See Masters Programs in Business Analytics 2019 in St. Petersburg in Russia
A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.
Business analytics studies cover the technologies and skills utilized in the investigation and analysis of the past performances of businesses with the goal of gaining the proper insight to successfully drive business planning. It involves making business decisions based on statistics and data.
St. Petersburg city is located along the Neva River. It has a population of over 5 million residents. The city has 716 public schools and 80 vocational schools.
Request Information Master's Degrees in Business Analytics in St. Petersburg in Russia 2019
The programme aims to develop fundamental knowledge in management and up-to-date analytical tools used to inform managerial decisions. Graduates will be equipped with the
Masters in Business Analytics in St. Petersburg in Russia. Level of education: Master programme
Type of instruction: Full-time
Duration: 2 years
Language of instruction: English
Benefits of the programme
The programme aims to develop fundamental knowledge in management and up-to-date analytical tools used to inform managerial decisions. Graduates will be equipped with the knowledge of big data analytics tools and ability to use them to solve managerial tasks.
Academic staff with teaching experience in leading international business schools, including guest lecturers from top-ranking international business schools and seasoned practitioners from leading data-intensive companies.
Master thesis is a full-cycle big data research project. It is a case study of an existing private or state-owned company. This unique combination of theory and practical interdisciplinary project work will bring future graduates a broad spectrum of competencies to meet their professional goals.
The programme is taught in English in a cross-cultural environment enhancing the employability of graduates in the international job market.
Statistical Data Analysis in Python
Processing of natural language and images
Introduction to Sectoral Analysis
Contemporary strategic analysis
Data Mining and Visualisation
Marketing of Innovative Products
Development of business strategy;
Identification and minimization of risks;
Business efficiency increase and business processes optimization;
Customer segmentation and market analysis;
Product value increase for customers;
New product and service creation.