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Big Data Journalism

Field of study
Journalism

Master's

Full–time

Russian

TUITION FEE

₽ 380 000

$ 5250

ABOUT THE PROFESSION

Therefore, the ability of working with audiences, profiles, search results and other data is no longer a technical task, but serious media management. This programme will not only be useful for you. It is about a new superpower in the digital world.

BENEFITS OF THE PROGRAM

Digital technologies

Big Data Journalism is a two-year master’s programme for students who see their future in interacting with digital technologies.

Leading experts

Classes are taught by leading experts in digital journalism, computational mathematics, algorithms, linguistics and project management.

Collaboration

Opportunities for international, multilingual and interdisciplinary work.

Supercomputer

Possibility of data processing on a supercomputer.

Data arrays

Any data array will be a source of even bigger data for you, and you will be able to convey the results of their analysis to your audience in the best possible way: in the form of a data article, a separate Internet project or a beautiful dashboard.

STUDY PROCESS

120 ECTS

  • First year of study

  • Second year of study

  • Internships

  • Preparation and defense of the final graduation thesis

DISCIPLINES

  • Studying the main classes of big data representation and processing problems
  • Studying methods and technologies of big data preparation, storage, processing and analysis
  • Mastering methods of analytical processing of large amounts of data in information systems
  • Acquiring skills in using big data technologies and tools to solve practical problems
  • Studying data types, data sources and methods of their assessment
  • Mastering the methodology of working with data and statistics using open data as an example
  • Studying the characteristics of data storage: databases and working with them
  • Mastering the terminology in project management
  • Studying the main stages of project implementation
  • Forming teamwork skills and the order of interaction during joint activities
  • Studying approaches and standards for working with humanitarian data in a digital form
  • Mastering technologies and tools that allow you to independently carry out digital research
  • Developing interest in digital methods used in modern humanitarian research: large databases, data mining, content analysis, corpus methods, culturomics, stylometry, network analysis, geoinformation analysis, virtual three-dimensional modelling
  • Studying modern practices and international standards for digital preservation of cultural heritage
  • Working with various multimedia information sources, scientific literature, mastering the skills of effective information search in large full-text, abstract, specialized databases, linguistic corpora, including the use of special query operators related to syntactic, semantic, pragmatic and metatext markup
  • Studying the basic principles and methods of digital marketing
  • Mastering tools and technologies used in digital marketing
  • Developing skills in data analysis and data-driven decision-making
  • Studying to work with social media and other communication channels
  • Developing an understanding of the importance of marketing research and analytics
  • Developing skills in planning and managing marketing campaigns
  • Studying the basic concepts of algorithms: data structure, algorithm
  • Studying sorting and searching algorithms
  • Mastering working with various data storage structures
  • Mastering methods for identifying the driving media economic forces and forecasting their development characteristics
  • Determining the processes of media functioning in the media space, their concentration and financial management in media business modelling
  • Mastering the methods of media measurement, managing media planning processes and forming media marketing models of effective mass media
  • Creating and managing a balanced business portfolio of a media company
  • Acquiring knowledge in designing organizational structures of media and mechanisms of media functioning
  • Mastering tools of strategic organizational diagnosis and their application in managing a media holding portfolio
  • Studying the methods and characteristics of content rights management in various environments
  • Mastering the main budgeting and financial analysis methods used in media companies
  • Forming a set of knowledge about the current state, characteristics of formation and functioning
  • Forming a set of professional skills in speech practice for creating media texts
  • Training highly professional research staff capable of studying modern media texts, as well as journalists capable of successfully implementing effective speech practice in the media through the creation of high-quality media texts
  • Forming a clear idea in students that advertising is an area of culture and actively works in the field of journalism
  • Understanding that advertising in practice has cultural and educational mission
  • Studying the prerequisites for the emergence of advertising, as well as the culture-forming images of specialists in this field
  • Studying Russian mass media through a historical excursion
  • Studying the functional characteristics of traditional and electronic media
  • Tracing the transformation of the media
  • Studying the possibilities of radio journalism in the 21st century
  • Assessing the importance of video and photography in journalism
  • Tracing the relationship between journalism and web design
  • Mastering the basic tools of media measurement
  • Learning to use media measurement in the media development tasks
  • Learning to use the results of media measurement for corporate purposes
  • Mastering media measurement as a tool for measuring the effectiveness of communication management
  • Learning to use the results of media measurement as an array of data for analysis and processing
  • Familiarizing students with the state of development of ethical foundations of communication in modern digital environments in the context of legal regulation and processes of self-organization of digital communities, current problems of the new communication environment in an ethical context
  • Learning to identify and analyze news information flows related to the subject of the discipline
  • Learning to critically generalize and classify this information in accordance with the issues considered within the course
  • Analyzing the obtained data from the perspective of ethical discourse, and creating original media texts within the framework of the studied issues
  • Teaching students to see stories in data
  • Teaching students to work on existing data sets or to engage in parsing (collecting), cleaning and analyzing data on their own, even without programming skills
  • Learning how to collect stories based on the findings, and to organize the process of creating such stories within a team
  • Mastering English for successful professional communication
  • Mastering of the basic terminology in the field of study
  • Improving skills of work with professional information in a foreign language
  • Developing skills in abstracting and annotating professional texts in a foreign language
  • Mastering the basic principles of English (grammatical, lexical and syntactical structures) in practice
  • Forming skills of independent research with linguistic and speech material in the field of study
  • Learning the basics of the Python language
  • Learning the basics of programming (variables, loops, branching) before building programs using an object-oriented approach
  • Learning algorithms and data structures in Python — sorting calculations and data analysis
  • Learning the basics of HTML/CSS
  • Learning the basics of JavaScript
  • Learning to distinguish the R language from other programming languages
  • Understanding what matrices and lists are
  • Understanding what data frames are
  • Being able to automate complex statistical procedures not yet available in other programs
  • Mastering R vector graphics for data visualization

