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 Big Data Analytics

Feb 21
2 min read

This Master study program is a research-oriented academic pathway designed for professionals and graduates who aim to develop advanced competencies in data analysis, digital intelligence, and evidence-based decision making. The program focuses on transforming large, complex datasets into strategic insights that support innovation across business, healthcare, finance, technology, public policy, and emerging digital industries.

Structured as a 100% research-based program, it emphasizes analytical thinking, methodological rigor, and applied data investigation. The study level is equal to EQF Level 7 and corresponds to the second European cycle. The academic workload is equal to 60 ECTS, ensuring alignment with European higher education standards and international comparability.

The program consists of five integrated modules:

Two research-focused modules covering advanced research design, quantitative and qualitative data methodologies, statistical modeling, and data ethics.
Two general academic modules strengthening critical thinking, academic writing, digital transformation concepts, and strategic decision frameworks.
One specialized module dedicated specifically to Big Data Analytics, including machine learning foundations, predictive modeling, data visualization, big data architectures, and applied analytics in real-world environments.

In addition to structured modules, students complete a thesis and structured research activities, enabling them to produce original analytical work that demonstrates mastery in big data environments and complex data systems.

The duration of the program is +12 months. While there is a minimum study period, students benefit from flexible study progression and may extend the program within the academic framework when needed.

This Master study program is ideal for professionals working in data science, IT, finance, marketing analytics, operations, healthcare informatics, and digital strategy, as well as graduates seeking to build high-level research competence in large-scale data environments. It prepares participants to design analytical models, interpret complex datasets, evaluate algorithmic outputs, and contribute to data-driven innovation within organizations and research institutions.

Graduates of this Master study program develop the capacity to:

Conduct independent research in data-intensive fields
Design and implement advanced analytical frameworks
Apply statistical and computational tools to real-world datasets
Evaluate ethical and regulatory aspects of data usage
Lead data-driven transformation initiatives

By combining methodological depth with applied analytical focus, the Master in Big Data Analytics supports the development of advanced expertise required in today’s data-centric global economy.