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Artificial Intelligence

Earn an MBA in Artificial Intelligence and lead the way in a rapidly evolving and powerful field. Shape future businesses with managerial expertise in AI, driving tech innovation, financial success, and the transformation of industries.

Start your online MBA in Artificial Intelligence

The Artificial Intelligence revolution is already here. Companies and managers now make everyday business decisions based on input from machine learning tools and AI-powered reporting platforms, and many business operations are now automated and carried out by AI services.

Along with the clear benefits that this development offers companies, such as saving time and money, there are still many open questions regarding the successful and smooth implementation of these tools alongside a human workforce.

That’s where you, as a graduate with an MBA in Artificial Intelligence, come into the picture. With the unique combination of managerial expertise, technological understanding and familiarity with business ethics that you’ll gain from this MBA in Artificial Intelligence, you’ll be ready to lead teams in various AI-related projects. Now is the perfect time to join this rapidly growing industry, that’s in need of capable new managers.

Your degree summed up

All the facts and figures about your study programe at a glance

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Online Study Model Degree

Master of Business Administration (MBA)
90 ECTS credits

Language
English

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Accreditation & Recognition

Accreditation
Accredited in line with German and European standards
ZFU 153413c
90 ECTS credits - English

Recognition
Your degree is Internationally recognised and can easily be transferred to another country

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Study Duration

Study start
any time

Duration
18 - 36 months (depending on time model)

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MBA in Artificial Intelligence Subjects

Here's what you can expect in your online MBA in Artificial Intelligence:

MBA in Artificial Intelligence Focus:

  • Start with general management and business principles.
  • Advance to address social and economic AI challenges in business.
  • Enhance managerial knowledge for tackling new challenges.

In-Depth Exploration:

  • Studying cognitive processes and natural language processing from a chat perspective is crucial for machine learning and AI.
  • Gain practical skills using diverse AI tools within a simulated business environment.

Post-Graduation Proficiency:

  • Analyse and assess AI tool functionality.
  • Tailor AI elements to diverse business needs after completing your MBA in Artificial Intelligence program.

Entry requirements

The admissions documents must be provided in English or German. If they were not issued in one of these two languages, a translation is required. If you need to translate your documents, we can help refer you to our trusted translation partners. 

  • Completed, undergraduate degree with 180 ECTS credits
  • Your degree must be from a state or state-recognised higher education institution/university
  • You must have achieved a final grade of at least “satisfactory” or Grade C equivalent in your previous undergraduate degree
  • Proof of at least one year’s professional work experience completed prior to the start of study programme. Work experience must have been gained after completion of your undergraduate studies


  • Proof of at least one year’s qualified work experience completed prior to the start of the study programme (the work experience must be gained after the completion of your undergraduate studies).
  • You can provide us a translation of your employment contract and your pay slip or you can ask your company to fill out this form in English, sign it, apply the company stamp and send it to us:


Apply for the online Degree Saver programme and receive a discount on your tuition fees. 

Please get in touch with our Study Advisory Team for more details. 

Depending on your personal circumstances, you might be required to provide proof of your English language proficiency. Your skills would need to match the B2 level of the Common European Framework (CEF). 

We accept the following English language skills certificates*: 

  • TOEFL (minimum 80 points)* or 
  • IELTS (minimum Level 6)* or 
  • Duolingo English Test (minimum 95 points)*
  • PTE Academics (minimum 59 points)* or
  • Cambridge Certificate (minimum Grade B)* 

Is English your native language, or have you graduated from an English-speaking school or university? Then you do not need to prove your English language proficiency. 

Get in touch with our study advisors for more details. 

*Proof must not be older than five years.

Your MBA in Artificial Intelligence Career Opportunities

<p>IU's online MBA in Artificial Intelligence is designed to help you <strong>succeed in uniquely challenging positions in an industry </strong>that breaks new ground each day. After graduating, your career opportunities are…</p>

AI Team Lead

Oversee the training and development of AI specialist teams, and help them overcome challenges and reach their full potential. As an AI team lead, you’ll need to use all of your technological knowledge and managerial skills to deal with the everyday responsibilities of leading a highly-skilled AI department. Whether it’s hiring, quality assurance or project coordination, your proficiency will be tested, and you’ll be a crucial mediator between various stakeholders involved in a project’s development.

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AI Interaction Designer

How can humans and AI-powered tools work together efficiently? This question is one of the biggest challenges facing managers these days, as new technological developments are incorporated into factories and production lines worldwide. As an AI interaction designer, you’ll be responsible for designing a work environment that deals with this challenge successfully.

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Machine Learning Expert

Machine learning experts are tasked with building and developing new technologies in the field of data science, most specifically new applications for machine learning. You’ll work on deep learning or natural language processing (NLP) projects, where you will be responsible for planning, developing, implementing, and tracking the performance of complex analysis and learning algorithms. Work alongside product developers and IT experts, to ensure that your technological contributions support business goals and initiatives.

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Recognition of previous achievements

  • Save time: Skip individual modules or whole semesters!

Even before you apply for a study programme, we’ll gladly check whether we can take your previous achievements into account: 100% online, no strings attached. Simply fill in our recognition application form, which you can find under the content section of each study programme's webpage, and upload it via our upload section. You can also e-mail it to us, or send it via post.

Send an email to find out which previous achievements you can get recognised. You can get your previous achievements recognised during your studies.


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