Generative AI models are making their way into communication, project management, administration, and analysis. Whether it's language models like ChatGPT, data-driven decisions, or intelligent automation - Artificial Intelligence is fundamentally changing professions, processes, and requirements. According to the XING Labor Market Report 2024, industries affected are not only IT and engineering but also sectors like media, education, marketing, and the public sector. In-demand is profound knowledge - transcending disciplinary boundaries.

A part-time distance learning programme offers an academic opportunity for this:

• There is no single "AI Master" - programmes differ significantly in their focus.
• From Data Science to Business Analytics to societal and legal aspects - courses emphasize different areas that can be utilized for individual objectives.
• AI distance learning courses cater to not only IT professionals - entrepreneurs, media and business experts, as well as humanities, social, and cultural scientists can benefit.
• Flexible learning models, practical relevance, and internationally recognized master's degrees make distance learning a viable option for working professionals - without interrupting their careers.

The following seven master’s programmes showcase how diverse continuing education opportunities can be - and how different target groups can benefit from them.

All 7 courses in a compact overview

For working professionals who want to further qualify alongside their jobs, a Master's degree programme in Artificial Intelligence offers a flexible and future-proof option. In the following overview, you will find seven selected master's programmes distinguished by different focuses, durations, and university profiles.

7 Top Distance Learning Masters in detailed comparison

Each Master’s programme brings its own thematic focus, structural peculiarities, and admission requirements. The following profiles help you systematically compare the offerings and find a program that aligns with your individual goals.

Applied Artificial Intelligence - Institute for Collaborative Studies NRW

The Institute for Collaborative Studies coordinates, as a central scientific institution, the work-accompanying and training-accompanying study programmes at several universities of applied sciences in North Rhine-Westphalia. It offers extensive consulting and services for students and teachers.

The details of the Applied Artificial Intelligence programme:

• Degree, Duration, ECTS & Language: Master of Science (M.Sc.), 6 semesters (part-time), 120 ECTS, German
• Prerequisites: Completion of a bachelor's degree in an engineering, natural science, business science, or applied mathematical field is required.
• Target Group: The course is aimed at professionals who want to specialize in AI applications in industrial and technological environments. In particular, technicians, engineers, and IT experts benefit from this practice-oriented further education.
• Contents & Focus Areas: Basics of Artificial Intelligence, Programming for AI, System Software, Machine Learning, Data Analysis and Visualization, Database Programming, Software Engineering, Deep Learning, Fairness in AI, Database Systems, Natural Language Processing, Big Data Processing, Legal Issues of AI.
• Special Features: Part-time study format with high flexibility through online components and on-site phases at partner universities.

Artificial Intelligence - IU International University

The IU International University is the largest private university in Germany and offers flexible online study models for working professionals and students worldwide. Over 130,000 enrolled students benefit from the university's modern digital learning platforms.

The details of the Artificial Intelligence programme:

• Degree, Duration, ECTS & Language: Master of Science (M.Sc.), 2 semesters (full-time) or 3-4 semesters (part-time), 60 ECTS, English
• Prerequisites: First degree (bachelor) with at least 180 ECTS in computer science, engineering, or related fields. Participation in preparatory courses is possible if content knowledge needs to be demonstrated. English proficiency at level B2 (CEFR) is required.
• Target Group: Professionals or graduates who want to develop and integrate AI applications practically in companies. Particularly suitable for those interested in Deep Learning, Data Science, and AI system architectures.
• Contents & Focus Areas: Artificial Intelligence, Programming with Python, Advanced Mathematics, Advanced Statistics, Machine Learning, Advanced Research Methods, Deep Learning, Continual Learning with Neural Networks.
• Special Features: Compact 60 ECTS Master's programme for a quick start in the AI environment, 100% online studyable, flexible exam dates.

If you want to delve deeper into Machine Learning, you will find an attractive alternative in the specialized Master "Machine Learning" at IU International University:

Machine Learning - IU International University

This programme is also offered by IU International University and is specifically aimed at technology-oriented students who want to develop and optimize complex AI models.

