Masters in Applied Artificial Intelligence

Program Overview

This Master's program in Applied Artificial Intelligence equips students with a comprehensive understanding of AI principles and applications. The program offers specialization tracks in various domains, allowing students to tailor their education to their career goals. Through coursework, hands-on exercises, and a master's thesis, the program develops critical thinking, problem-solving skills, and the ability to contribute to the rapidly evolving field of AI.

Program Outline

Degree Overview:

This 60-ECTS credit Master's in Applied Artificial Intelligence is designed for individuals with an undergraduate degree, at least one year of relevant work experience, and a desire to deepen their theoretical and practical knowledge in AI.

Objectives:

• Gain a strong foundation in AI principles and methodologies.
• Develop practical application skills for AI know-how.
• Specialize in a domain of choice, such as FinTech, Automotive, Supply Chain Management, Marketing & E-Commerce, Production, Computer Vision, NLP, or Healthcare.
• Equip students to meet the high demand for AI experts across various industries.

Outline:

The program consists of two main parts:

Semester 1:

• Machine Learning (5 ECTS): Covers fundamental concepts and techniques in machine learning.
• Deep Learning (5 ECTS): Explores advanced deep learning architectures and applications.
• Reinforcement Learning (5 ECTS): Introduces the principles and algorithms of reinforcement learning.
• Inference and Causality (5 ECTS): Focuses on causal inference and its applications in AI.
• Elective A (10 ECTS): Students choose one elective module from a range of specialized areas:
• Applied Autonomous Driving (10 ECTS):
Covers AI applications in autonomous vehicles.
• Foundational Computer Vision (10 ECTS): Introduces the fundamentals of computer vision.
• Artificial Intelligence in FinTech (10 ECTS): Explores AI applications in financial technology.
• AI in Healthcare and Medical Imaging (10 ECTS): Focuses on AI applications in healthcare and medical imaging.
• Natural Language Processing and Voice Assistants (10 ECTS): Covers natural language processing and its applications in voice assistants.
• Industrial AI (10 ECTS): Explores AI applications in industrial settings.
• Artificial Intelligence in Supply Chain Management (10 ECTS): Focuses on AI applications in supply chain management.
• AI in E-Commerce, Marketing and Demand Forecast (10 ECTS): Covers AI applications in e-commerce, marketing, and demand forecasting.
• AI in Healthcare and Medical NLP (10 ECTS): Explores AI applications in healthcare and medical natural language processing.
• AI in Healthcare and Medical Robotics (10 ECTS): Focuses on AI applications in healthcare and medical robotics.
• AI in E-Commerce, Marketing and Analytics (10 ECTS): Covers AI applications in e-commerce, marketing, and analytics.
• AI in E-Commerce and Customer-centric Marketing (10 ECTS): Explores AI applications in e-commerce and customer-centric marketing.
• Industrial Production Systems (10 ECTS): Focuses on AI applications in industrial production systems.
• Computer Vision for Production Systems (10 ECTS): Covers computer vision applications in production systems.
• NLP and its Application in Education (10 ECTS): Explores natural language processing applications in education.

Semester 2:

• Elective B (10 ECTS): Students choose one elective module from a range of specialized areas:
• Functional Security and Computer Vision for Autonomous Systems (10 ECTS):
Covers functional security and computer vision applications in autonomous systems.
• Cognitive Computer Vision (10 ECTS): Explores cognitive computer vision techniques.
• Robo Advisory and AI in FinTech (10 ECTS): Focuses on robo advisory and AI applications in financial technology.
• Medical NLP and Medical Robotics (10 ECTS): Covers medical natural language processing and medical robotics.
• NLP and Innovative Technologies in Education (10 ECTS): Explores natural language processing and innovative technologies in education.
• AI and its Application in Demand Forecast and Procurement (10 ECTS): Covers AI applications in demand forecasting and procurement.
• AI for Analytics, Personalization and Recommender Systems (10 ECTS): Explores AI applications in analytics, personalization, and recommender systems.
• Computer Vision and NLP (10 ECTS): Focuses on computer vision and natural language processing.
• Advanced Robotics (10 ECTS): Covers advanced robotics concepts and applications.
• Computer Vision Essentials (10 ECTS): Introduces the fundamentals of computer vision.
• Seminar: Current Topics in AI (5 ECTS): Explores current trends and research in artificial intelligence.
• Master Thesis (15 ECTS): Students conduct independent research and write a thesis on a chosen AI topic.

Assessment:

The program utilizes a variety of assessment methods, including:

• Assignments: Assess students' ability to apply knowledge and skills.
• Master thesis: Demonstrates students' research capabilities and ability to contribute to the field of AI.

Teaching:

• Online learning platform: Provides access to course materials, lectures, and interactive exercises.
• AI-powered tutor: Provides 24/7 support and guidance.
• AI Product Owner: Provide direction and prioritize tasks for AI teams, ensuring alignment with product vision and roadmap.
• AI Consultant: Oversee AI projects, plan, integrate, and execute AI solutions to address business challenges.

Other:

• Flexible study schedule: Students can choose to study full-time or part-time, allowing them to balance their studies with work or other commitments.
• Globally recognized degree: The program is accredited and certified by the German Accreditation Council, ensuring international recognition.
• Support services: Students have access to a range of support services, including career coaching, online library, and study coaches.

• Tuition FeesStarting from € 415 (US$ 449) per month
• No application fees