Study Fee: Click here to view the tuition and subscription options. 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. 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 AI and Machine Learning

Feb 22
2 min read

This Master study program is designed for professionals and graduates who aim to advance their expertise in Artificial Intelligence and Machine Learning through rigorous, research-oriented study. Positioned at a level equal to EQF Level 7 and aligned with the second cycle of the European Higher Education Area, the program carries an academic workload equivalent to 60 ECTS credits.

The Master in AI and Machine Learning is a 100% research-based program, structured to foster analytical thinking, methodological precision, and innovation in intelligent systems. It is particularly suitable for learners who seek to deepen their understanding of advanced algorithms, data-driven decision-making, computational models, and real-world AI applications across industries.

The program consists of five structured modules, including:

Two research-focused modules dedicated to research methodology, data analysis techniques, and academic writing.
Two general modules strengthening interdisciplinary perspectives, strategic thinking, and advanced analytical competencies.
One specialized module in Artificial Intelligence and Machine Learning, focusing on areas such as deep learning, neural networks, predictive modeling, natural language processing, and ethical AI frameworks.

In addition, students complete a substantial research project supported by structured research activities, allowing them to explore innovative AI-driven solutions to contemporary challenges in business, healthcare, engineering, finance, public policy, and digital transformation.

With a minimum duration of 12 months, the program offers flexibility, enabling students to extend their study period when needed to accommodate professional or personal commitments. The research-based structure ensures that graduates develop strong independent research capabilities, critical evaluation skills, and the ability to design, implement, and assess advanced AI systems responsibly and strategically.

This Master study program is ideal for professionals seeking to lead digital innovation, data science initiatives, intelligent automation projects, and AI governance strategies in a rapidly evolving technological landscape.