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 Computing and IT and Statistics

Feb 20
2 min read

This Master study program is a research-oriented academic pathway designed for graduates and professionals seeking to integrate advanced computing technologies with rigorous statistical analysis. Positioned at a level equivalent to EQF Level 7 and aligned with the Second European Cycle, the program emphasizes quantitative reasoning, data-driven innovation, and applied computational research.

Structured as a 100% research-based program, it develops advanced competencies in statistical modeling, data science, computational analytics, and evidence-based decision systems. The academic framework consists of five comprehensive modules, including:

Two research-focused modules dedicated to advanced research methodology, statistical inference, experimental design, multivariate analysis, and academic writing in interdisciplinary computing and statistics contexts.
Two general modules covering digital transformation, innovation management, technology ethics, and strategic leadership in data-centric environments.
One specialized module in Computing, IT, and Statistics, addressing areas such as applied statistics for computing, machine learning algorithms, big data analytics, predictive modeling, data visualization systems, programming for statistical computing, and quantitative risk analysis.

The program culminates in an independent research thesis and structured research activities, enabling participants to explore contemporary challenges such as artificial intelligence analytics, financial data modeling, healthcare data systems, cybersecurity analytics, smart city data infrastructures, and high-performance statistical computing.

With a minimum duration of 12 months, the program offers flexibility for extension to accommodate professional commitments and research depth. The academic workload is equivalent to 60 ECTS credits, ensuring compatibility with European higher education standards.

This Master study program is ideal for individuals aiming to advance into roles in data science, business intelligence, AI analytics, quantitative research, or to pursue doctoral-level studies in computing, statistics, and advanced data systems.