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Master of Science in Applied Artificial Intelligence (MScAI)
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Master of Science in Applied Artificial Intelligence (MScAI)

The Master's in Applied Artificial Intelligence at the University of UMEF is anchored in Switzerland's globally renowned innovation ecosystem - ranked No. 1 in the Global Innovation Index and benefits from its strategic location in Geneva, home to a wide network of international organizations.
$8,900
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Why choose Swiss UMEF

Curriculum

Technology Core Module
Focuses on core AI technologies, equipping students with a solid understanding of data, algorithms, and AI applications in business environments.

Ethics and Governance Module
Addresses key issues in AI ethics, regulation, and responsible use, preparing students to manage risks and ensure sustainable and compliant AI implementation.

Strategic Management Module
Develops the ability to apply AI in business strategy, enabling students to lead digital transformation and drive organizational growth.

Faculty Credentials
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Morgan Gautherot
A world-renowned scholar at the intersection of medicine, engineering, and education, Professor Morgan Gautreau is celebrated for his exceptional academic achievements and cross-disciplinary innovations. Holding a Doctor of Medicine (MD) degree, Professor Gautreau combines the analytical rigor of an engineer with the depth of an education specialist. He demonstrates outstanding insight and leadership in emerging fields such as data science, machine learning, and artificial intelligence. His research has been published in top-tier international journals and has had a significant real-world impact, exemplifying his strength in integrating academic research, industrial application, and technological innovation.
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Dalith Steiger-Gablinger
Dr. Dalith Steiger-Gablinger is not only a university professor but also the co-founder of SwissCognitive, one of Switzerland’s leading AI startups. She studied Mathematics and Business Informatics at the University of Zurich. Today, she is recognized as one of the most influential figures in the global AI ecosystem, known for her roles as an AI strategist, entrepreneur, global keynote speaker, and television host. With extensive international experience in AI strategy consulting across industries, Dr. Steiger brings invaluable insights into the evolving AI landscape. Her expertise enables early identification of emerging technological trends and critical assessment of their relevance. Through her deep understanding of artificial intelligence, she empowers organizations to drive innovation and lead successful digital transformation initiatives,bridging the gap between technology and leadership.
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Oleh Tymchuk
Professor Oleg Tymchuk is an internationally recognized authority in the field of information technology, celebrated for his profound academic expertise and extensive industry experience. Holding a Ph.D. in Information Technology, Prof. Tymchuk has made significant contributions to both theoretical research and practical innovation. His industry background includes roles such as Research Software Engineer at EPAM and Lead Backend Architect at iMediaMatch in Copenhagen, where he helped pioneer a model of deep integration between academia, research, and enterprise. Currently serving as Lead Mentor at T Career Hub in Berlin, he uniquely combines advanced AI theory with industrial-grade application. His signature Python-based data analytics curriculum has trained a generation of highly skilled data science professionals, equipping them with real-world capabilities. Prof. Tymchuk's work continues to shape the global AI education landscape, advancing both intelligent theory and technological implementation in transformative ways.
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Konstantin Starchev
Dr. Konstantin Stanchev is an experienced professor and software engineer specializing in computer vision and machine learning. Since 2017, he has served as Vice President of the Swiss Association for Virtual and Augmented Reality, and has led multiple end-to-end software development projects across both industry and academia. Previously, he worked as a Research Engineer at the Computer Vision Laboratory (CVLab) at EPFL, where he played a key role in developing 3D sail reconstruction software and implementing vision-based algorithms for bionic fish robots. Dr. Stanchev also made significant contributions to Manteia Predictive Medicine, a Swiss startup, where he was involved in the development of high-throughput DNA sequencing through the analysis of microscopic images. This innovative work led to the advancement of what is now known as Illumina DNA Sequencing, one of the most cutting-edge technologies in the field today.
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Admission Requirements

◎ Bachelor's degree or equivalentmanagement experience ◎ Associate degree with at least 2 years of professional work experience

Application Documents

◎ Completed Program Application Form ◎ Curriculum Vitae (CV) / Résumé ◎ Academic Transcript (if available) ◎ Highest Degree Certificate ◎ Copy of National ID or Passport ◎ Recent Passport-Sized Photo

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Invest in yourself — the best return you'll ever make

No Entrance Exam · Study While You Work · Globally Recognized MBA