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 Data Science

Feb 20
2 min read

This doctorate study program is an advanced, research-intensive academic pathway designed for scholars, senior professionals, and innovators who aim to contribute original knowledge to the evolving field of data science. Positioned at a study level equal to EQF Level 8 and aligned with the Third European Cycle, the program emphasizes independent research, scientific rigor, and high-level analytical expertise.

Structured as a 100% research-based program, it is built to cultivate advanced competencies in data-driven theory, computational modeling, and applied analytics. The academic framework consists of seven modules, including four research-focused modules, two general academic modules, and one specialized module in Data Science, followed by comprehensive thesis and research activities. This structure ensures a strong foundation in advanced research design, quantitative and qualitative methodologies, critical evaluation, and innovation in complex data environments.

Participants engage with cutting-edge themes such as advanced machine learning architectures, big data ecosystems, artificial intelligence systems, predictive and prescriptive analytics, statistical modeling, data governance, and ethical dimensions of algorithmic decision-making. The program prepares researchers to design transformative solutions, develop new analytical frameworks, and influence strategic decision-making across sectors including finance, healthcare, smart cities, cybersecurity, digital business, and public policy.

With a minimum duration of 18+ months, the program offers academic flexibility, allowing candidates to extend their research period according to their professional and scholarly commitments. The emphasis is placed on producing substantial, original research that contributes meaningfully to the global data science community.

This doctorate study program is ideal for those seeking to operate at the highest academic and professional levels, lead research initiatives, and shape the future of intelligent systems and data-driven innovation.