MBA in Artificial Intelligence draft

Program Overview

The MBA in Artificial Intelligence at IU International University of Applied Sciences equips students with the managerial and technological skills to lead AI projects. The program emphasizes general management principles, AI applications in business, and hands-on experience with AI tools. Graduates are prepared for careers as AI Team Leads, AI Interaction Designers, and Machine Learning Experts.

Program Outline

MBA in Artificial Intelligence - IU International University of Applied Sciences

Degree Overview:

The MBA in Artificial Intelligence at IU International University of Applied Sciences is designed to equip students with the managerial expertise and technological understanding needed to lead teams in AI-related projects. The program aims to prepare graduates for uniquely challenging positions in the rapidly evolving field of AI. The program focuses on:

• General management and business principles: Students will gain a solid foundation in core business concepts.
• AI applications in business: The program explores the practical applications of AI in various business contexts.
• Social and economic implications of AI: Students will analyze the ethical, social, and economic impacts of AI on businesses and society.
• Cognitive processes from a neuroscientific perspective: The program delves into the cognitive processes underlying machine learning and AI.
• Practical hands-on experience with AI tools: Students will gain practical skills by working with various AI tools in a simulated business setting.
• Analyzing and selecting AI tools for specific business needs: Graduates will be able to assess and choose the most appropriate AI tools for different business requirements.

Outline:

Semester 1:

• Leadership (5 ECTS credits): This module explores leadership theories and practices, focusing on developing effective leadership skills.
• Innovation and Entrepreneurship (5 ECTS credits): This module examines the principles of innovation and entrepreneurship, covering topics like idea generation, business model development, and venture creation.
• Corporate Finance (5 ECTS credits): This module covers the fundamentals of corporate finance, including financial statements analysis, capital budgeting, and valuation.
• Managerial Economics (5 ECTS credits): This module introduces the principles of managerial economics, covering topics like demand analysis, cost analysis, and pricing strategies.
• Performance Measurement (5 ECTS credits): This module focuses on the methods and tools used to measure and evaluate business performance.

Semester 2:

• Strategic Management (5 ECTS credits): This module explores the concepts and frameworks of strategic management, covering topics like competitive analysis, strategic planning, and implementation.
• Business Ethics and Corporate Governance (5 ECTS credits): This module examines ethical considerations in business decision-making and the role of corporate governance in ensuring ethical behavior.
• Artificial Intelligence (10 ECTS credits): This module provides a comprehensive introduction to the field of artificial intelligence, covering topics like machine learning, deep learning, and natural language processing.
• AI in Practice: Use Cases & Creative Prompting (10 ECTS credits): This module explores real-world applications of AI, focusing on practical use cases and creative prompting techniques.

Semester 3:

Teaching:

• Teaching Methods: The program utilizes a blended learning approach, combining online self-study with live and recorded tutorials.
• Faculty: The program is taught by experienced faculty with expertise in AI and business.

Careers:

The program prepares students for a variety of career paths in the AI field, including:

• AI Team Lead: Overseeing and managing AI specialist teams, requiring strong technological and managerial skills.
• AI Interaction Designer: Designing work environments that facilitate efficient collaboration between humans and AI-powered tools.
• Machine Learning Expert: Building and developing new technologies in data science, focusing on machine learning applications.

Other:

• Study Model: The program is offered in both online and on-campus formats.
• Study Duration: The program can be completed in 18, 24, or 36 months, depending on the chosen time model.
• Accreditation: The program is accredited in line with German and European standards.
• Recognition: The degree is internationally recognized and can be easily transferred to another country.
• Language: The program is taught entirely in English.
• Flexibility: Students have the flexibility to choose their study schedule and location.
• Job Success: 94% of IU graduates find a job within 3 months of graduation.

Tuition FeesStarting from € 385 (US$ 417) per month based on the exchange rate from 31.07.2024 12:00 AM (CEST)Online applicationNo application fees