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.

Doctorate in Mathematics and Statistics

Feb 23
2 min read

This doctorate study program is an advanced, 100% research-based academic pathway designed for scholars, researchers, and senior professionals seeking to generate original contributions in mathematical sciences and statistical theory. Positioned at a study level equal to EQF Level 8 and aligned with the third European cycle, the program emphasizes independent research, theoretical innovation, and advanced quantitative analysis applied to complex scientific, technological, and socio-economic challenges.

With a minimum duration of 18+ months, the program provides structured flexibility, allowing candidates to extend their study period in accordance with the scope, depth, and impact of their research work.

The academic structure consists of seven modules, carefully designed to ensure methodological excellence and disciplinary specialization:

Four research-focused modules dedicated to advanced research design, rigorous quantitative methodologies, mathematical proof development, statistical inference, stochastic modeling, computational techniques, academic publishing standards, and scholarly dissemination.
Two general modules addressing interdisciplinary research perspectives, ethics in scientific inquiry, innovation frameworks, and global research trends in quantitative sciences.
One specialized module in Mathematics and Statistics, exploring advanced topics such as abstract algebra, real and functional analysis, probability theory, multivariate statistics, econometrics, data science modeling, operations research, and computational mathematics.

The program culminates in a substantial doctoral-level research thesis and structured research activities, enabling candidates to contribute original theoretical or applied advancements in areas such as artificial intelligence modeling, financial mathematics, statistical learning, risk analysis, scientific computing, optimization theory, and high-dimensional data analytics.

This doctorate study program is particularly suited for academic researchers, quantitative scientists, statisticians, mathematicians, data science leaders, and professionals in finance, engineering, or technology sectors who seek to influence research, innovation, and advanced analytical practice at national and international levels. Graduates are expected to demonstrate exceptional analytical rigor, scholarly independence, methodological mastery, and the capacity to advance quantitative knowledge through impactful research.