AI in various fields will be considered.

Computational linguistics and text analysis
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline: to form an understanding of the modern method of computational linguistics applied to text processing in information systems, theory and concept of development of data journalism. As a result of studying the discipline, students will consider the following issues: the discipline is aimed at mastering the issues of data analytics and journalism in the conditions of modern digitalisation and convergence.

Data visualization and infographics
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form the ability of in-depth ideas about data visualization and infographics, skills of preparing various types of visual data and graphic contents. Discipline is aimed at studying the methods of using data visualization and infographics in various communicative situations, solving problems in scientific and professional activities based on analysis, synthesis, planning of visual data. During the study of the discipline students will learn following aspects: study of methods of using data visualization and infographics in various communicative situations, solving problems in scientific and professional activities based on the analysis, synthesis, planning of visual data.

Data Visualization and Infographics
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form an algorithm for preparing various types of data visualization and infographics. The course studies the history of infographics, the basics of visual thinking, the fundamentals of data presentation, data visualization and infographic features, animated infographics, and the typology of data visualization: tables, charts, diagrams, illustrations, pictograms, maps; Learn to analyze and create various data visualizations and infographics.

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.

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.

Interactive Data journalism and visualisation
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to form students' ideas about technologies, methods, techniques of interactive data journalism on the implementation of research projects. To master the skills of studying the main scientific problems and features of interactive data journalism.

Interactive Date-journalism
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form students' ideas about the technologies, methods, techniques of interactive journalism data on the implementation of research projects. During the course study, form undergraduates' abilities: - Demonstrate case studies and projects on the formation of profound views of undergraduates in data visualization and infographics to create a high-quality media product and content. - design and analyze professional opportunities and starting potential of undergraduates to create a start-up campaign for data visualization. - demonstrate the methods and techniques for creating interactive technology for the implementation of research projects. - develop and analyze programs to promote visual data for convergent editions. - establish and maintain effective communication with colleagues using their own visual content. During the study of the discipline students will learn following aspects: the process of interactive data journalism at the interdisciplinary level will be studied in order to compile high-quality content and organize spatial data; data quality assessment, rules for working with metadata, the study of the practice of sharing maps and geodata.

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.

Theoretical concepts of Data journalism
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to form abilities and in-depth understanding of the theoretical concept of data-journalism, which are relevant for the creation of a quality and effective journalistic product and content.

Data for 2021-2024 years

disciplines

Big data in digital media
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form the ability to use big data and their application in the digital media industry, also to adapt, and competently use the acquired knowledge to solve problems, allowing to solve problems of date journalism and demonstrate the results obtained. Problems of the process of description, justification and presentation of scientific results on the digital media business using open data will be studied.

Data Analytics in media management and business
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the ability to systematize the scientific and methodological issues of data analytics in media management and business, also to demonstrate the methods and techniques for creating interactive technology for the implementation of research projects. During the study of the discipline students will learn following aspects: The discipline is aimed at studying the issues of interpretation and modeling of the main scientific problems and features of data transformation, which are objects of social and technical sciences, business and technology.

Data literacy and storytelling
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form professional competences in the field of data-literacy and storytelling methodological problems, the use and description of media technology tools at the interdisciplinary level. During the study of the discipline students will learn following aspects: Issues of data literacy and storytelling will be studied in the context of their own scientific research on the creation of “robo-journalism”, robots-authors who own tools of remarketing and generation of template content.

Data mining and analytical journalism
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to form the ability to apply modern methods and technologies that allow to differentiate, argue and cope with complex questions on modelling and classification of data mining necessary for decision-making in various spheres of journalism.

Data-reporting and data transformation
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the ability and understanding of the theory and practice of data transformation in an amount that is optimal for use in the preparation of data reporting and subsequent professional activity.

Digital media business and open data
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to develop skills in data search, acquisition and transformation, data integration, data quality assessment and suitability for further use in the digital media sphere.

Digital startup in data journalism
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The main purpose building skills of professional competence in developing, analysing and implementing projects with big data, working with media and information sources, digital start-up.

Graphic design and programming
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the ability to apply the skills to create a creative graphic design with visual data. During the study of the discipline students will learn following aspects: Standards in project management will be studied; ways to monetize the project; project risk management.

Journalism and Artificial Intelligence
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The goal of the discipline is to develop students’ basic understanding of working in the media communications market through the introduction of artificial intelligence technology into the production of media products, assessing their effectiveness and involving the audience in media projects created using AI. The discipline is aimed at mastering professional skills in the production of media products using artificial intelligence technologies.

Media design and Big data
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline: to form professional competences in the field of data visualisation and infographics, also skills of preparation of different types of visual data and graphic content. During the study of the discipline students will study the following aspects: the process of designing and evaluating interfaces for data visualisation and infographics will be studied, also the development and analysis of a programme to promote visual data for convergent editions.

Motion design and web animation
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to form skills and abilities to work with technologies of graphics, video and animation in modern media industry, to develop information programmes, operational graphics and animation for the production of graphic projects, as well as practical work of a journalist.

Smart Journalism: Machine Learning and Neural Networks
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline - to form the ability of scientific and methodological, educational and analytical work in the field of design and evaluation of interfaces for journalism. Evaluate and manage the basics of machine learning and methods of artificial intelligence and in-depth data analysis.

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: gaining experience in the study of an actual scientific problem, expand the professional knowledge gained in the learning process, and developing practical skills for conducting independent scientific work. The practice is aimed at developing the skills of research, analysis and application of economic knowledge.

Data for 2021-2024 years