11 Pokrovskiy Boulevard, Building S; Moscow, Russia
Deadline is November 16
We prepare highly qualified data analysts (Data Scientists) for international and Russian business, think tanks, and universities in Russia, the USA, and Europe.
The Master's Program in Applied Data Analysis at the National Research University Higher School of Economics was created by analogy with the program in Applied Statistics at Indiana University (USA). The founders of the program are Professors Stanley Wasserman and Valentina Kuskova from Indiana University.
We teach the program in English, and the courses are read by foreign teachers: from Northwestern University (USA), University of Ljubljana (Slovenia), Technical University of Graz (Austria), Central European University (Hungary and Austria).
The Master's program will help all those interested in applied data analysis - both mathematicians and those involved in social, human, and natural sciences.
The program's primary goal is to teach students to use advanced statistical and network analysis methods, regardless of their initial education, to solve both research and practical problems.
The educational process is not limited to the theories and methods of data analysis. Academic Research at the HSE International Laboratory for Applied Network Analysis is also pursuable by students. Commercial projects can be participated by them at the Analytical Decision Support Center established by the Laboratory's researchers and program faculty.
The program cooperates with the Analytical Center of the Russian Government, Kurchatov Institute, Deloitte, SAS, Volkswagen Group Rus, Rosatom, and RusHydro corporations.
We designed the Master's program for those who want to make data analysis an integral part of their work and receive systematic education in applied statistics. It will be useful for people who have just graduated from the bachelor's degree program, as well as specialists from government and business structures, research, and analytical centers.
The program's primary goal is to teach students how to integrate data analysis into the research cycle, from the formulation of a research question to interpreting results. It will be useful for sociologists, economists, mathematicians, chemists, biologists, political scientists, lawyers, managers, statisticians, and all those for whom data analysis is part of the job.
The program is training based on real data and tasks. Teachers do not focus on tools but teach how to work with existing data and select appropriate analysis methods.
This program has no analogs in Russia and has the following advantages:
- Teaching in English
- The possibility of foreign internships
- Double degree programs with the University of Ljubljana
- Mostly foreign teachers: from Northwestern University (USA), University of Ljubljana (Slovenia), Technical University of Graz (Austria), Central European University (Austria, Hungary), and others.
- Full-time form of education, which allows for constant contact with the lecturers and receiving feedback;
- Regular consultations from scientific managers of the International Laboratory for Applied Network Analysis.
- Individualized curricula that allow students to create their learning trajectory
- Evening classes that will enable you to combine work and study.
- In the second year of study, students undergo practical training
- Using real data as examples during training. These examples help students understand on what data they can use the method and how.
SAS certificates follow some courses.
The Master's Program has no analogs in Russia and was created by analogy with the Indiana University's Master's Program in Applied Statistics, developed by Stanley Wasserman.
There are several similar programs at European universities, particularly at Ljubljana University and Northwestern University, which are affiliated partners of our program.
Compared to similar programs on applied statistics in Europe and the USA, our Master's degree is much cheaper.
Freshman year adaptation courses in Mathematics, Mathematical English, and Introduction to R and Python are implemented. This implementation helps students who do not have a math or statistical background.
Before the start of the course, there is a test, based on which masters are helped to design an individual plan and choose courses that they consider necessary in the future; to find a balance between the main blocks: mathematics, programming, methods of network analysis and statistical analysis of data.
Students of the program 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 large data (Big Data); and work with different packages and databases for data analysis: R, Python, SAS, STATA, Orange, Lisrel, MPlus, Pajek, Gephi, Visone, Vertica, SQL, LaTex, etc.
Students are involved in real-world projects and can choose an internship place either independently or with the help of Master's program managers.
Graduates of applied statistics can work as consultants in state and corporate analytical centers, do research in international companies, continue their education in postgraduate studies in Moscow, or enter a Ph.D. abroad.
HSE cooperates with the Analytical Center of the Russian Government and many companies such as Delloitte. HSE alumni are interviewed by partner companies to help them find jobs.
To get an education in this program, you need to pass a competitive selection of portfolios. Entrants must provide a bachelor's or master's degree, resume, motivation, and recommendation letters. Certificates, diplomas, and any other documents showing the applicant's level of knowledge or achievements are also accepted.
For admission, it is sufficient to know the school mathematics course and understand English. Certificates proving knowledge of English and mathematics are not required.