Artificial Intelligence & Robotics

Subjects: Artificial Intelligence;Data Science;Robotics

M.Sc. | Master of Science

Course description

Artificial intelligence is transforming our daily lives and workplaces. This surge in technological advancement has led to a high demand for experts in robotics and artificial intelligence across various sectors. The Master degree program in Artificial Intelligence and Robotics offers students a chance to hone their skills and deepen their knowledge in these dynamic areas. Through a blend of theoretical and practical courses, the program ensures students grasp the core concepts, algorithms, and applications of robotics and artificial intelligence. They learn to design, implement, and evaluate intricate robotic systems and algorithms. This comprehensive approach equips graduates to excel in industries such as manufacturing, healthcare, transportation, and entertainment. Additionally, they are well-prepared for research and academic roles in these fields. The curriculum covers a wide range of study subjects, ensuring a robust educational experience. By focusing on both theory and hands-on practice, students gain a well-rounded understanding that prepares them for the challenges and opportunities in their future careers.

Application Requirements

Language Requirements

Proficiency in English TOEFL internet based (min. 90 Points) TOEFL Paper (min. 577 Points) IELTS (min. 6,5) Cambridge Language Assessment (C1 Advanced)

Qualification Requirements

Bachelor of Science (or equivalent) in Computer Science or related fields such as Electrical Engineering, Mechanical Engineering, Mathematics, or Physics. Excellent knowledge of Computer Sciences: Introduction to Computer Science, Programming, Algorithms and Data Structures, as well as one of the following subjects: Theoretical Computer Science, Computer Architecture, Computer Networks, or Software Engineering (minimum of 24 ECTS credits or equivalent). Mathematical references in analysis and linear algebra (at least 18 ECTS or equivalent). Necessary programming competencies in algorithms and data structures: Basic data structures (arrays, lists, stacks, queues, sets, trees, and graphs) Complexity analysis (best case, worst case, average case, Big-O notation, divide and conquer) Sorting algorithms (bubble sort, insertion sort, quicksort, mergesort, and heapsort) Searching algorithms (linear search, binary search, tree search, and graph search) Hashing techniques (open hashing and closed hashing)

Document Requirements

Complete, chronological, tabular CV in English Certificate and diploma of the graduated university degree If the degree certificate is not yet available, it can be submitted up to 5 weeks after start of the semester at the latest. Transcript of records / overview of courses Diploma supplement / curriculum / module overview Explanatory letter in English (max. 600 words) Your explanatory letter is part of the aptitude assessment by the selection committee. Describe your specific interest as well as your special talent and willingness to perform during the degree program. We would also like to know why and how our teaching/learning concept is conducive to your acquisition of competencies. Language certificate English C1 You can prove your language skills by showing a successfully completed language test, which is not older than two years. We will accept the following certificates: TOEFL internet-based min. 90 points, TOEFL computer-based min. 233 points, TOEFL paper min. 577 points, IELTS min. 6.5, Cambridge language assessment C1 advanced. Language certificate German A2 or German-language university entrance qualification The proof can also be submitted later up to the registration of the final paper (beginning of 4th semester). If a language test is already submitted for the application or enrollment, it must not be older than two years. Additional supporting documents For example relevant internships or work experience. Proof of APS certificate An APS certificate is necessary if you obtained your university degree in India, China or Vietnam.