Master of Science in Artificial Intelligence and Machine Learning

In this research-oriented Master of Science programme, students further develop the technical and interdisciplinary competence in artificial intelligence (AI) building that they have obtained in a preceding Bachelor's degree programme in computer science. This programme of studies qualifies graduates for research and development work in both academia and industry. Set individual priorities Students have a great deal of freedom in designing their individual curriculum and can thus specialise in accordance with their personal interests. Composition of the course selection in accordance with a few compulsory elective areas ensures that students acquire the necessary basic knowledge in AI required for completing the degree as well as the AI specialist expertise and all essential capabilities for a career in AI and machine learning (ML). Practice-oriented A great strength of the degree programme are the integrated AI projects and labs. Students have the unique opportunity to participate in challenging AI projects in cutting-edge international AI research. Environment Darmstadt is Germany’s only location that is strong both in the full breadth of AI research (with leading research groups in AI Fundamentals, Computer Vision, Games, Natural Language Processing, Robotics and Systems AI) as well as in the full depth on machine learning (with well-known researchers in deep learning, statistical learning, generative models, relational learning, robot learning, reinforcement learning as well as data mining and data management). These AI researchers are located in the computer science department of TU Darmstadt (one of Germany’s strongest computer science departments), the Hessian Center for Artificial Intelligence (hessian.AI), and the German Research Center for Artificial Intelligence (DFKI). AI research applied to computer security and computer vision & graphics is also supported by Darmstadt’s Fraunhofer Institutes on these specific topics. The main part of the Master's programme consists of electives from four course catalogues highlighting different aspects of knowledge required from AI specialists: Fundamentals (catalogue: Foundations of Artificial Intelligence), Advanced models and methods of artificial intelligence and machine learning (catalogue: AI Models and Methods), Challenges in the development of real AI systems (catalogue: AI Systems) Application-oriented courses (catalogue: AI Domains and Applications). Students must take courses from all areas. A wide range of AI seminars and labs introduces students to AI research and application. Additionally, students can prepare for their Master's theses from the start of their studies onward through larger, possibly multi-part projects. Part-time studies are possible.