The details of the Machine Learning programme:

• Degree, Duration, ECTS & Language: Master of Science (M.Sc.), minimum 4 semesters (full-time), 120 ECTS, English
• Prerequisites: Completed bachelor's degree in computer science, mathematics, or related disciplines. English proficiency at level B2 (CEFR) is required.
• Target Group: Professionals and graduates who want to deepen algorithmic basics and develop complex machine learning projects. Ideal for future data scientists and machine learning engineers.
• Contents & Focus Areas: Advanced Mathematics, Advanced Statistics, Programming with Python, Data Science, Machine Learning, Deep Learning, Reinforcement Learning, NLP and Computer Vision, Advanced Data Science and Big Data Technologies, Software Engineering for Data-Intensive Sciences, Research Methods.
• Special Features: In-depth focus on statistical and algorithmic methods, practical projects, and international orientation.

Artificial Intelligence - AKAD University

AKAD University is one of the oldest private distance learning universities in Germany. Specialised in digital distance learning, it tailors its study programmes to meet the needs of working professionals. With a wide range of courses in technology, business, and IT, it offers practice-oriented content with a high degree of flexibility.

The details of the Artificial Intelligence programme:

• Degree, Duration, ECTS & Language: Master of Science (M.Sc.), 4 semesters (full-time) or up to 8 semesters (part-time), 120 ECTS, German
• Prerequisites: Completed first degree in computer science, business informatics, or a related field. With a different technical qualification, the course is possible through a propaedeutic course.
• Target Group: Working professionals with IT or technical backgrounds who want to specialize in AI, with a focus on developing and using intelligent systems in business and technology.
• Contents & Focus Areas: Mathematics for AI, Data Science, Basics of Artificial Intelligence, Neural Networks, Machine Learning, Deep Learning, Software Development for AI Systems, Language and Image Recognition, Ethics and Law of AI, AI Project Work, Research and Development Methods.
• Special Features: Flexible study structure with individual scheduling, high practical relevance through projects and online workshops, focus on technical and systemic competencies in AI.

AI & Business Analytics - FOM University

FOM University for Economics & Management, headquartered in Essen, is one of the largest private universities of applied sciences in Europe. State-recognized and practice-oriented, it is tailored to working professionals. With over 50 campuses and digital study formats, it is represented throughout Germany.

The details of the AI & Business Analytics programme:

• Degree, Duration, ECTS & Language: Master of Science (M.Sc.), 4 semesters (part-time), 120 ECTS, German
• Prerequisites: University degree with at least 180 ECTS, of which at least 40 ECTS in (business) informatics, or any university degree with relevant work experience (e.g., in software development or IT administration). Current employment is required.
• Target Group: Professionals from IT, technology, or business who want to apply AI methods for data-driven decision-making in companies. Particularly suitable for specialists and executives with an analytical focus.
• Contents & Focus Areas: Intelligent Systems, Basics of Machine Learning, Change & Innovation, Research Methodology in STEM Subjects, Application Fields of Business Analytics, Data Engineering, Sustainability, MLOps, NLP, Text Algorithms and Language Models, Architecture and Process Management, Modern AI Applications, AI Consulting Project.
• Special Features: Part-time study model with live online teaching, strong practical relevance through projects and expert talks, focus on the economic use of AI in companies.

Artificial Intelligence and Societies - Media University

Media University (formerly Hochschule für Medien, Kommunikation und Wirtschaft - HMKW) is a state-recognized private university with campuses in Berlin, Cologne, and Frankfurt am Main. It offers practice-oriented degree programmes focused on media, design, and society. The key aspects of the teaching concept are international exchange and the use of digital learning formats.

The details of the Artificial Intelligence and Societies programme:

• Degree, Duration, ECTS & Language: Master of Arts (M.A.), 4 semesters, 120 ECTS, English
• Prerequisites: Completed university studies, relevant professional experience, fluent English skills (recommended level: at least B2), good internet connection; ideally also access to digital or 360-degree cameras and VR hardware (e.g., Meta Quest 2).
• Target Group: Humanities, social and cultural scientists, and creative professionals who want to explore the ethical, cultural, and social implications of AI - especially in the cultural and media industries.
• Contents & Focus Areas: History and Basics of AI Technologies, Ethics and Society, AI and Cultural Economics, AI Technology and Society, AI and Applied Computer Science, AI and Virtual Reality for Creative Industries, AI Media Project, Internship.
• Special Features: Interdisciplinary focus on cultural and social aspects of AI, strong practical relevance through media projects, integration of VR technologies, individual course design with digital tools.

Master of Management in Artificial Intelligence - Fresenius University

Fresenius University is one of the oldest private universities in Germany, offering flexible online study programmes through its “onlineplus” department. The digital study model combines structured learning units with modern tools like the study platform studynet and personal support through study coaches.

