The knowledge economy and digital business transformation set new efficiency benchmarks for companies in all industries. Competitiveness depends not so much on the access to material or financial resources, as on the ability to make management decisions based on the analysis of big data obtained from the digital environment. This entails an increase in demand for specialists in business analytics and managers of cross-functional teams that are capable of quantitative data analysis to offer effective solutions for the business. Our master's program, Master in Business Analytics and Big Data – MiBA, was introduced in 2018 as a program to prepare such specialists. We teach our students like future managers in advanced analytics, rather than programmers or pure data scientists.
The Program was updated in 2020 to meet demands of the emerging big data analytics market and to better match employer companies’ competencies. The updated Program started in September, 2021. It focuses on technology disciplines that are crucial for the future managers in the area of big data and advanced analytics.
All courses of the program are developed together with the leading Russian and international companies. These courses have up-to-date knowledge and skills and are ready to share their experience with students. For example, you can find the heads of Data Science, Data Governance of Yandex, Odnoklassniki, JetBrains and VTB among MiBA teachers. In addition, guest lectures are a traditional practice on the program.
The MiBA program is focused on training managers with both managerial knowledge and practical skills for the projects in data processing and analysis, project and developing new products. The program includes courses aimed at management skills, such as «Contemporary Strategic Analysis», «Manager Professional Skills», «Marketing of Innovative Products» and «Tech Startup Design».
The program is now enhancing with the courses that cover: the development and implementation of machine learning models, processing big data, data analysis and visualization. There are also two introductory courses «Development Essentials» and «Management Essentials» for easy dive into teaching process for students with different background.
Our cloud-based platform allows students to get access to variety of modern big data analysis technologies. State-of-the-Art stack of Big Data / ML / AI technology solutions will help students in courses like «Development Essentials», «Machine Learning and Big Data Analysis», and «Big Data Modern Technologies». The computing cloud resources of the platform are designed not only for the learning process, but also for the diploma projects and mini-projects that are based on the industrial data of partner companies.
As one of the key advantages of the program we offer the option to take exchange semester in one of the partner’s schools of GSOM St. Petersburg State University. This option is available for the students after the first semester, when they can enter a competitive selection process to choose the foreign business schools they are interested in. The number of partner universities of GSOM SPbU is growing every year and today it is more than 75 schools all over the world. The geography of the partner schools is also extensive and covers almost all time zones and continents. MiBA students have the option to choose courses from partners’ programs, such as BI at the Norwegian Business School and NOVA in Lisbon.
The program is targeted to develop a variety of skills – from the professional business skills to analytical skills. The study is completely in English.
Machine Learning and Big Data
During the course, students will learn how to use machine learning tools for business applications and how to analyze data with modern machine learning methods and interpret the results of modelling. Students will learn tools for big data analysis that are industrial and market standards for now.
IT Project Management
The purpose of this course is to learn the principles of effective project planning and management with key details as needs analysis, task separation, workflow planning, resource allocation, risk management, tasks tracking and performance evaluation. Students will know the key functions of the project manager and will understand the management features of IT projects and Big Data analysis projects as well as management tools to deal with these projects.
End to End Sample Machine Learning Project
This course offers students to develop a prototype of a predictive modelling product from scratch based on a machine learning model. It covers step from setting a business task to deploying a microservice on a cloud platform. Within the whole project, students will have to go through the entire path of a data analyst and Data Science specialist – data collecting, exploratory data analysis, choice of the relevant metric, modeling and testing. Project will be ended with the model’s deployment into a production cloud environment.
Corporate Data Essentials
This course describes data lifecycle in a company from the very beginning to a deep dive in a subject of data governance. The course focuses on the data that appears at different levels of the company's organizational structure, the impact of industry-specific features on the structure of the data and its evolution within company. The course discovers topics from business problems solved by different companies using data to different models of working with data in the company. Students will get acquainted with the main types of data warehouse architectures, gain knowledge in the field of modern solutions to store and process data and the principles to design data models.
