Study Fee: Click here to view the t(/study-fee)uition and subscription options.(/study-fee)(/study-fee) Monthly study plans start from €499 per month, depending on the program and level of academic support selected.

Study Method: This program is delivered 100% online, allowing students to study from anywhere in the world with flexible scheduling. Students may also have the option to attend the graduation ceremony in Switzerland, subject to visa approval and travel regulations.

Study Language: The program is delivered in English. Students are expected to have sufficient English language proficiency to complete the coursework and academic requirements.

Applications can be submitted online through our admission portal.(/apply)(/apply) Applicants may also contact or visit our offices in different regions, including: • Europe: Switzerland • GCC: Dubai (UAE) • Asia: Bishkek Our admissions team will guide you through the application and enrollment process.

Programs are offered through a flexible monthly subscription system, allowing students to progress at their own pace while maintaining access to academic resources and support services.

This program has a minimum study period depending on the academic level and program structure. Students may complete the program at their own pace while maintaining an active monthly subscription.

Admission Requirements

Applicants should meet the academic entry requirements for the respective program level. Typical requirements may include: • A previous academic qualification relevant to the program level • A copy of passport or national ID • Curriculum Vitae (CV) or resume • Completed online application form Additional documents may be requested depending on the program and the institution delivering the program.

Certification / Degree Awarded

Upon successful completion of all academic requirements, students will receive the corresponding certificate or academic degree issued by the responsible institution within the VBNN Smart Education Group network.

Master in Mathematics and Statistics

Feb 23
2 min read

This Master study program is an advanced, 100% research-based academic pathway designed for graduates and professionals seeking to deepen their expertise in mathematical theory, statistical modeling, and quantitative analysis. Positioned at a study level equal to EQF Level 7 and aligned with the second European cycle, the program emphasizes analytical rigor, methodological precision, and independent research competence.

With a total workload equal to 60 ECTS, the program can be completed within a minimum duration of 12+ months, while offering flexibility for participants who wish to extend their study period according to their research scope and professional commitments.

The academic structure consists of five modules, carefully designed to balance theory, methodology, and specialization:

Two research-focused modules dedicated to advanced research design, quantitative and qualitative methods, statistical inference, mathematical modeling, academic writing, and critical evaluation of scientific literature.
Two general modules strengthening interdisciplinary perspectives, ethics in research, and the application of quantitative reasoning in global and professional contexts.
One specialized module in Mathematics and Statistics, focusing on areas such as advanced calculus, linear algebra, probability theory, stochastic processes, statistical modeling, data analysis, and applied quantitative techniques.

The program culminates in a substantial research thesis and structured research activities, enabling participants to contribute original analytical insights to fields such as data science, financial mathematics, econometrics, actuarial science, artificial intelligence modeling, operations research, and scientific computing.

This Master study program is particularly suitable for mathematicians, statisticians, data analysts, engineers, financial analysts, researchers, and professionals seeking to strengthen their quantitative and analytical decision-making skills. Graduates are expected to demonstrate advanced problem-solving capabilities, independent research competence, and the ability to apply mathematical and statistical frameworks to complex real-world challenges.