English 
Deutsch 
Requirements and Target Group
The Master's programme in Management in Artificial Intelligence is aimed at working professionals and graduates with an academic background in business administration, information technology, or related fields who aspire to leadership roles in the areas of digitisation and artificial intelligence. It particularly targets individuals who drive change and innovation processes in companies, consultancies or start-ups and wish to specialise in the design, implementation or management of AI technologies. The course is also suitable for professionals seeking targeted further qualification for strategic roles at the interface of management and technology – for example as digital strategists, project managers, product managers or consultants.
What formal admission requirements must you meet?
To be admitted to the Master of Management in Artificial Intelligence at Hochschule Fresenius, the following regulations apply:
- University degree (Bachelor, Diplom, Magister) in a relevant subject area with at least 180 ECTS credits
- Proof of at least 25 ECTS in business-related subjects (e.g. business administration, accounting, economics, marketing, strategic management) or in (information) technology subjects (e.g. information technology, operating systems, databases, IT security)
- If the first degree includes fewer than 240 ECTS:
• With 210 ECTS: at least 1.5 years of subject-specific professional experience
• With 180 ECTS: at least 2 years of subject-specific professional experience - Alternatively: with university entrance qualification, completed vocational training, at least 2 years of relevant professional experience and passed aptitude test, admission is possible on a case-by-case basis
- If applicable, additional proof of English skills at least at B2 level
- A motivation letter may be requested as part of the application
The regulations of Hochschule Fresenius apply for the recognition of professional qualifications and possible crediting of achievements. In cases of differing prior education, individual supplementary qualification possibilities are offered.
You should have an interest in economic, technical and social issues in the context of artificial intelligence. Analytical thinking skills, strong problem-solving abilities as well as the willingness to learn new digital tools and methods are advantageous. Independent work in online study, good time management and the ability to work reflectively in teams are essential for academic success. Prior knowledge of programming or data science is helpful but not a mandatory requirement.
Study Content in Detail
The Master's programme Management in Artificial Intelligence at Hochschule Fresenius provides you with fundamental and advanced knowledge on the application and management of artificial intelligence (AI) in the digital corporate environment. Key study contents include methods and applications of AI, machine learning, deep learning as well as the basic structure of artificial neural networks. You analyse network architectures and learning procedures and get to know important fields of application such as image and speech recognition, autonomous systems, and automatic data generation.
Additionally, you engage with digital transformation, change management and digital leadership, enabling you to specifically shape change within companies using AI tools. You acquire solid foundations in economics and information technology, complemented by the development of scientific working methods in the context of AI.
In the elective area, you choose one of three specialisations to align your studies with your career goals:
- Classical and agile project management
- Digital business modelling
- Design thinking
In the final module, you write a practice-oriented master’s thesis in which you practically address a current topic in AI.
How Does the Distance Learning Course Work?
The Management in Artificial Intelligence programme is organised as a flexible distance learning course. You can choose between a study period of 2 semesters (full-time) and up to 4 semesters (part-time). The study contents are available to you around the clock via a digital learning platform, allowing you to learn independently and with flexible timing. Exams are offered online and can also be taken flexibly. Support is provided by personal study coaches and experienced lecturers who assist you online. You can start your studies on the 1st of any month.
Career Prospects: What Can You Do with the Degree?
As a graduate of the MMAI, career opportunities open up in the digital transformation of companies. You can evaluate, implement and integrate AI solutions in the management context into corporate strategy. Typical fields of application include:
- Strategic planning and digitalisation of business processes
- Change management and leadership of digitalisation projects
- Development, evaluation and sales of AI-based products
- Corporate and organisational consulting with a focus on AI innovations
- Project management in IT or digitalisation departments
The degree furthermore qualifies you for leadership roles in the fields of data science, business intelligence and for independent consulting. With the scientific foundation acquired, pursuing a doctorate is also possible.
Place of Study: Where Do You Learn?
The programme is conducted entirely online. You do not need to be physically present at any of the Hochschule Fresenius campuses. All organisation, teaching, support and exams are carried out via digital platforms.
As an enrolled student, you are networked through Hochschule Fresenius and have access to digital libraries and learning resources. Digital study advisory and support services are available for questions and guidance.
