Magistracy
Speciality Code:
7M03201
Speciality Name:
Data- Journalism
Faculty:
Journalism
Qualification:
- Scientific and pedagogical direction - Master of Social Sciences
- Model of graduating student
- Mandatory disciplines
- Elective disciplines
- Professional
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.
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.
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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.
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History and Philosophy of Science
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose: Understanding of modern philosophy as a system of scientific knowledge, including worldview in rational-theoretical comprehension. The discipline includes aspects of the evolution and development of scientific thinking, historical moments, the contribution of scientists and scientific schools to the formation of science, and ethical and social aspects of scientific activity.
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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 is to train masters in conducting scientific research, carrying out scientific and methodological work, socializing young students and their participation in the corporate governance system of Organization of higher and postgraduate education (OHPE). Undergraduates learn to interact with OHPE stakeholders, participate in research projects.
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Pedagogy of Higher Education
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose: To provide pedagogical theories and practical strategies for effective teaching in higher education, fostering critical thinking, and academic success. The course explores instructional methods, curriculum design, assessment techniques, and classroom management strategies preparing educators to create inclusive and stimulating learning environments.
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Psychology of management
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Formation of knowledge about the fundamental concepts of management psychology for the practical application of the most critical aspects of management in professional interaction. Basic principles of management psychology, personality in management interactions, management of personality behavior, modern ideas, psychology of managing group phenomena, motivation, and practical reflection.
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Theoretical concepts of Data journalism
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form the ability and in-depth understanding of the theoretical concept of dat journalism, which are relevant for creating high-quality and effective journalistic product and content. During the course study, form undergraduates' abilities: - substantiate, organize and define the process of studying the theory and practice of Data journalism in an amount that is optimal for use in subsequent professional activities. - explain the main scientific problems and features of Data journalism, which are objects of social and technical sciences, business and technology. - analyze, evaluate and classify at the intersection of the sciences of information technology and mass communication in the context of their own scientific research. - design and analyze research work, including the development of research methodology arising in the process of analyzing data in order to improve its effectiveness. - demonstrate the methods and techniques for developing and improving the professional qualities of data journalism. - interpret and critically evaluate the experience of date analytics within the framework of various paradigms of media research. During the study of the discipline students will learn following aspects: theoretical questions and practical cases, expanding the professional opportunities and starting potential of undergraduates, are also introduced adaptation courses: humanitarian backgrounds of the technical and economic areas.
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Computational linguistics and text analysis
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form the abilities and ideas about the theory and concept of the development of data journalism, the modern method of computer linguistics used in word processing in subject-oriented information systems. During the course study, form undergraduates' abilities: - interpret and contextualize the process of data processing and their application in data journalism. - analyze and classify the basic concepts of intellectual linguistics and technologies of their use in a convergent edition. - to apply, demonstrate and illustrate new technologies necessary for searching, receiving, transforming data and their integration for intellectual analysis. - plan and carry out experiments, solve design tasks for obtaining, evaluating, integrating and analyzing data in computational linguistics used in subject-oriented information systems. - differentiate, argue, conduct an experiment and summarize the results on modeling and classification of data mining, necessary for decision-making in various fields of data journalism. - decide, use, demonstrate control tasks in the field of machine learning, artificial intelligence and in-depth data analysis using the mathematical statistics tool to create high-quality content in the media sphere. - to build the learning process as a dynamic system based on the methodological approaches of computational linguistics (activity, student-centered, competence, credit system). - to carry out research project activities in the field of computational linguistics, to present its results During the study of the discipline students will learn following aspects: the discipline is aimed at studying the issues of dat-analyst and journalist in modern conditions of digitalization and convergence, possessing the skills of logical-linguistic modeling
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Foreign language (professional)
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose is to acquire and improve competencies by international standards of foreign language education and to communicate in an intercultural, professional, and scientific environment. A master's student must integrate new information, understand the organization of languages, interact in society, and defend his point of view.
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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.
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Writing and Preparation of masters Dissertation
- Number of credits: 12
- Type of control: Master Dissertation
- Description: The main purpose of "The implementation of a Master Thesis": the formation of master students in preparation for the defense of the thesis for the Master in specialty (by industry). During the study of course, master student's should be competent in: 1. demonstrate the progress of solving problems arising in the course of research activities and requiring in-depth professional knowledge; 2. to argue for carrying out theoretical or experimental research within the framework of the tasks, including a mathematical (simulation) experiment; 3. can choose the necessary research methods, modify existing methods and develop new methods, based on the tasks of the specific study; 4. to use foreign languages for independent work on normative sources and scientific literature; 5. formulate the goals and objectives of the dissertation research, determine the scientific novelty and practical significance of the results of research activities; to develop a structurally methodological scheme for performing research.
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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 course study, form undergraduates' abilities: - integrate knowledge about data literacy and storytelling in the context of your own scientific research. - design and analyze research work on the creation of "robo-journalism", report and present the results. - to carry out research project activities to create robots, authors, owning tools remarketing; generating template content. - implement successful communication strategies and trajectories for analyzing data on virtual, augmented and mixed reality, evaluate and manage the work of a journalist in VR / AR devices. 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.
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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. In the course of studying the course to form students' abilities: - analyze the methodological problems of data literacy and storytelling, apply and describe media technology tools at an interdisciplinary level. - to interpret and model the main scientific problems and peculiarities of data transformation, which are objects of social and technical sciences, business and technology. - systematize the main scientific and methodological issues of data-analytics in media management and business. 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.
