Master's in Artificial Intelligence
Introduction
Artificial Intelligence is a Masters program taught at Friedrich-Alexander Universität Erlangen-Nürnberg, Germany. Intake: Wintersemester. The program is offered in campus-based modes with full-time (1–2 years) options.
The Master's Degree in Artificial Intelligence at Friedrich-Alexander Universität Erlangen-Nürnberg offers an in-depth exploration into the world of AI, encompassing both theoretical and practical approaches. Students will engage with the fundamentals of machine learning, neural networks, natural language processing, and robotics, equipping them with the essential skills to address complex challenges in this rapidly evolving field.
Structured into core modules and elective courses, the program encourages a multidisciplinary approach, combining insights from computer science with elements of cognitive science, mathematics, and engineering. Students will participate in hands-on projects and research, fostering their ability to apply AI techniques in real-world scenarios, and reinforcing their problem-solving capabilities.
By studying in Germany, renowned for its technological advancements and strong emphasis on research and development, students can benefit from access to cutting-edge facilities and collaboration opportunities with industry leaders. Graduates are not only prepared to excel in their careers but also contribute to the innovation landscape in AI.
Admission Requirements
The minimum requirements for admission in Artificial Intelligence at Friedrich-Alexander Universität Erlangen-Nürnberg for all applicants (Domestic or International) are:
- program specific academic requirment set by Friedrich-Alexander Universität Erlangen-Nürnberg.
- English Language OR any other language requirments as set by Friedrich-Alexander Universität Erlangen-Nürnberg as pre-requiste for admission in Artificial Intelligence.
Note: Please check the university website in the link below.
Applicants are typically required to hold a Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field. A strong foundation in programming, algorithms, and data structures is essential. Prospective students should also demonstrate analytical thinking and research capabilities, often showcased through a portfolio or relevant work experience.
Students generally need to provide proof of English proficiency, usually indicated by an IELTS score of 6.5 or higher or a TOEFL score of 90 or above. Requirements may vary by program, so it is advisable to check the specific criteria noted by the university.
Courses Units
Please check detail of study units at https://www.fau.de/studium/studienangebot/alle-studiengaenge/
More Information
- AI Research Scientist
- Machine Learning Engineer
- Data Scientist
- Robotics Engineer
- Natural Language Processing Specialist
- Software Developer in AI Applications
- Business Intelligence Analyst
Scholarships
72 fully funded scholarships are listed for Germany. See Germany scholarships.