Аналитика данных и прикладная статистика / Data Analytics and Social Statistics: программа магистратуры

Обучение полностью перенесено в цифровую среду, что позволяет осваивать передовые методы работы с данными без привязки к месту жительства. В основе подготовки лежит глубокое погружение в современные алгоритмы машинного обучения, вероятностное моделирование и строгие статистические выводы, необходимые для работы с сетевыми структурами, веб-скрейпингом, временными рядами и неструктурированными данными.

Значительная часть профессионального цикла реализуется на иностранном языке через исследовательские и проектные семинары, а также практикумы по программированию, что обеспечивает выпускнику конкурентное преимущество на международном рынке труда и в научной деятельности.

Профессиональные дисциплины:

• Research Seminar "Computational Social and Network Sciences" (offered in a foreign language)
• Mentor's Seminar (offered in a foreign language)
• Working with Network Data (offered in a foreign language)
• Project Seminar (offered in a foreign language)
• Term Paper (offered in a foreign language)
• Work Experience Internship (offered in a foreign language)
• Project Activity (offered in a foreign language)
• Final Thesis Preparation (offered in a foreign language)
• Programming in R and Python (offered in a foreign language)
• Contemporary Data Analysis: Methodology and Methods of Interdisciplinary Research (offered in a foreign language)
• Data Mining (offered in a foreign language)
• Methodology and Logic of Sociological Research Design (offered in a foreign language)
• Introduction to Network Analysis (offered in a foreign language)
• Applied Linear Models (offered in a foreign language)
• Contemporary Decision Sciences: an Integrated Perspective (offered in a foreign language)
• Probability Theory (offered in a foreign language)
• Introduction to Statistics (offered in a foreign language)
• Methods of Statistical Consulting (offered in a foreign language)
• Structural Equation Modeling (offered in a foreign language)
• Data Collection from Web-scraping and API for Social Scientific Research (offered in a foreign language)
• Machine Learning (offered in a foreign language)
• Categorical Data Analysis (offered in a foreign language)
• Multidimensional Data Analysis (offered in a foreign language)
• Advanced Methods of Network Analysis in Pajek (offered in a foreign language)
• Time Series Analysis (offered in a foreign language)
• Bayesian Data Analysis (offered in a foreign language)
• Stochastic Models (offered in a foreign language)
• Network Analysis: Statistical Approaches (offered in a foreign language)
• Multilevel Models (offered in a foreign language)
• Unstructured Data Analysis (offered in a foreign language)
• Final Qualification Paper (offered in a foreign language)
• Applied Statistics and Data Science (Applied track
• Applied Statistics and Data Science (offered in a foreign language)
• Working with Network Data (offered in a foreign language)
• Work Experience Internship (offered in a foreign language)
• Project Activity (offered in a foreign language)
• Programming in R and Python (offered in a foreign language)
• Contemporary Data Analysis: Methodology and Methods of Interdisciplinary Research (offered in a foreign language)
• Data Mining (offered in a foreign language)
• Methodology and Logic of Sociological Research Design (offered in a foreign language)
• Introduction to Network Analysis (offered in a foreign language)
• Applied Linear Models (offered in a foreign language)
• Contemporary Decision Sciences: an Integrated Perspective (offered in a foreign language)
• Probability Theory (offered in a foreign language)
• Introduction to Statistics (offered in a foreign language)
• Methods of Statistical Consulting (offered in a foreign language)
• Structural Equation Modeling (offered in a foreign language)
• Data Collection from Web-scraping and API for Social Scientific Research (offered in a foreign language)
• Machine Learning (offered in a foreign language)
• Categorical Data Analysis (offered in a foreign language)
• Multidimensional Data Analysis (offered in a foreign language)
• Advanced Methods of Network Analysis in Pajek (offered in a foreign language)
• Time Series Analysis (offered in a foreign language)
• Bayesian Data Analysis (offered in a foreign language)
• Stochastic Models (offered in a foreign language)
• Network Analysis: Statistical Approaches (offered in a foreign language).