The details of the Master of Management in Artificial Intelligence programme:

• Degree, Duration, ECTS & Language: Master of Management in Artificial Intelligence (MMAI), 2 semesters (full-time) or possible part-time, 60 ECTS, German
• Prerequisites: Bachelor's degree with at least 240 ECTS in business or information technology orientation. Alternatively, admission by individual examination if there is a different previous course of study.
• Target Group: Professionals and managers who want to focus specifically on the strategic and organizational use of AI - for example, in management, corporate development, or product strategy.
• Contents & Focus Areas: Economics Fundamentals, Information Technology Fundamentals, Change Management and Digital Leadership, Digital Transformation, AI Methods and Applications, Machine Learning, Deep Learning, Classical and Agile Project Management, Digital Business Modelling, Design Thinking, Product and Process Management, Scientific Work, AI Research Colloquium, Master's Thesis.
• Special Features: Strong management-oriented focus, alternative exam formats instead of traditional exams, modern digital learning environment, specializations in Generative AI, ChatGPT, Design Thinking, etc.

Target Groups Overview: Who Actually Benefits from an AI Distance Learning Programme?

Artificial Intelligence is no longer a niche topic - it permeates numerous fields and disciplines. Therefore, the target groups that can benefit from a part-time Master's in AI are just as diverse. Depending on the educational background and professional perspective, different skill profiles and motivations for which a specialized distance learning programme is particularly useful can be identified.

• Executives with a strategic interest in AI: For executives in companies shaping digital transformation processes, a solid understanding of Artificial Intelligence is crucial. An AI Master's programme provides not only technological basics but also strategic and ethical implications to embed data-based decisions effectively in business processes. This is particularly relevant for leadership positions in IT, innovation, business development, and change management.
• Professionals with IT or technical backgrounds: Professionals from computer science, engineering, or technical vocational fields benefit greatly from academic specialization in AI. Distance learning allows for systematic expansion of existing knowledge - in areas like machine learning, data analysis, or neural networks. A Master's degree can be the lever for the next career steps for software developers and data engineers.
• Career changers with a business background: Economists or business economists dealing with digital business models and data-driven corporate management can also benefit from specializing in AI. Master's programmes with a business orientation - such as in Business Analytics or AI-supported management - create a bridge between technological understanding and business application.
• Humanities, social, and cultural scientists: The societal relevance of AI creates new roles for professionals outside traditional STEM disciplines. Individuals with backgrounds in the humanities, social sciences, or cultural studies can combine their analytical skills with technological knowledge - especially when it comes to ethical assessments, legal frameworks, or the impacts on media, culture, and the public. Interdisciplinary programmes like "Artificial Intelligence and Societies" provide a suitable environment for this.

Moreover, these programs can also appeal to those increasingly dealing with data-driven systems, automation, or digital interfaces within their current roles - for example, in education, healthcare, or the public sector. The breadth of target groups illustrates: Artificial Intelligence has become a cross-cutting issue that touches almost all professional fields and societal areas.

Why an AI Master's Degree Makes Sense in Distance Learning

The technological advancement in the field of Artificial Intelligence is progressing rapidly - and so is the demand for qualified professionals who can understand, apply, and further develop AI. For many professionals, distance learning is the most practical option to academically educate themselves while working and acquire current competencies at the same time.

• Flexibility for Professionals: Distance learning programs offer maximum temporal and spatial independence. Learning phases can be individually designed, and exams can often be taken online - ideal for individuals with demanding professional or family obligations.
• Up-to-dateness and Practical Relevance: Many AI programs are closely aligned with current technical developments and integrate practical projects. This makes them suitable for both immediate entry into the job and for the next career step.
• Academic Qualification with a Future: A master's degree in Artificial Intelligence creates a solid foundation for leadership roles, specializations, or even scientific career paths - for example, in a research or development environment.
• International Connectivity: Many programs are designed in English and follow internationally recognized standards. This opens up perspectives in the global job market.

Conclusion: AI Education for Tomorrow's Career

Artificial Intelligence is considered the key technology of the 21st century - with implications for nearly all industries, fields of activity, and professions. The presented master's programs in distance learning cover a wide range: from technical deepening to economic application to societal-ethical reflection.

Thus, they offer practical, academic further education options for very different target groups. Whether you come from IT, business, or social and human sciences - for many professional profiles, an AI master's degree can provide the crucial impetus for specialization, reorientation, or further development.