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 Mining and Applications

Feb 22
2 min read

The Doctorate in Data Mining and Applications is an advanced and research-intensive doctorate study program designed for experienced professionals, researchers, and data scientists who seek to generate original contributions in the field of data-driven innovation. Positioned at a study level equivalent to EQF Level 8 and aligned with the third European cycle, this program represents the highest level of academic specialization in knowledge discovery and advanced analytics.

This doctorate study program is 100% research based, emphasizing methodological rigor, theoretical advancement, and independent scientific inquiry. It enables participants to investigate complex challenges related to large-scale data processing, advanced data mining algorithms, machine learning frameworks, predictive modeling, pattern recognition, and intelligent decision-support systems across diverse industries.

The academic structure consists of seven carefully designed modules, ensuring structured research progression and scholarly excellence:

Four research-focused modules dedicated to advanced research design, quantitative modeling, algorithmic development, experimental validation, and innovation in data analytics methodologies.
Two general modules aimed at strengthening academic leadership, research ethics, scholarly communication, interdisciplinary integration, and publication standards.
One specialized module in Data Mining and Applications, focusing on cutting-edge data mining techniques, big data architectures, applied machine learning systems, and domain-specific implementation strategies.
In addition, participants complete substantial thesis and research activities, demonstrating their ability to design, develop, and validate original data mining solutions that contribute meaningfully to scientific and practical advancement.

The minimum duration of the program is +18 months, with flexibility allowing participants to extend their study period according to professional, research, or personal commitments. This structure makes the program particularly suitable for senior data professionals, analytics leaders, research engineers, and digital innovation strategists seeking to elevate their academic authority and research impact.

The Doctorate in Data Mining and Applications prepares participants for high-level academic careers, research leadership roles, advanced data science consultancy, and innovation-driven positions in sectors such as artificial intelligence, financial analytics, healthcare analytics, cybersecurity, smart systems, and large-scale enterprise data environments.

By combining research excellence, algorithmic sophistication, and real-world application, this doctorate study program empowers scholars to advance the science of data mining, develop intelligent analytical frameworks, and shape the future of data-driven decision-making in a rapidly evolving global digital economy.