DISCIPLINES

  • Ability to distinguish between project and process management
  • Knowledge of project management
  • Ability to apply project management to a media product
  • Ability to communicate with the target audience of a media product
  • Ability to evaluate the effectiveness of media product implementation — both in terms of image and through project monetization
  • Study of the history of the emergence and development of the concepts of MRP, MRPII, ERP, ERPII, CSRP
  • Consideration of the structure and mechanisms of functioning of ERP systems
  • Analysis of the main stages of the implementation of automated systems
  • Big data management — as the main result of the work of automated systems
  • Consideration of CRM systems and corporate portals
  • Learning the basics of the Python language
  • Mastering the basics of programming (variables, cycles, branching) before building programs using an object-oriented approach
  • Learning algorithms and data structures in Python — calculations, sorting and data analysis
  • Learning the basics of HTML/CSS
  • Mastering the basic JavaScript courset
  • Mastering English for successful professional communication
  • Mastering the basic terminology in the field of study
  • Improving the skills of working with professional information in a foreign language
  • Developing the skills in abstracting and annotating professionally oriented texts in a foreign language
  • Mastering the basic principles of English (grammatical, lexical and syntactic structures) in practice
  • Forming skills for independent research with language and speech material in the field of study
  • Introduction to visualization and infographics
  • Psychology of visualization
  • Data assessment for choosing a visualization strategy
  • Main types of relationships within data and corresponding types of data visualization
  • Common mistakes of data visualization
  • Data visualization as a data journalism tool
  • Basic design rules for visual analytics
  • Overview of online tools for creating data visualization
  • Cartography as a separate element of visualization
  • Online services for cartographic visualization
  • Overview of services for creating cartographic visualizations
  • Design as a separate block of work
  • Understanding the basics of information security
  • Understanding organizational and legal support for information security
  • Learning to understand software and hardware for protecting computer information
  • Studying the architecture of corporate information networks
  • Studying the methods and means of protecting computer information
  • Understanding how to manage information security

PRACTICAL TRAINING AND INTERNSHIPS

Practical training in the study process

Students start to apply their practical skills already in their first year.

