• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Business-Analytics

Business analyst, data analyst, data-scientist - now demanded and competitive professions in business. This track will allow students to acquire techniques and skills for employment in business companies and corporations. We will learn to work with modern methods of data analysis, ways of machine learning, develop programming skills in different languages. 

Students will learn how 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: R, Python, SAS, STATA, Orange, Lisrel, MPlus, Pajek, Gephi, Visone, Vertica, SQL, LaTex, and others. 

Also, students will be able to take an active part in real projects with which our Master's program cooperates, undergo an internship, and may obtain a full-time job.

Curators

Elena Beylina

Master of Applied Mathematics and Informatics

Valentina Kuskova

PhD: Indiana University

Curriculum

Graduates

Elena Beylina

Operational Analysis and Reporting Development Specialist in Japan Tobacco International

Dmitry Donetskov

Data Scientist in Yandex

Dina Yakovleva

Senior Content Analyst in Thomson Reuters

Ekaterina Melianova

Data Scientist in World Bank

Kirill Ivanov

Leading analyst at the rating agency "RAESK-Analytics"

Lada Litvinova

Data Scientist at VimpelCom

Victoria Godunova

Analyst in Avito

Alexander Alimov

Analytical consultant: PricewaterhouseCoopers, PwC

Alumni reviews

Alexander Alimov