Bachelor's in Künstliche Intelligenz

Künstliche Intelligenz is a Bachelor program taught at Technische Hochschule Ingolstadt, Germany. Intake: Winter. The program is offered in campus-based modes with full-time (7 Semester) options.

The Bachelor's Degree in Künstliche Intelligenz (Artificial Intelligence) at Technische Hochschule Ingolstadt provides students with a robust foundation in the principles and practices of AI. This comprehensive program covers a wide range of topics including machine learning, neural networks, natural language processing, and robotics. Through hands-on projects and collaborative work, students will gain practical experience that is essential for a successful career in this rapidly evolving field.

The course structure is designed to promote a balanced understanding of both theoretical knowledge and practical application. Students will engage in laboratory experiments, seminars, and team projects, allowing them to apply what they’ve learned in real-world scenarios. The curriculum encourages innovation and creativity, empowering students to develop their own AI solutions.

Studying Künstliche Intelligenz in Germany offers unique advantages. As one of the leading countries in engineering and technology, students will benefit from a rich educational environment and access to advanced research facilities. Additionally, Germany's strong focus on innovation and technology provides ample opportunities for internships and collaborations with industry leaders.

The minimum requirements for admission in Künstliche Intelligenz at Technische Hochschule Ingolstadt for all applicants (Domestic or International) are:

• program specific academic requirment set by Technische Hochschule Ingolstadt.
• English Language OR any other language requirments as set by Technische Hochschule Ingolstadt as pre-requiste for admission in Künstliche Intelligenz.

Note: Please check the university website in the link below.

Candidates are typically expected to have completed a secondary education that qualifies them for university studies. Strong knowledge in mathematics, computer science, and related subjects is beneficial. Additionally, some programs may require relevant internship experience or project work to demonstrate practical skills.

Applicants must possess adequate English language skills to manage the course content effectively. This generally translates to a minimum IELTS score of 6.0 or equivalent TOEFL score. Proficiency will be assessed based on previous education conducted in English or through standardized language tests.

Please check detail of study units at https://www.thi.de/studium/studienangebote/

• Data Scientist
• Machine Learning Engineer
• AI Researcher
• Software Developer
• Robotics Engineer
• Business Intelligence Analyst
• IT Consultant

72 fully funded scholarships are listed for Germany. See Germany scholarships.