International 3+2 pathway program
⸺ Students enrolled in a Licence (Bachelor’s) program at MUST University have access to a streamlined 3+2 pathway leading to a Master’s degree at Steinbeis S-Next, a branch of Steinbeis University in Germany. After completing their three-year undergraduate studies at MUST, eligible students can transition directly into a two-year graduate program at Steinbeis, which is known for its applied, innovation-driven education. All Master’s programs at Steinbeis S-Next are taught entirely in English and focus on high-demand fields such as Data Analytics, Artificial Intelligence, Digital Transformation, and Business Innovation.
This international pathway offers students a unique blend of technical depth and real-world relevance, with options to study on campus in Germany or online. In addition to significant tuition discounts, students benefit from Steinbeis University’s strong industry connections and global faculty network. The program equips graduates with both a solid academic foundation and practical skills, preparing them to lead data-driven innovation and digital transformation efforts across a variety of sectors.
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Duration
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Students must be holders of a Tunisian Bac or international equivalent of the following type:
- Bac Maths
- Bac Sciences expérimentales
- Bac Informatique
- Bac Technique
- Diplôme international + équivalence Bac
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, and
- 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, and
- The option to complete the year either online or in person at the Steinbeis campus in Germany.
The specific objectives of the master program in data science include providing our graduates with:
- A solid foundation in data science concepts, techniques, technologies, and tools.
- A solid foundation in the statistical and mathematical foundations of data science.
- An in-depth understanding of the challenges of developing and managing data analytics solutions and their risks and implications.
Graduates of the Licence in Software Engineering and Information Systems can continue their education to get a Master or Engineering degree in a related field. They can also join the industry to work on the development and maintenance of complex information systems and applications.
Specific example careers include:
- Software application developer/engineer.
- Software tester/Software quality engineer.
- Software project manager.
- Database/IT System administrator.
- Information systems analyst/IT solutions integrator.
- AI Engineer.
Within a few years of successfully completing the Licence program, graduates employed in the industry will demonstrate career advancement through leadership, technical responsibility, significant technical achievement, or other recognition of their effective contributions. In addition, graduates will be adequately prepared for a modern professional environment where they would be able to: apply the acquired skills in effective communication, responsible teamwork, and time management; demonstrate professional attitude and ethical decision making; and/or establish their own business.
Graduates of the Licence in Software Engineering & Information Systems can continue their education to get a Master or Engineering degree in a related field. They can also join the industry to work on the development and maintenance of advanced software and computer-based systems. The application of these technologies span industrial computing, automation, health informatics, smart agriculture, and smart cities. They can join a team to launch a startup to develop solutions relying on these technologies to serve the needs of clients in a variety of sectors.
Steinbeis is a global network specializing in knowledge and technology transfer, supporting businesses, research institutions, and professionals through applied research, consulting, and education. It is recognized for bridging the gap between academia and industry by fostering innovation and entrepreneurial initiatives. Steinbeis University is part of this network and focuses on business, technology, and innovation management. Its programs emphasize a project-based learning approach, enabling students to work on real-world challenges in close collaboration with industry partners. All Master’s programs at Steinbeis University are delivered entirely in English.
Within Steinbeis University, the Steinbeis Schools of Next Practices (S-Next) is dedicated to executive education, with a focus on leadership, digital transformation, and business innovation. It has a variety of MA, MS, and MBA programs which can provide an excellent continuation after an undergraduate degree at MUST. More on these programs can be found via this link.
Participants in this program benefit from a 30% reduction in tuition fees at Steinbeis S-Next, and can study either in Germany or online remotely from Tunis. Students receive academic support and career advising throughout their studies. Students who successfully complete this program earn two degrees, one from MUST University and another from Steinbies S-Next.
| Course Code | Course Title | UE | ||
| MATH 111 | Math I | UEF 110 | ||
| CS 121 | Programming I | UEF 120 | ||
| CS 161 | Introduction to computer systems | UEF 130 | ||
| MATH 201 | Discrete Math for Computer Science | UEO 110 | ||
| ENG 100 | English 1 | — | ||
| ISS 162 | Student integration seminar | UET 111 | ||
| FR 100 | French 1 | UET 112 | ||
| CS 191 | Sustainability and Social Responsibility in IT Systems | UET 113 |
| Course Code | Course Title | UE | ||
| MATH 112 | Math II | UEF 210 | ||
| CS 141 | Data structures & algorithms | UEF 220 | ||
| CS 203 | Introduction to operating systems | UEF 230 | ||
| CS 231 | Introduction to databases | UEO 210 | ||
| ISS 262 | Learning to Learn | UET 211 | ||
| FR 101 | Academic French (French 2) | UET 212 | ||
| ENG 101 | Academic English | UET 213 | ||
| COM 131 | Public Speaking | — |
| Course Code | Course Title | UE | ||
| MATH 270 | Probability & statistics | UEF 310 | ||
| CS 342 | Algorithms & Complexity | UEF 320 | ||
| CS 328 | OO Software design & construction | UEF 330 | ||
| CS 411 | Computer Networks | UEF 340 | ||
| CS 321 | Principles of Software Engineering | UEO 310 | ||
| ISS 245 | Individual Professional Project | UET 311 | ||
| FR 121 | French Composition (French 3) | UET 312 | ||
| ENG 121 | English Composition | UET 313 |
| Course Code | Course Title | UE | ||
| CS 481 | Artificial Intelligence | UEF 410 | ||
| CS 455 | Cloud Computing | UEF 420 | ||
| CS 422 | Application Development for Cloud Environments | UEF 430 | ||
| CS 428 | Software Testing & QA | UEO 410 | ||
| CS 457 | Cloud Computing Economics | UEO 420 | ||
| MGMT 282 | Personal development & leadership | UET 411 | ||
| COM 225 | Business & Technical Communication | UET 412 | ||
| ISS 185 | Entrepreneurship I | UET 413 |
| Course Code | Course Title | UE | ||
| CS 335 | Scalable Big Data processing | UEF 510 | ||
| CS 412 | Computer & Cloud Security | UEF 520 | ||
| CS 432 | Data engineering for the cloud | UEF 530 | ||
| CS 427 | Software Development Operations in Cloud Environments | UEO 510 | ||
| CS 424 | AI-First Software Engineering | UEO 520 | ||
| MGMT 322 | Principles of Management | UET 511 | ||
| COM 451 | Professional Development and Career Readiness | UET 512 | ||
| ISS 285 | Entrepreneurship 2 | UET 513 |
| Course Code | Course Title | UE | ||
| ISS 321 | Capstone project/Internship (Stage de fin d’études) | UEF 610 |
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