Master’s in AI Management – Computer Science for Business

Module 1: International Human Resources Management

Students learn to develop effective HR strategies that consider global labour markets, cultural diversity and international business practices. They become familiar with further principles and guidelines for international companies with regard to personnel recruitment, deployment and management. In addition, the module enhances understanding of internal and external accounting, teaching students to work with key figures and develop strategic recommendations. A simulation game helps them apply social and professional skills in an equally application-orientated way.

Module 2: IT Architecture

The IT Architectures course teaches students to plan, organize and manage IT systems in a business context. Students will learn to design IT architectures, set evaluation criteria, make strategic decisions and conduct risk assessments. Topics include operating systems, virtualisation, networking, identity management, access control, cloud services and security. The course concludes with case studies on visualisation techniques, management tools and the impact of IT architectures on business operations.

Module 3: IT Management

This module prepares students for leadership roles within tech-driven organisations, equipping them with the expertise to champion innovation while maintaining operational efficiency. Students will learn to create IT strategies, align business objectives with IT services, and to effectively manage the operations of IT. They will delve into advanced IT organisational models as well as risk management, governance and compliance frameworks, and also explore methodologies for supplier management and IT contract procurement. By working with real-world case studies and IT budgets, students will practice applying IT controlling methods to ensure the efficient and effective use of resources across both projects and operations, ultimately driving significant business value. In addition, the course places a strong emphasis on their personal professional development, fostering the leadership skills required to manage employees, consultants and IT teams.

Module 4: IT Platforms and Interfaces

The IT Platforms and Interfaces course focuses on managing and optimising IT systems and data flows in businesses. Students learn to analyse and implement IT platforms, design specifications and evaluate technologies for master data management and system integration. The course also covers practical skills in API management, enterprise architectures and different service models (SaaS, PaaS, IaaS), concluding insights into industry-specific platforms. Modern interface technologies along with legacy integration provide an important foundation for management decisions.

Module 5: AI Management I

This course establishes the foundations of technical literacy required for AI, with a primary focus on Data Science. Students will explore the principles of AI algorithms, neural networks, and the structured data solutions that underpin them. Through practical workshops, they will engage with business intelligence tools, data architectures, and methods for data classification and segmentation essential for developing AI applications. Students will also be introduced to Big Data ecosystems, data governance, and analytical methodologies designed to ensure data reliability and integrity. Furthermore, the course examines core management strategies for AI-driven digital transformation. This includes lifecycle management frameworks such as MLOps and AIOps, as well as the economics of AI. Data privacy and ‘Responsible AI’ serve as critical pillars, addressing the essential aspects of ethics, governance, and regulatory compliance within AI management.

Module 6: Business Process Management

The Business Process Management (BPM) module focuses on process-oriented approaches in companies. Students will learn BPM fundamentals, including defining, designing and improving processes. They will use modelling methods to enhance efficiency, quality and flexibility, thereby applying techniques such as simulation and risk analysis. The course covers BPM tools for modelling and automation, their integration with other management disciplines and the cost-effectiveness of BPM investments.

Module 7: Information Security Management

This course teaches students how to safeguard IT systems and data. The course addresses the creating and implementing of Information Security Management Systems (ISMS). You will learn about security threats, data protection laws and privacy regulations. The course covers how to assess risks, create security measures and develop training programmes. You will also learn to design secure systems, implement monitoring and manage security incidents, while becoming familiar with key national and international security standards and frameworks.

Module 8: IT Project and Development Management

The “IT Project and Development Management” course teaches students how to successfully manage IT projects and software development within companies. You will learn essential concepts and tools for designing and planning projects, thereby evaluating different methodologies and project approaches and implementing them effectively. Key areas include requirements engineering, agile methodologies as well as practical skills such as budgeting, quality assessment and documentation. By the end, you will be equipped to handle all stages of IT projects, from the initial design to the final rollout.

Module 9: Research Seminar

The seminar on writing scientific papers in IT equips students to produce high-quality research on recent technologies. Students will explore, analyse and present complex IT topics using various research methods, including source selection, literature reviews and data analysis. The course covers advanced topics like AI, machine learning and Web3 / Blockchain, and helps students develop skills in organising and presenting their research effectively.

Module 10: AI Management II

Equipping students with the vital technical and managerial skills required to implement AI initiatives in today’s business world, this course delivers a solid technical foundation centered on Artificial Intelligence. Students will learn to design and evaluate bespoke corporate AI applications utilizing contemporary architectures, platforms, and machine learning models, including Large Language Models (LLMs). Through the practical application of prompt engineering, students will craft context-sensitive prompts and implement prompt-based automation. With a strong focus on applied AI development, the course centers on building AI agents that automate processes and provide self-optimizing solutions. Students will gain deep insights into how modern AI systems combine data, reasoning, and control mechanisms to create reliable, smart applications. Beyond the technical build, they will delve into AI product management, operating models, and portfolio strategies. Through the analysis of real-world use cases, students will learn to apply structured methods for drafting AI business cases, strategies, and delivery roadmaps that yield measurable results.

Module 11: Project / Practice Module

Students can choose between writing a scientific paper, an eight-week internship with a research project or a semester abroad with a research component. They tackle topics from current or concluded research, as well as linking theory and practice in their reports. The module involves deepening existing knowledge, applying project management methods and working independently or in teams. For the semester abroad option, students write a paper at a partner institution, with the International Office assisting with course selection and credits.

Module 12: Master’s Thesis