- Master in just 2 semesters full-time study or part-time study
- interesting specialisations, such as in Classical and Agile Project Management or in Design Thinking
- Distance learning with few exams and many alternative forms of assessment
- 3 central pillars in the Fresenius distance learning program: studynet, studymag and studycoach
Enrolment Requirements

Entering the Master of Management in Artificial Intelligence program at Hochschule Fresenius is straightforward: A bachelor's degree with at least 240 ECTS credits and a focus on business or (information) technology is required.
If you have a bachelor's degree with a focus on business, it should include at least 25 credit points from the areas of general business administration, marketing, accounting, economics, or strategic management. If you have a bachelor's degree with a focus on information technology, it should include at least 25 credit points from the areas of basics of information technology, operating systems and computer architectures, information management and modeling, databases, or IT security.
Alternatively, you can also be admitted if you have a degree with less than 240 ECTS or if you have a degree in a different field.
- If your first degree includes 240 ECTS credits, you can be admitted if you can demonstrate at least 1 year of relevant work experience.
- If your first degree includes 210 ECTS credits, you can be admitted if you can demonstrate at least 1.5 years of relevant work experience.
- If your first degree includes 180 ECTS credits, you can be admitted if you can demonstrate at least 2 years of relevant work experience.

Study Contents, Modules, and Specializations
This master's program is designed for graduates with a focus on business studies or (information) technology. In just 2 semesters of full-time study or in part-time study, you will intensively engage with the research field of artificial intelligence, with intelligent computer systems, and with digital transformation.
In full-time study, the course structure looks as follows:
- 1st Semester: Fundamentals of Economics, Fundamentals of Information Technology, Change Management and Digital Leadership, Digital Transformation, Methods and Applications of AI, Machine Learning, Scientific Work, Research Colloquium AI
- 2nd Semester: Deep Learning, Classic and Agile Project Management or Digital Business Modeling or Design Thinking or Product and Process Management, Master's Thesis
Study Concept and Process

We are convinced that exams in the form of written tests are not suitable for adequately reflecting the skills you have actually acquired. Therefore, in this degree program, you will hardly find any written exams in test form. We test your learning progress continuously and online through assignments, online presentations and speeches, or in so-called e-portfolios. For you, this means: No travel effort for exams and less exam stress - and thus a fair chance of excellent performance evaluations that correspond to your actual knowledge and skills.
Maintaining a balance between study, work, and life poses a major challenge. Therefore, the support in this pivotal phase of your life is all the more important: the backing of your family, the understanding in your company, and above all, the personal and consistently service-oriented support from your university. That's why we rely on a unique interdisciplinary coaching team consisting of professors, lecturers, and study coaches. Your personal study coach is your contact person for all matters relating to your studies. Whether by phone, email, or via the messenger in studynet - your study coach advises and actively supports you on your path to a successful degree. Together, we create the necessary balance and therefore the prerequisite for you to continually grow in your studies - achieving something that initially seemed so distant.
Whether at home or on the go, on desktop, laptop, tablet or smartphone - your campus is always with you. Our studynet learning platform is at the same time an auditorium, seminar room, campus, and cafeteria. "Social Learning" is the keyword: a holistic learning experience that consistently relies on dialogue in addition to using a variety of different media formats.
For example, with many features that you already know from your familiar social media platforms: Connect with each other and exchange via the messenger. Stay up to date with the Activity Board, your onlineplus Timeline. And find out in your personal Learning Analytics what you have accomplished and where you stand. At the kick-off studycamp, at the open learning camps, and at optional further events on-site, we create opportunities to deepen and expand your contacts from the world of onlineplus. This way, you experience an active learning community that accompanies you throughout your studies and will also be a valuable network for you beyond that, as an alumni of Fresenius University.
At onlineplus, studying is a method. Structure and pacing characterize the learning organization at onlineplus, providing clear orientation and fundamentally differentiating itself from conventional distance learning programs. You start flexibly at a time you have chosen and are guided through similar structured learning units, modules, and semesters based on our study magazines, the studymags, via individually planned milestones.
This way, you learn in manageable stages that provide regular feelings of success and new motivation in your studies. The recommended study plan by onlineplus allows you the flexibility of numerous adjustment options that you can tailor to your individual learning style, preferred study times, and your own pace. This way, you will find exactly the study program that suits you.
Throughout, you have full transparency: At any time, you see your individual learning progress, what you have already achieved, where you currently stand, and precisely what lies ahead of you. The innovative and intuitive study form thus lays the foundation for the feasibility and success of your entire online study.

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