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 Data Science & AI

Feb 17
2 min read

This Master study program is a 100% research-based postgraduate program designed for professionals, analysts, engineers, and researchers who aim to develop advanced expertise in data science, artificial intelligence, and intelligent systems within global digital environments.

The program integrates statistical modeling, machine learning, artificial intelligence frameworks, big data analytics, and ethical AI governance. It prepares participants to design, evaluate, and optimize intelligent systems that support decision-making, innovation, and digital transformation across industries such as finance, healthcare, engineering, smart cities, logistics, and technology.

Study Level and Academic Framework

Study Level: Equivalent to EQF Level 7
European Framework: Equal to the Second European Cycle (Master Level)
ECTS: Equivalent to 60 ECTS
Duration: Minimum 12 months (Students benefit from academic flexibility and may extend the study period depending on research scope and professional commitments.)

Program Structure

The program consists of five academic modules, in addition to thesis and structured research activities:

2 Research-Focused Modules Covering advanced research methodology, statistical analysis, experimental design, academic writing, computational modeling, and data-driven research strategies.
2 General Academic Modules Addressing digital transformation, data governance, AI ethics, cybersecurity fundamentals, innovation management, and global regulatory considerations.
1 Specialized Data Science & AI Module Focused on machine learning algorithms, deep learning, predictive analytics, natural language processing, intelligent automation, and AI system architecture.
Thesis and Research Activities Participants conduct an independent research project contributing to advancements in artificial intelligence, applied data science, algorithm optimization, AI governance frameworks, or intelligent decision-support systems.

Academic Orientation

This Master study program is designed for:

Data analysts and AI engineers
Software developers and system architects
IT professionals and technology managers
Researchers in computational and data sciences
Professionals seeking leadership roles in AI-driven innovation

Graduates develop analytical, computational, and strategic research capabilities necessary to operate at advanced levels within data-intensive and AI-enabled environments.