The Dual Master’s Program in Data Science and Artificial Intelligence is a two-year international track that leads to two graduate degrees: 

• A Master of Science (MS) in Data Science from MUST University, et 
• A Master of Arts (MA) in Data Analytics and AI from Steinbeis S-Next, affiliated with Steinbeis University, one of Germany’s most prominent institutions for applied research and industry-linked education. 

Designed for ambitious students seeking a global, interdisciplinary, and career-ready academic experience, the program offers a unique opportunity to gain expertise across two continents and two complementary academic cultures. 

Students spend the first academic year (two semesters) at MUST University, where they build a solid foundation in data science, including machine learning, data engineering, statistics, and applied research methods. In the second year, students transition to Steinbeis S-Next, where they deepen their specialization in data analytics and artificial intelligence, with a strong emphasis on business applications, entrepreneurship, and innovation management. 

 At MUST University, students benefit from: 

• Rigorous technical training spanning mathematical foundations of data science, Big Data analytics, Machine Learning, Data management and data engineering,  
• Unlimited Certifications via MUST’s Digital Campus which includes over 8 thousand courses from Coursera for Campus, NVIDIA’s Deep Learning Institute, Amazon AWS online academy, and DataCamp, 
• Professors with international experience, 
• A vibrant campus community and extended international network of partners and adjunct faculty, 

 At Steinbeis S-Next, students benefit from: 

• A curriculum grounded in real-world problem-solving, 
• Extensive interaction with industry partners and innovation labs, 
• Access to career networks in Germany and the EU, et 
• The option to complete the year either online or in person at the Steinbeis campus in Germany. 

Les objectifs spécifiques du programme de master en science des données comprennent la fourniture à nos diplômés de :

• Une base solide dans les concepts, techniques, technologies et outils de la science des données.
• Une base solide dans les fondements statistiques et mathématiques de la science des données.
• Une compréhension approfondie des défis liés au développement et à la gestion des solutions d'analyse des données, ainsi que de leurs risques et implications.