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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. In the course of studying the course to form students' abilities: - to argue and classify the current state of theory and practice of data transformation in an amount that is optimal for use in the preparation of data reporting and subsequent professional activity. - analyze the methodological problems of data literacy and storytelling, apply and describe media technology tools at an interdisciplinary level. - to interpret and model the main scientific problems and features of data transformation, which are objects of social and technical sciences, business and technology During the study of the discipline students will learn following aspects: the process of analyzing and interpreting virtual and augmented reality will be studied; a creative approach to each stage of work on the creation of a date-report, the creation of a finished product for immersive journalism.
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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 course study, form undergraduates' abilities: - to demonstrate, interpret and contextualize the process of graphic design and programming in professional activities. - to interpret and argue the methodological problems of graphic design and programming, to apply and describe web-design tools. - explore and present new ways of interaction between graphics, video and animation in the modern media industry. - to interpret and model the main scientific problems and features of graphic design and programming, which are objects of social and technical sciences and technology. - to systematize the main scientific and methodological questions about graphic design and programming in the context of their own scientific research. 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..
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Media design and Big data
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form professional competencies in the field of data visualization and infographics, as well as the skills of preparing various types of visual data and graphic contents. During the course study, form undergraduates' abilities: - to demonstrate, interpret and contextualize the process of graphic design and programming in professional activities. - to interpret and argue the methodological problems of graphic design and programming, to apply and describe web-design tools. - explore and present new ways of interaction between graphics, video and animation in the modern media industry. - to interpret and model the main scientific problems and features of graphic design and programming, which are objects of social and technical sciences and technology. - to systematize the main scientific and methodological questions about graphic design and programming in the context of their own scientific research. During the study of the discipline students will learn following aspects: The process of designing and evaluating interfaces for data visualization and infographics will be studied, as well as the development and analysis of a program to promote visual data for convergent editions.
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Motion design and web animation
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form the skills and abilities to work with technologies of interaction of graphics, video and animation in the modern media industry. During the course study, form undergraduates' abilities: - design and analyze research work on the creation of promotion of design and web animation, report and present the results. - implement successful communication strategies and trajectories for branding with means of promoting the design, tools and means of identity. - demonstrate methods and techniques for the development and improvement of the practice of applying the tools necessary to carry out the entire production cycle of graphic projects. - develop and present a research project of graphic design of information programs and operational graphics. During the study of the discipline students will learn following aspects: The processes needed to complete the entire production cycle of graphic projects, principles of graphic design of information programs and operational graphics, and animation parameters for practical work of a journalist will be studied.
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Big data in digital media
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The main purpose 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. During the study of the discipline students will learn following aspects: problems of the process of description, substantiation and presentation of scientific results on digital media business using open data will be studied
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Data mining and analytical journalism
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The main purpose The purpose of the discipline is to form the ability to apply modern methods and technologies to differentiate, argue and cope with the complex issues of modeling and classifying the data mining necessary for decision-making in various areas of journalism. The training course is aimed at designing, analyzing and implementing projects with big data, to demonstrate working with sources of information. During the study of the discipline students will learn following aspects: The course is aimed at designing, analyzing and implementing projects with big data, demonstrating how to work with information sources.
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Digital startup in data journalism
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The main purpose The purpose of the discipline is to develop skills of professional competence in the field of digital start-up, which allow solving the tasks of data journalism in a holistic manner. The discipline is aimed at studying the technological process of a digital startup and classifying the basic concepts of data journalism about the mechanisms of interaction with convergent media. To build the learning process as a dynamic system based on Smart Journalism’s methodological approaches. During the study of the discipline students will learn following aspects: study of the digital start-up technological process and classification of the basic concepts of data journalism about the mechanisms of interaction with convergent media. The learning process is built as a dynamic system based on Smart journalism methodological approaches.
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Smart journalism: Мachine learning and neural networks
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The main purpose. 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. The training course is aimed at studying the issues of analysis, interpretation and management of artificial intelligence, machine learning, the algorithm of neural networks in journalism. During the study of the discipline students will learn following aspects: The training course is aimed at studying the issues of analysis, interpretation and management of artificial intelligence, machine learning, the algorithm of neural networks in journalism
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Journalism and Artificial Intelligence
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The main purpose The purpose of the discipline is to form the ability to design and implement the process of obtaining, evaluating, integrating and analyzing data using the methods of computer linguistics studied. Know theories and concepts of computer linguistics and new formats, trends in modern data journalism. Discipline is aimed at studying the theory and practice of computational linguistics, linguistic analysis of data and their integration, analysis. During the study of the discipline students will learn following aspects: The main theories and concepts of computational linguistics and new formats, trends in modern data journalism will be studied. Discipline is aimed at studying the theory and practice of computational linguistics, linguistic data analysis and their integration, analysis.
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Digital media business and open data
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form the skills of searching, receiving and transforming data, integrating data, assessing their quality and suitability for further use in the field of digital media. During the course study, form undergraduates' abilities: - compare, collate and solve problems in the field of statistical analysis and their application in the work of a journalist, analyze different types of texts within the research context - establish and maintain effective communication with colleagues offline and online; - plan and carry out experiments, solve design tasks for obtaining, evaluating, integrating and analyzing data in computational linguistics used in subject-oriented information systems. During the study of the discipline students will learn following aspects: the study and application of big data in business also focuses on the phenomenon of open data, models of dat journalism and digital media business.
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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.
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Pedagogical
- Type of control: Защита практики
- Description: Aim оf discipline: formation of the ability to carry out educational activities in universities, to design the educational process and conduct certain types of training sessions using innovative educational technologies.