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#MESSAGES FROM THE MASTERS SCIENTIC HOW TO#

Students of the programme learn to use modern approaches and methods of data science (Data Science), research and in-depth data analysis (Data Mining & Deep Learning), machine learning (Machine Learning), neural networks and Bayesian statistics, work with big data (Big Data), and work with different packages and databases for data analysis and visualization, construction of reports: R, Python, SAS, STATA, Orange, Lisrel, MPlus, Pajek, Gephi, Visone, Vertica, SQL, LaTex, etc. programmes at prestigious universities in Europe and the United States).

Computational Social Science (focused on preparing students for entry into leading Ph.D.

Within the programme, students can choose one of two trajectories: This helps students who do not have a major in mathematics or statistics. Upon completion of some courses, SAS certificates get issued.īefore the start of the course, there is a test, based on which masters are helped to design an individual plan and choose the courses they consider necessary in the future find a balance between the main blocks: business analytics, computational social science, network science and network analysis methods.Īdaptation courses in introduction to statistics and programming in R and Python are implemented at the beginning of the course.

in the second year, students complete an internship.

evening classes that enable students to combine work and study.

full-time classes that will enable ongoing contact and feedback from instructors.

individualized learning plans that allow students to create their learning trajectory.

regular consultations from scientific supervisors at the International laboratory for Applied Network Research.

This helps students understand how the method works and on what data it can be used

using real data as examples during the course.

dual degree programmes with the University of Ljubljana.

the possibility of foreign internships.

choice of the track: business, science, or universal.

This programme is unparalleled in Russia and has the following advantages:

#MESSAGES FROM THE MASTERS SCIENTIC HOW TO#

The programme is training based on real data and tasks. The teachers do not focus on the tools but teach them how to work with the available data and select the appropriate analysis methods for their processing. They can also participate in the Statistical Consulting Center's commercial projects, created by the Laboratory researchers and the programme professors. Students can engage in academic research at the HSE International Laboratory for Applied Network Analysis. The educational process is not limited to, learning theories and methods of data analysis. The program's primary goal is to teach students to use advanced statistical and network analysis methods regardless of the initial education to solve both research and practical problems.

Computational Social Science (focused on preparing students to enter leading Ph.D.

Business Analytics (focused on preparing students for employment in business companies and corporations),.

Unlike traditional statistics or data science programmes, students are allowed to create their learning trajectory by choosing one of the tracks: The programme is fully English-taught, and international instructors teach the courses from Indiana University (USA), University of Ljubljana (Slovenia), Graz Technical University (Austria), Central European University (Hungary and Austria).

In other words, the programme trains highly qualified data analysts for international and Russian businesses, analytical centers, and universities in Russia, the USA, and Europe. The programme trains highly qualified specialists (Data Scientists) in applied statistics and network analysis, becoming more and more in demand in business sphere, public sector, and science both in Russia and abroad.

The programme was founded by Indiana University professors Stanley Wasserman and Valentina Kuskova. It is based on the best practices of educational programmes in applied analytics universities as Indiana University and the University of Illinois in the USA. The master's programme "Applied Statistics with Network Analysis" of HSE University is based on the International laboratory for Applied Network Research ( ANR-Lab).