The programme provides for a full-time block (Campus Days), within which students attend different workshops and master classes and take part in business games. Campus Days is a modern training model whose main principles are an intensive format, a large amount of practical training, development of team skills, working with real cases from experts and company representatives and the opportunity to collect a portfolio from your own works.

During this period, students receive various tasks which will be assessed by specialists and counted as completing an internship. Every internship is aimed at consolidating the students’ learning results.

Key Partners:

  • Filipp Kolokolnikov — PhD in Engineering, Senior Researcher, V.P. Ivannikov Institute of Systematic Problems, Russian Academy of Sciences, Associate Professor, Department 703, Moscow Aviation Institute.
  • Aleksey Pomazov — PhD in Philology, Associate Professor, Department of Theoretical and Applied Linguistics, Lobachevsky National Research Nizhny Novgorod State University, General Director, SOTEK integrator company.

Practical training and internship venues

Site — RUDN University.

RESEARCH

Research competencies are developed through student participation in research projects. Working in interdisciplinary groups, students gain experience, skills and collect interesting material for their research internship or preparation of their master’s thesis.

PROGRAM SUPERVISOR

Viktor Barabash

Doctor habil. in Philology, Professor, Dean, Philological Faculty, Head of the Department of Mass Communication. Honorary Worker of Higher Education. Honorary Professor of Henan University (PRC).Member of the Union of Journalists of Moscow.

Phone: +7 (495) 787-38-03 доп. 1569
E-mail: barabash-vv@rudn.ru

Teachers

Discipline Leader
Sergey Vodopetov
PhD in Political Sciences, Associate Professor, Department of Mass Communication
Teacher
Elena Burdovskaya
PhD in Cultural Studies, Associate Professor, Department of Mass Communication
Teacher
Natalia Poplavskaya
PhD in Philology, Deputy Dean for International Activities, Faculty of Philology, Associate Professor, Department of Mass Communication
Teacher
Galina Trofimova
Doctor habil. in Philology, Professor, Department of Mass Communication
Teacher
Ekaterina Tutova
PhD in Philology, Associate Professor, Department of Foreign Languages
Teacher
Roman A. Savastenko
PhD in Philology, Deputy Dean for Part-time and Correspondence Departments, Faculty of Philology

CAREER AND EMPLOYMENT OPPORTUNITIES

Upon completion of the programme, graduates will be able to develop their knowledge in the following professions:

  • Infographics designer (mass media)
  • Business analyst (industrial and commercial companies)
  • Specialist in working with personnel trajectories (industrial and commercial companies)
  • Manager / head / editor-in-chief of their own media project
  • Manager for working with media data in the digital transformation office (industrial and commercial companies), etc.

At present, a data journalist is in demand in the modern media space. Their skills will be useful in such areas as:

Science and education
RUDN University cooperates with the largest centres of excellence in the field of artificial intelligence (RAS Institute for System Programming, Skolkovo), the International Network Institute (Sodruzhestvo platform), and also participates in the University 2035 programme.
Mass media
RUDN University graduates can work in print and online media, industry media, as well as on television and radio. Potential employers: Kommersant, Vedomosti, Perviy (First Channel), VGTRK (Russian Television and Radio Broadcasting Company), RBC, RIA Novosti, TASS, RIAMO.
Government agencies
Having acquired skills in working with data, designing and forecasting, data visualization, a student can work in specialized departments of government organizations.
Media meters
Having mastered the methods of media analysis, students will be able to apply for jobs as analysts in companies involved in media and audience measurements: JSC Mediascope, OOO Medialogiya, OOO I-Teco (BrandAnalytics).
Industry public organizations
Russian Association of Communication Agencies (RACA), Russian Association for Public Communications, Association of Directors of Communications and Corporate Media of Russia.
Companies working in the field of creation, management and distribution of digital content
Social networks, large digital companies, large industrial companies working with data: VK; Yandex; IVI, Kinopoisk, Premier online platforms.

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Entrance examination is in the form of a portfolio competition