Enterprise Architecture and Business Modeling Based on Data Analysis
The enterprise architecture provides a structured approach to strategy implementation, which allows company to transform efficiently. The course includes the analysis and design of the enterprise IT architecture from the point of view of business and technology. Students will learn key benefits and underlying concepts, methodology, and core tools to describe enterprise architecture. The course also covers services to help with integration of business planning and technology.
The program also includes variety of disciplines that the students can chooses themselves. These courses will allow students to gain deep knowledge in the specific areas.
Data-driven Decision Making for the Product Manager
Product managers make their everyday decisions based on data analysis. Each stage of product lifecycle requires such decisions. How to selecting a business model or to create an MVP? How to analyze and estimate product’s success after the launch? The manager should be able to answer that questions based on data or indicators analysis. In this course, students will learn how to formulate and test business hypotheses, how to build metrics for a product, and evaluate the quality of data that is needed to make decisions on a product. This course uses Python as a main programming tool and the most popular Python data-analysis libraries.
Design thinking
During the course, students will know about the methods of creative thinking, improve their existing skills in managing the creative process of innovation. The course develops creative thinking skills, cross-disciplinary collaboration, creative communication and presentations, as well as special management skills.
Behavioral Economics and Decision-Making
Analysis of the consumer behavior can be a great source of the firm's success decisions. Student will present, discuss and apply relevant advanced approaches how to obtain and deal with information about consumers along with concepts and tools of market research during the course.
Data Governance
This course will tell students why companies need data governance in the digital world. Students will learn how to assess the level of maturity of data management processes in a company and what is the business value of implementing data governance.
The course will cover the CDO (Chief Data Officer) function and the basic profiles of a team that is responsible for data governance. The course also covers legal aspects with the examples of Russian and international practices. A separate section deals with technological tools for data governance tasks.
Practical seminars and trainings on the development of «soft» skills help students to expand the horizons and improve skills. The study plan includes training in creating presentations, working in a team, dealing with business correspondence and negotiations, as well as developing communication skills. The program also provides training on working with special software tools and products. All trainings involve experts from Russian and international companies that are corporate partners of GSOM.
Students have the option to learn a second foreign language to gain an additional competitive advantage. One of the following languages – French, German or Spanish – can be chosen as a second foreign language to learn for three semesters (there is an option for foreign students to study Russian as a foreign language).
Consulting project as a Master’s Theses
Students work in teams to deal with industry projects that are provided by corporate partners during the study period. These projects are based on the industrial datasets, so our students have a great option to apply their theoretical knowledge in practice as well as to communicate with experts from the industry.
The same approach is used for a Master’s Theses that are result of a group project of a students’ team. Team includes 2-3 students and works on the task from partner company. Mentors from the company join the team to share their expertise and to provide all the necessary materials and data.
Summer internship
Our Program is practice-oriented so for our students we provide a summer internship in one of the corporate partners of GSOM and this internship is an obligatory part of the Program.
Summer internship helps students to apply their theoretical knowledge and practical skills in a real business world. The internship lasts about 6 weeks and usually takes place in one of the top Russian or international companies.
Overall structure of MiBA program is below.
We offer a team project for our students as a Master's Theses which is an unique opportunity to work on real business data with the engagement of mentors and experts from the industry.
The teaching staff of the School includes experienced lectures from Russian and leading foreign business schools, guest lecturers and experts from the top Russian companies and professional communities.
GSOM has a wide corporate partners network and engages students in the industry projects and activities during the studying process. This creates good career opportunities for students both in Russia and abroad.
Possible career paths for graduates of the Program:
CAREER CENTER
Our Career Center helps students and graduates to find relevant internships and jobs. We are always in touch with our students via corporate mail list to share available vacancies of the corporate partners, to give advises how to prepare and update CVs or to notify about employment events. More information about the Career Center can be found at the link. More information about the Career Center can be found here 
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