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 Computing and IT and Statistics

Feb 20
2 min read

This doctorate study program is an advanced research-driven academic pathway designed for scholars, quantitative analysts, and technology leaders seeking to generate original contributions at the intersection of computing, information technology, and statistical science. Positioned at a level equivalent to EQF Level 8 and aligned with the Third European Cycle, the program emphasizes scientific rigor, advanced quantitative modeling, and innovation in data-intensive digital environments.

Structured as a 100% research-based program, it develops high-level expertise in statistical theory, computational analytics, algorithm optimization, and data-driven system architecture. The academic framework consists of seven comprehensive modules, including:

Four research-focused modules dedicated to advanced research methodology, statistical inference and modeling, multivariate and high-dimensional data analysis, computational experimentation, and academic publishing in interdisciplinary computing and statistics domains.
Two general modules addressing digital governance, ethics in data science and artificial intelligence, strategic innovation leadership, and research management in technology-driven institutions.
One specialized module in Computing, IT, and Statistics, covering areas such as advanced predictive modeling, machine learning algorithms, big data architectures, statistical programming, quantitative risk analytics, cybersecurity analytics, and high-performance data systems.

The program culminates in an original doctoral-level research thesis and structured research activities, enabling candidates to investigate complex challenges such as AI-driven statistical optimization, intelligent data infrastructures, real-time analytics platforms, financial and actuarial computation models, healthcare data ecosystems, and large-scale simulation environments.

With a minimum duration of 18 months, the program offers flexibility for extension to accommodate professional commitments and the depth of advanced research required at this academic level. It is designed for researchers, policymakers, data scientists, and senior professionals aiming to influence global digital ecosystems through rigorous quantitative research and technological innovation.

This doctorate study program is ideal for individuals committed to advancing computational statistics, strengthening data governance frameworks, and shaping the future of intelligent, evidence-based digital systems.