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 Computer Science with Artificial Intelligence

Feb 20
2 min read

This Master study program is a research-intensive academic pathway designed for graduates and professionals seeking advanced expertise in computer science and artificial intelligence. Positioned at a level equivalent to EQF Level 7 and aligned with the Second European Cycle, the program emphasizes analytical depth, innovation, and applied research in emerging digital technologies.

With a strong focus on scientific inquiry and technological advancement, the curriculum is structured around five comprehensive modules:

Two research-oriented modules dedicated to advanced research design, data analysis methodologies, and academic writing in computing sciences.
Two general modules focusing on strategic technology management, ethics in artificial intelligence, digital transformation, and innovation leadership.
One specialized module centered on Computer Science with Artificial Intelligence, covering areas such as machine learning, deep learning, neural networks, intelligent systems, big data analytics, algorithm design, and AI-driven software development.

The program culminates in an independent research thesis and structured research activities, allowing participants to investigate contemporary challenges in artificial intelligence, automation, data science, cybersecurity, computational intelligence, or related technological domains.

Designed as a 100% research-based program, it develops high-level competencies in problem-solving, critical thinking, algorithmic reasoning, and the application of AI technologies across industries such as finance, healthcare, logistics, smart cities, robotics, and digital governance.

The duration of the program is minimum 12 months, with flexible extension options to accommodate professional commitments and research depth. The 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 leadership roles in technology sectors, pursue doctoral-level research, or contribute to innovation-driven industries shaping the future of artificial intelligence.