The Applied Statistics with Network Analysis Master’s program is for students who wish to develop their statistical knowledge and credentials by obtaining a graduate degree in Applied Statistics, regardless of their primary field of study. Given the focus of the ANR-Lab, an emphasis on network analytic methods will further enhance the program’s offering, since networks recently became a popular source of data in a variety of fields.
The Master of Applied Statistics with Network Analysis is managed by the NRU HSE International Laboratory for Applied Network Research. The Scientific Supervisor of the program is Anuška Ferligoj, Ph.D., Professor at the University of Ljubljana, the Academic Supervisor of the laboratory. The Academic Supervisor of the program is Valentina Kuskova, Ph.D., University of Indiana.
The knowledge and skillset obtained by graduates of the program will render them skilled practitioners, able to apply advanced complex data analysis techniques working in a range of organizations - both in commercial companies operating in various industries (banking, insurance, consulting, IT, medicine, pharmacy) and in research organizations (sociology, marketing).
Relevance and originality of the program
There is a shortage of specialists in applied statistics, especially in the area of ​​social network analysis. Training in the field of statistics is done in different ways: a lot of educational programs in this area belong to the field of economics and mostly focus on mathematical methods; in the field of sociology, the study of statistics is limited to the study of probability theory and introductory courses.
This program is unique because it is the first program in Russia to offer a comprehensive data analysis approach in different areas. As part of the program, students from other disciplines can come together to solve practical analytical problems—those mathematically inclined to understand sociology and the object of research. At the same time, those with a background in the humanities will build their skill set and gain a deeper understanding of statistical processes making up the data analysis that we teach. Also, the program's particular focus will be the analysis of social networks, a direction of data science that is becoming increasingly popular in foreign and Russian research practice.
Another essential characteristic of the program is its applied nature - students do not learn from abstract theoretical constructs but rather from dealing with specific applied research questions. Students will use their knowledge by solving practical problems, working at the International Laboratory for Applied Network Analysis, Russian analytical centers, and commercial companies.