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Saint Petersburg Business Analytics & Big Data Overview





Work Experience

RUB 767K

Avg. Cost of Study


Months Duration 


Avg. Salary


Introduction to Saint Petersburg Business Analytics & Big Data

The programme is designed to train managers in Big Data analysis with a strong technological background.

This programme is primarily aimed at STEM applicants or at those with some experience in analytics / IT who want to expand their knowledge of data analysis and management tools in order to build a management career in data management, including in international markets. 

Acquired competencies:

  • applying Big Data processing and analysis tools
  • evaluating the value of analytical results from a business perspective
  • making management decisions based on data
  • managing IT projects

Why Study Saint Petersburg Business Analytics & Big Data ?


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There are numerous benefits to earning a Business Analytics & Big Data from Saint Petersburg. Here are a handful of the strongest arguments:

  • The programme is aimed at developing fundamental knowledge in the field of management as well as modern analytical tools used to solve managerial problems. Alumni will possess practical skills and methods for processing big data and applying analytical tools in solving managerial tasks. We teach our students like future managers in advanced analytics, rather than programmers or pure data scientists. 
  • Technology platform. Using a cloud-based platform to dive into the specifics of modern big data analytics solutions allows students to explore the modern stack of Big Data / ML / AI solutions technologies. The computing resources of the platform are also involved in the implementation of the graduation project and other tasks on the industrial data of partner companies.
  • The programme provides technology courses on the development and implementation of machine learning models, courses on working with big data and their visualization. For more efficient entry into the learning process, the program provides introductory courses «Development Essentials» and «Management Essentials».
  • All courses of the programme are implemented with the participation of employees of the leading Russian and international companies. For example, the number of MiBA professors include the heads of Data Science and Data Governance projects of “Yandex”, “Odnoklassniki”, “JetBrains”, and “VTB”. In addition, guest lectures are a traditional practice in the process of studying on the programme.
  • For the successful completion of the program as part of the Master programme’s graduation project, it is supposed to implement a full-cycle project in the field of big data analysis using the example of a real company or a state corporation. This is a unique element of the program, thanks to which the alumnus or alumna, after completing his or her studies, will have not only theoretical knowledge, but also practical skills in the implementation of interdisciplinary projects.
  • The programme is implemented in English in a cross-cultural environment, which helps to enhance the competitiveness of alumni in the international job market.

Program Costs + Living Expenses : Saint Petersburg Business Analytics & Big Data

RUB 533,600 

Avg. Cost of Tuition


RUB 234,000

Avg. Living Cost

RUB 767,600

Avg. Cost of Study

The following is a breakdown of the program costs and living expenses for the Master in Business Analytics and Big Data (MiBA) program at Saint Petersburg University:

  • Accommodation: RUB 15,000-25,000 per month (approximately USD 200-330 per month)
  • Food: RUB 10,000-15,000 per month (approximately USD 130-200 per month)
  • Transportation: RUB 2,000-3,000 per month (approximately USD 27-40 per month)
  • Utilities: RUB 1,000-2,000 per month
  • Other expenses (entertainment, clothing, personal care, etc.): RUB 5,000-10,000 per month

Total:  RUB 234,000 per year

Employement Prospects : Saint Petersburg Business Analytics & Big Data

    Most Sought-after Jobs

  • Project / Product Manager in Big Data, Advanced Analytics, and Data Science
  • Business Consultant
  • Business Analyst
  • Chief Data Officer
  • Chief Innovation Officer
  • Chief Product Officer

Alumni are well-placed for positions in business analytics and cross-functional team management.

They can apply quantitative data analysis to provide effective solutions to a range of tasks, such as:

  • Business strategy development
  • 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

Eligibility Criteria for Saint Petersburg Business Analytics & Big Data

To be eligible for the Saint Petersburg Business Analytics & Big Data program, applicants must meet the following criteria:

  • Academic background: A bachelor’s degree in a quantitative field, such as mathematics, statistics, computer science, engineering, or economics.
  • English language proficiency: A valid TOEFL score of 80 or higher, or an IELTS score of 6.5 or higher.
  • Work experience: At least two years of work experience in a quantitative or analytical role.
  • Quantitative skills: Strong quantitative and analytical skills.
  • Motivation: A strong motivation to pursue a career in business analytics and big data.

Documents required :Saint Petersburg Business Analytics & Big Data

  • Consent of the Candidate to Personal Data Processing, Transmission and Storage

  • An application form for admission within the quota (filled in block letters and provided with a colour photo)

  • A copy of your identity document (Please note that the applicant’s passport should be valid for at least 18 months after the beginning of the planned study period)

  • A medical certificate confirming the absence of medical contraindications against studying in the Russian Federation as well as the absence of all types of hepatitis and tuberculosis

  • A medical certificate on the absence of the HIV and AIDS

  • Certificates confirming the undertaking of medical examinations (for specialist’s degree programmes “General Medicine” and “Dental Medicine” and bachelor’s degree program 34.03.01 “Nursing”)

  • An educational credential and supplements prepared according to the rules

  • A photo (3×4 cm)

  • Documents for the portfolio competition

Application Deadlines - Saint Petersburg Business Analytics & Big Data

  • Apply before International

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Main Courses Offered

Here are the main courses you will study during this course:

  • Data Governance
  • Statistical Programming in Python
  • Industry Business Analytics
  • Machine Learning and Big Data Analysis
  • Contemporary Strategic Analysis
  • Deep Learning for Business Applications
  • IT Projects Management
  • Data-driven Decision Making for Product Managers
  • Introductory to Big Data Modern Technologies
  • Enterprise Architecture and Business Models: based on Data Analysis
  • Performance Management
  • Visual Anaytical Mindset
  • Digital Transformation and Innovative Entrepreneurship
  • Design Thinking
  • Financial Technologies
  • Marketing Analytics
  • Tech Startup Design

FAQs About Business Analytics & Big Data

Business analytics and big data are closely related. Big data provides the raw materials for business analytics. By analyzing big data, businesses can gain insights that can help them improve their operations and performance.

While not always required, having programming skills (e.g., Python or R) can be advantageous.

No, they only provide on campus study for this course.

  • The programme is internationally accredited by the European Quality Improvement System (EQUIS) as part of the institutional accreditation of the Graduate School of Management, the Certificate dated 16 November 2021
  • The programme is internationally accredited by the Association to Advance Collegiate Schools of Business (AACSB) as part of the institutional accreditation of the Graduate School of Management, the Certificate dated 17 December 2021

Double degree programme is temporarily suspended.

Students of the programme can take part in a double degree programme with Lappeenranta-Lahti University of Technology (Finland).

Lappeenranta-Lahti University of Technology (LUT) specialises in information technology and management. It successfully combines these areas of expertise in its academic and research activities.

Application Process & timeline

We strongly advise all our clients to have a proper excel sheet or a timetables mapped out.
Once you are done with GMAT the entire application process usually take 4-6 weeks

Step 1

GMAT / GRE Score

2-3 months.

If you are not sure about what score to target then look at the average score of the schools you want and shoot above the average. 

Step 2

Profile Evaluation

 1-2 weeks.

Get your profile evaluated from a professional consultant and figure out what schools you can target based on your profile

Step 3

Application Prep

3-4 weeks at least. 

Start writing at least 1 month in advance of their 1st deadline. First application usually takes the longest.

Step 4

Interview Prep

1 week

School will notify you and give you roughly 1 week to schedule your interview. Ideally, start your prep ASAP and Do some mock interviews.

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