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M.Sc. Applied AI

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Please note: Applications will be processed after state recognition.

Overview

The Master in Applied Artificial Intelligence is a two-year program (eight quarters) that covers the theoretical aspects of AI with an emphasis on concrete applications in industry, services, health and education. The Master is embedded in the matrix of postgraduate offerings of UDS and provides opportunities for advanced interdisciplinary work. Students take nine required and six elective courses, working in teams to solve complex real-world problems, many of which will be proposed by our industry partners. The program covers the most important aspects of symbolic AI, subsymbolic AI (neural networks and deep learning), advanced logic systems, language models, coding of complex systems and related technologies and applications.

Artificial Intelligence is now present in virtually every field, and professionals who can master its theory and applications are in high demand. AI applications now rely on massive libraries of code that UDS students are exposed to from the start. At the same time, students learn to develop their own coding libraries so that they do not become impenetrable black boxes. The interpretability of AI systems is one of the main aspects of this master program. Students also learn to ponder the ethical and security implications of AI from the very beginning of a project.

The German UDS welcomes students with a bachelor’s degree in STEM fields and all backgrounds to this master’s program. We expect our students to be curious and interested in participating in high-tech projects. Students learn to work in teams, enhancing their contributions and creativity. The program teaches how big AI projects are being conducted in the world today.

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Program Objectives

  • This master’s program provides students with state-of-the-art knowledge and skills in AI and its main subfields: symbolic AI, subsymbolic AI (neural networks), probabilistic AI, language models, and intelligent control.
  • The program fosters creativity and innovation in students working in teams.
  • Students learn to code complex applications and develop solutions based on the optimal use of big data systems and AI libraries.
  • Students learn to build datasets and code for unsupervised learning, supervised learning, and reinforcement learning of AI systems in many areas.
  • Applications and industry specialization: The development and adaptation of AI generic models to specific needs in industry, services, healthcare, education and others is one of the main focuses of the master’s program.
  • Research methods and hands-on work: Students work in teams to develop applications that require additional research and deep understanding of ready-made libraries.
  • Final project and Master’s thesis: Implementation of an independent final project in conjunction with the Master’s thesis (together 30 ECTS). Students choose to 2 develop either a collaborative, creative project, or a research paper that examines an emerging applied or theoretical topic in the field of AI.

Exemplary Study Program

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Electives

Benefit from our large pool of electives and take the opportunity to specialize individually in your field of interest.

A special feature of our degree programs is the great freedom of choice. While students on each study program must take 50% of the elective modules from a specified subject area designed specifically for the individual study programs, the rest can be chosen freely from the entire electives pool.

Unique Features

  • AI has changed many industries: medicine, business, entertainment, services, education, and more. Students become acquainted with these transformations and acquire the skills needed to become themselves transformative agents.
  • The German UDS connects students with industry partners interested in solving real-world problems.
  • From the very beginning students learn to work with AI toolboxes and are exposed to the realities of commercial applications.
  • German UDS fosters interdisciplinary collaboration and exchange of ideas between students from different disciplines and other master programs.
  • Students work individually and in teams to conceptualize, research, plan, and execute creative projects.
  • Develop critical evaluation, conceptual thinking, and communication skills for diverse contexts and audiences.
  • Engage with external communities of scholars and attend professional events, festivals, and master classes taught by industry practitioners. Students refine their skills and contributions in a relevant, real-world context.

Why study this Master program?

  • Artificial Intelligence is the fastest developing discipline in engineering.
  • A Master’s in Applied AI provides a comprehensive education that prepares graduates for successful careers in almost any application area.
  • The master’s degree provides the skills and knowledge necessary to lead teams in established companies or to pursue entrepreneurial ventures.

Why German UDS?

  • At German UDS, students learn to apply theory and critical thinking to solve complex problems.
  • Throughout their studies, students learn from pioneering researchers and role models, and work with internationally significant industry partners.
  • Students are able to work around their own schedules and to collaborate in virtual teams.
  • The German UDS provides an extensive online toolset that allows you to succeed with your studies.

Career Outlook

  • Graduates of the Applied AI master’s program have excellent career prospects in a rapidly growing field. The master’s program prepares students to become leading experts in the field of AI and to actively shape the future of these technologies.
  • Graduates can take up positions as AI developers, AI system designers, AI officers or can start their own companies. Students contribute to develop innovative technologies, design new applications, and optimize the interaction of intelligent systems with users.
  • Our graduates can pursue a career at the forefront of exciting new technologies and help push the state of the art in emerging fields.
  • AI jobs are growing at a rate of 22% per year, much more than the average for all occupations
  • The salaries for AI experts are growing faster than in other fields.