MA Business & Organizational Psychology
Steinbeis University offers a Master of Arts (MA) in Business & Organizational Psyc...
MSc AI & Engineering for Medical Applications
Magdeburg
INTAKE: October
Program Overview
Steinbeis University, in a pioneering collaboration with Otto von Guericke University Magdeburg (OVGU), offers a Master of Science (MSc) in AI & Engineering for Medical Applications. This innovative, four-semester program is Germany's first public-private partnership master's degree in this field. It is meticulously designed for graduates in engineering, computer science, or a related STEM field who are eager to apply their skills to real-world health challenges. Taught entirely in English and located in Magdeburg, a dynamic hub for medical technology, the program's core philosophy is to blend Steinbeis's practical, business-focused approach with OVGU's strong technical expertise. This hybrid learning model, which combines online coursework with hands-on lab sessions, ensures that students gain both the theoretical knowledge and the real-world experience needed to innovate in healthcare.
Curriculum: The curriculum for the MSc in AI & Engineering for Medical Applications is interdisciplinary, seamlessly integrating principles from artificial intelligence, engineering, and medical sciences. The program is structured to provide a comprehensive understanding of the intersection between technology and healthcare. Key modules include Mathematical Foundations, Anatomy for Engineering Students, and Medical Imaging Technology. Students delve into advanced topics such as High Frequency Technology for Medical Applications, Optimization and Quality Assurance, and Regulatory Affairs and AI in Medical Devices. The curriculum also covers essential skills like programming for AI applications, data processing, and clinical aspects of imaging and radiation therapy, ensuring graduates possess a holistic understanding of the field.
Research Focus: The research focus of the program is applied and highly innovative. The curriculum is designed to meet the skyrocketing global demand for AI-driven medical solutions, and students are encouraged to engage directly with cutting-edge medical imaging technologies and data analytics. The program's hands-on approach to research means students work on immersive projects and are mentored by experts to develop innovative solutions that improve diagnostics, treatment, and patient outcomes. The final capstone project or Master's thesis provides an opportunity for students to conduct in-depth research and contribute to breakthroughs in medical technology, preparing them to lead cutting-edge projects at the intersection of AI and medicine.
Industry Engagement: Industry engagement is a central and defining feature of this program, which is a public-private partnership. The curriculum is developed with input from leading industry giants such as Siemens Healthineers and the Fraunhofer Institutes. The hybrid learning model provides direct access to top employers and allows students to work alongside peers and experts in the heart of Magdeburg's medical tech community. The program includes hands-on lab sessions at OVGU, providing students with real-world exposure to AI technologies in the healthcare sector. This strong connection to the medical technology industry, combined with expert faculty, gives graduates a competitive edge in a high-growth sector.
Global Perspective: The MSc in AI & Engineering for Medical Applications provides a strong global perspective, preparing students to contribute to the international healthcare landscape. The program is taught entirely in English, attracting a diverse student body and fostering an intercultural learning environment. The curriculum addresses the global nature of AI in healthcare, focusing on how AI solutions can be applied to complex healthcare challenges worldwide. The program's focus on international standards and regulatory affairs for medical devices, combined with its location in Germany—a global leader in medical technology—immerses students in a dynamic international environment. This academic experience ensures that graduates possess the cross-cultural competence and global mindset that are essential for success in an international career.
Location
Magdeburg
Score
IELTS 6.5
Tuition Fee
Euro 11900
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 60% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
- PTE: Overall score of 65 or higher.
Steinbeis University, Germany, is making quality education accessible to talented and ambitious students from around the world. To support international learners, the university offers a range of scholarships and financial aid options that help reduce the financial burden and make studying in Germany more affordable.
Merit-Based Scholarships: International students with an excellent academic track record may be eligible for merit-based scholarships. These scholarships are awarded based on academic performance, leadership potential, and extracurricular achievements. Applicants are required to submit a strong motivation letter, recommendation letters, and proof of academic excellence during the admission process.
Need-Based Financial Assistance: For students facing financial hardship, Steinbeis University provides limited need-based financial aid. Applicants must submit proof of income, a personal statement outlining their financial situation, and future career goals. These grants are designed to ensure that deserving students are not denied education due to financial constraints.
Project-Based Scholarships: In line with Steinbeis University's project-focused learning model, certain scholarships are awarded to students involved in innovative or socially impactful industry projects. These scholarships are often co-sponsored by partner companies or industry collaborators and are aimed at promoting practical research and real-world application.
Corporate Sponsorships and Partner Scholarships: Through its network of over 1,000 global industry partners, Steinbeis University facilitates corporate-sponsored scholarships for students working on specific projects or pursuing studies in fields like business management, digital transformation, healthcare, and engineering. These partnerships often include mentorship, internships, or job placement opportunities post-graduation.
Early Bird Discounts and Tuition Fee Reductions: Steinbeis University offers early bird discounts to students who apply and enroll before a specified deadline. Additionally, group admissions or company-sponsored cohorts may receive customized tuition fee reductions, making the programs more cost-effective.
Graduates of the Master of Science (MSc) in AI & Engineering for Medical Applications from Steinbeis University are uniquely prepared to meet the high demand for professionals who can bridge the gap between technology and healthcare.
Medical AI Engineer: A core career path where graduates design, develop, and implement AI-driven solutions for diagnostics, treatment planning, and patient care. They work with medical imaging technologies, data from electronic health records, and other clinical data to create systems that enhance outcomes and optimize workflows.
Biomedical Machine Learning Scientist: These professionals specialize in creating and applying machine learning algorithms to solve problems in biomedical research and clinical practice. They work on projects ranging from predictive modeling for disease progression to personalized medicine and drug discovery.
Digital Health Product Manager: This role involves overseeing the development and launch of new digital health products and services that leverage AI. Graduates use their technical expertise and understanding of regulatory affairs to define product requirements, manage product lifecycles, and ensure alignment with business goals.
AI Regulatory Affairs Specialist: With a deep understanding of the regulatory landscape for medical devices and AI, graduates are well-suited for this critical role. They ensure that a company's AI-driven medical products comply with national and international regulations, such as those from the FDA and the European Medicines Agency (EMA).
Healthcare AI Consultant: A graduate's interdisciplinary background and problem-solving skills make them a strong candidate for a consulting role. They can advise a variety of clients, including hospitals, pharmaceutical companies, and startups, on how to effectively integrate AI into their operations and business strategies.
Medical Imaging Engineer: With a strong foundation in medical imaging technologies like MRT and advanced data processing, graduates can specialize as medical imaging engineers. They work to improve the quality, resolution, and analytical capabilities of medical imaging systems, often by integrating AI to automate analysis and improve diagnostic accuracy.
Data Scientist (Healthcare): These professionals use their skills to collect, process, and analyze large datasets from healthcare sources. They extract valuable insights to improve patient outcomes, optimize hospital operations, and inform public health policy.
Robotics Engineer (Medical): With a background in engineering and AI, graduates can work as robotics engineers, designing and building robotic systems for use in healthcare, such as surgical robots or assistive devices for patient care.
AI Ethicist: This is a growing field where professionals ensure that the development and application of AI in healthcare are ethical, unbiased, and responsible. A graduate's interdisciplinary knowledge allows them to navigate the complex philosophical, social, and technical challenges of AI in medicine.
PhD Researcher: The program's rigorous academic foundation and hands-on research focus prepare graduates to continue their education and pursue a Ph.D. in a specialized area, such as medical informatics, biomedical engineering, or computer science with a focus on medical applications.
