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Artificial Intelligence and Robotics (MSc)

Hof University of Applied Sciences· Hof

Applied Computer Science — علوم مهندسی، ریاضیات، علوم طبیعی

زبان‌های تدریس
English
شروع
Summer semester
مدت
۳ نیم‌سال
شهریه
بدون شهریه
هنوز بررسی نشده

برای بررسی، دکمهٔ «دریافت اطلاعات از سایت دانشگاه» را بزن.

شرایط زبان، مدارک، مهلت‌ها و هزینه‌ها مستقیم از وب‌سایت دانشگاه استخراج و با رنگ متمایز به تب‌ها اضافه می‌شود.

Degree
Master of Science
Course location
Hof
Teaching language
• English
Languages
All modules are taught in English.
Full-time / part-time
• full-time
Programme duration
3 semesters
Beginning
Summer semester
Application deadline
Our application portal (https://www3.primuss.de/cgi-bin/bew_anmeldung_v2/index.pl?Session=&FH=fhh&Email=&Portal=1&Language=en) is open during the following application period: 5 November – 30 November for the following summer semester
Tuition fees per semester in EUR
None
Combined Master's degree / PhD programme
No
Joint degree / double degree programme
No
Description/content
Experts who are familiar with artificial intelligence, machine learning and robotics are among the most sought-after professionals of our time. With this brand-new Master's degree, you will gain the expertise you need and create splendid career prospects. Programme objectives With our modules in the areas of artificial intelligence, especially machine learning and deep learning, you will gain the necessary knowledge to implement effective AI-based solutions in a wide variety of application areas. We place a special focus on the application area of robotics. You will learn how to design intelligent robotics solutions and deepen your skills through practical exercises in various modules. Your benefits With our Master's degree in Artificial Intelligence and Robotics, you will develop an in-depth understanding in the fields of AI and intelligent robotics and learn about state of the art algorithms. In various modules, you will gain knowledge of complex methods and models, such as Deep Generative Models, Variational Autoencoders, Deep Reinforcement Learning, Simultaneous Localisation and Mapping, or Robot Imitation Learning, and how they contribute to solving different classes of problems. The skills you acquire will enable you to independently plan, execute, and evaluate complex projects in these areas. Through versatile application examples in the different modules, you know a wide range of solution strategies that you can transfer to unknown tasks and new application areas. Career perspectives As a graduate, you will have excellent career prospects in various fields, such as: • Robotics application developer • AI developer • IT project manager • Consultant • ML architect • Data engineer • Machine learning engineer
مهلت درخواست
  • ۳۰ نوامبر ۲۰۲۶ورودی نیم‌سال تابستان
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Hof University of Applied Sciences

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