Costs and Financing
For the distance learning programme Management in Artificial Intelligence at Hochschule Fresenius, tuition fees start at 455 euros per month. The university offers various time models that you can choose flexibly – shorter study periods increase the monthly rates, while longer durations reduce them accordingly.
The tuition fees include:
- All digital study materials, e-books and scripts
- Access to the online library and the learning platform
- Personal support from study coaches and lecturers
- Examination fees for online exams
Various options are available to finance your studies:
- BAföG – also possible for distance learning under certain conditions
- KfW student loan or education loan from the federal government
- Scholarships, e.g. the Deutschlandstipendium or internal university programmes
- Support from your employer within the framework of personnel development
- Tax deductibility – tuition fees can, under certain conditions, be claimed as work-related expenses or special expenses
Hochschule Fresenius regularly offers discount promotions that can further reduce the monthly fees. The study advisory service will be happy to inform you about current offers and individual financing options.
Lade…
Advisory Service
Have questions about Academic Programs Management in Artificial Intelligence? Ask your question here, even anonymously. An employee of the institution Fresenius University of Applied Sciences or the editorial team will answer you.
Hi Dave,
The Master of Management in Artificial Intelligence at Hochschule Fresenius is listed as a German-language distance-learning programme. The official brochure also states “Sprache: Deutsch”. There might be a fair share of English language contents which requires applicants to provide according (B2-level) English skills. But if you are looking for a fully English-taught master’s, this programme is probably not the right fit.
The original English programme title and some module titles aside, most of the information here is a translation of the German infos and should not be read as meaning that the teaching, exams or supervision are available in English.
Your business background, however, can be relevant for admission. According to the current information, applicants should have a first academic degree with a business-related or IT-related focus. For the business route, Hochschule Fresenius mentions at least 25 CP in areas such as general business administration, marketing, accounting, economics or strategic management. The programme also requires professional experience; the exact requirement depends on your previous degree and credit points.
For you as a digital project manager, the content itself looks thematically suitable: the programme covers AI technologies, digital transformation, change management, digital leadership, project management, digital business modelling, machine learning and deep learning. It is designed for people who want to work at the interface of business, technology and AI-driven transformation.
Before applying, I would pay attention to these points:
1. The programme language is German — so you might need to provide proof of German language proficiency to some degree (probably CEFR B2 or C1).
2. Ask admissions to check your transcript, especially whether you meet the required business-related credit points.
3. Clarify how your project management experience counts as relevant professional experience.
4. Check whether you need to provide English skills at B2 level, as this is mentioned in the admission information even though the programme itself is German-language.
5. Ask whether any additional documents, modules or preparatory steps are needed in your individual case.
If a fully English-taught AI AND management master’s AND distance learning is your main priority, it might proof a bit complicated. I’d recommend comparing alternatives in a chat with our virtual study advisor Sophie:
https://www.privathochschulen.net/en/questions/chat
Hi Nico! Here’s a direct rundown for you:
1. English availability: The Master of Management in Artificial Intelligence at Hochschule Fresenius is primarily offered in German, but key parts of application and content info are also listed in English. For admission, you may need to show B2 English skills. To be 100% sure if all study content, exams, and supervision can run completely in English, I’d double-check directly with the university’s admissions team for clarity.
2. Study from Essen or Bonn with zero on-site attendance: Yes, you can study fully remotely. The programme is a distance learning course handled entirely online – including all teaching, organisation, support and exams. No presence days required, so location is irrelevant.
3. Fit for business & tech management: The content and electives target exactly that interface. There’s focus on project management, digital business modelling, digital leadership, classic and agile project management, plus hands-on modules such as generative AI and design thinking. It’s built for professionals moving into roles at the crossroads of business strategy and AI tech.
If English delivery is your must-have, the only pending check is to clarify with Hochschule Fresenius whether every module and exam can be 100% taken in English. Happy to help you reach out to them or guide you to the right contact!
If you want alternatives, more peer stories or specific info on career paths, let me know what’s most relevant for you.
What’s your main priority: full English language, study flexibility, or the business/AI blend?