Saint Petersburg University
Master in Business Analytics and Big Data — MiBA
Saint Petersburg, Russia
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
RUB 533,600 / per year
STUDY FORMAT
On-Campus
* For applications for government-funded places
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Introduction
- Level of education: Master program
- Type of instruction: Full-time
- Duration: 2 years
- Language of instruction: English
Benefits of the program
- Academic staff with teaching experience in leading international business schools, including guest lecturers from top-ranking international business schools and expert practitioners.
- The 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 program is taught in English in a cross-cultural environment enhancing the employability of graduates in the international job market.
Curriculum
Main courses
- Statistical Data Analysis in Python
- Machine learning
- Processing of natural language and images
- Introduction to Sectoral Analysis
- Marketing analytics
- Project Management
- Contemporary strategic analysis
- Managerial Economics
- Design thinking
- Knowledge Management
- Enterprise architecture
- Digital business
- Data Mining and Visualisation
- Technology Entrepreneurship
- Marketing of Innovative Products
Gallery
Program Outcome
Key skills
Theoretical and practical knowledge and skills sufficient for performing the following tasks:
- Determining the direction and strategies of business development
- Risk identification and minimization
- Business efficiency improvement and business processes optimization
- Customer segmentation and consumption analysis
- Increasing the value of the company’s products for customers
- Development of new products and services.
Career Opportunities
Practical training and career opportunities
Graduates are well-placed to secure positions in business analytics and the management of cross-functional teams. They can apply quantitative data analysis to provide effective solutions to a range of tasks, for example:
- Development of business strategy;
- Identification and minimization of risks;
- Enhancement of business efficiency and business processes optimization;
- Customer segmentation and market analysis;
- Enhancement of product value for customers;
- New product and service creation