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M.Sc. Artificial Intelligence (On Campus)

M.Sc. Artificial Intelligence (On Campus)

IU International University of Applied Sciences

Máster presencial

Berlin (Alemania)


529 /mes

Duración : 24 Meses

Artificial Intelligence (AI) is quickly becoming indispensable in our daily lives, leading to a growing demand for AI and machine learning experts. Secure your future career in AI and Industry 4.0 by enrolling in IU's online Master's in Artificial Intelligence program. Gain comprehensive knowledge essential for excelling as an AI specialist, and soon you could be contributing to the development of autonomous vehicles and advanced robotics systems.

Why should you choose IU?

• Affordable: Enjoy tuition fee reduction

• Flexible: 24/7 access to IU’s digital learning materials, wherever you are

• 24/7 Assistance: IU’s AI-driven teaching assistant helps you prepare for exams, find materials in the virtual library, and clarify questions

• Career-oriented: Courses combine theory and practical application through real-world case studies

• International: All programmes are accredited according to German and EU standards in education

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Localización

Fecha inicio

Berlin
Abril 2025

Requisitos

Academic Requirements: - Completed degree from a public or officially recognised university/higher education institution in relevant field. - At least a “satisfactory” or Grade C equivalent earned in your previous degree. - Your undergraduate degree should be worth 180 ECTS credits. - Your undergraduate studies must amount to 240 ECTS credits to begin a 60-ECTS MA. English Level: - Proof of English skills. - If you do not meet the English skills requirements, IU offers the free of charge IU English Language course. This is available to you if you meet the other admission requirements. - If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.

Temario completo de este curso

1. SEMESTER

  • Artificial Intelligence
  • Advanced Mathematics
  • Use Case and Evaluation
  • Seminar: AI and Society
  • Advanced Statistics
  • Project: AI Use Case


2. SEMESTER

  • Programming with Python
  • Machine Learning
  • Deep Learning
  • NLP and Computer Vision
  • Electives A


3. SEMESTER

  • Inference and Causality
  • Reinforcement Learning
  • Software Engineering for Data Intensive Sciences
  • Electives B
  • Seminar: Current Topics in AI


4. SEMESTER

  • Master Thesis & Colloquium
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