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Apply with ZIEL26 by July 30th & secure €1,444 discount + iPad.
Apply by July 30th and use the code ZIEL26 to get a €1,444 discount and a free iPad.
Have you arrived in the digital age? Artificial intelligence is on the rise. Your master's in Applied Artificial Intelligence for Supply Chain Management (M.Sc. 60 ECTS) paves your way to becoming a professional in the implementation of AI: from setting up and managing information and material flows throughout the entire value creation process. Thus, you're involved in the design of AI solutions from raw material extraction to delivery to the end consumer.
Here's how your studies will move you forward:
You'll study the most modern knowledge and methods of applied Artificial Intelligence and can specifically apply them in the field of Supply Chain Management.
You deal intensively with the fundamentals of AI in general.
After your successful completion, you work as a (Senior) Developer – AI in SCM, Specialist / Researcher – AI in SCM or Product Owner – AI Products SCM.
Study flexible
anytime and anywhere with 24/7 online exams, full- or part-time.
Learn innovatively
on your digital campus with your own AI study assistant and multimedia tools.
State-recognized
Benefit from an accredited degree with excellent career prospects.
M.Sc., 60 ECTS credits
Language: en
Full-time or part-time, 100% flexible
Start today with Comfort Start – or start any time on your preferred date
12, 18, 24 months, depending on model Extension possible free of charge
Study programme independent of time & place, no mandatory attendance, innovative study tools available on online-campus, AI study assistant Syntea, exams online or at nearest examination centre
Starting at 449€/month, depending on model
Current discount campaign
Study program is state-approved, accredited & internationally renowned, 60 ECTS - EN: AR-Siegel, ZFU: 1153623
Apply now and start today – or choose your starting date flexibly. You can then test IU for 1 month free of charge. Fees only apply if you decide to continue.
The course is essentially divided into two parts. In the first part, the general basics of artificial intelligence are taught, in the second part, the domain-specific adaptation to Supply Chain Management is covered.
| Module | ECTS credits |
|---|---|
| Machine Learning | 5 |
| Deep Learning | 5 |
| Reinforcement Learning | 5 |
| Inference and Causality | 5 |
| Elective A - Artificial Intelligence in Supply Chain Management | 10 |
| Module | ECTS credits |
|---|---|
| Elective B - AI and its Application in Demand Forecast and Procurement | 10 |
| Seminar: Current Topics in AI | 5 |
| Master Thesis | 15 |
| Module | ECTS credits |
|---|---|
| Elective A | |
| Applied Autonomous Driving | 10 |
| Foundational Computer Vision | 10 |
| Artificial Intelligence in FinTech | 10 |
| AI in Healthcare and Medical Imaging | 10 |
| Natural Language Processing and Voice Assistants | 10 |
| Industrial AI | 10 |
| Artificial Intelligence in Supply Chain Management | 10 |
| AI in E-Commerce, Marketing and Demand Forecast | 10 |
| AI in Healthcare and Medical NLP | 10 |
| AI in Healthcare and Medical Robotics | 10 |
| AI in E-Commerce, Marketing and Analytics | 10 |
| AI in E-Commerce and Customer-centric Marketing | 10 |
| AI and Mastering AI Prompting | 10 |
| Industrial Production Systems | 10 |
| Computer Vision for Production Systems | 10 |
| NLP and its Application in Education | 10 |
| NLP and its Application for Accessibility | 10 |
| Elective B | |
| Functional Security and Computer Vision for Autonomous Systems | 10 |
| Cognitive Computer Vision | 10 |
| Robo Advisory and AI in FinTech | 10 |
| Medical NLP and Medical Robotics | 10 |
| NLP and Innovative Technologies in Education | 10 |
| Modeling in Automation Engineering and Computer Vision for Autonomous Systems | 10 |
| AI and its Application in Demand Forecast and Procurement | 10 |
| AI for Analytics, Personalization and Recommender Systems | 10 |
| Computer Vision and NLP | 10 |
| Advanced Robotics 4.0 | 10 |
| Computer Vision Essentials | 10 |
As a professional in Applied Artificial Intelligence in Supply Chain Management, cross-industry excellent career prospects with lucrative promotional opportunities to a leadership role await you. After graduation, you could work for example as ...

You'll be responsible for the design, planning, and programming of AI-based applications and algorithms to improve and automate processes in SCM. Your tasks involve developing automation solutions for supply chain management, simulating supply chain processes to test and optimise various scenarios, or developing forecasting models to improve inventory management.
You investigate current trends and technologies in the field of AI and evaluate how they can be implemented in the supply chain. Part of your role is to develop and adapt machine learning algorithms and models to enhance predictions, automate processes, and support decision-making processes. These could be predictive models for demand, automated systems for inventory management, or algorithms for optimising transport logistics, for instance.
You're responsible for defining and communicating the vision and strategic orientation for the AI product. You build a bridge between the development teams, stakeholders, and users, and ensure understanding of the product goals and requirements. Your tasks include the creation and prioritisation of the product backlog, identifying and defining requisites, as well as managing product development and the product lifecycle.
Begin today with Comfort Start – or start any time on your preferred date
Free trial month*
Optional semester abroad
Access to MS Office
Opportunities to exchange with teachers and fellow students
Online library with 60,000 E-books and access to Statista
Eduroam internet access at over 20,000 locations worldwide
Study and career coaching
Access to over 14,000 courses and 1,800 video tutorials via LinkedIn Learning
Holiday semesters and free extension for up to 12 months
*The fees for this period only apply if you continue your studies with us.
Do you need help with your decision? Your personal study advisor is happy to help you!
Do you have vocational training or further education, work experience, or have you already studied? We are happy to assess — even before you apply for your distance learning programme — whether and to what extent we can recognise your prior learning: no obligation and 100% online. Simply complete our online recognition form.
Reduce your study duration: Skip individual modules or entire semesters!
Save on tuition fees: For every recognised ECTS point, you save 30 euros.
🤔 Can't find your qualification? No worries! Our form helps you get other qualifications recognised.
🤔 Can't find your qualification? No worries! Our form helps you get other qualifications recognised.
Need help with your recognition application? Our recognition guide brings together all the key information you need.
If you want to take full advantage of our recognition process, make sure to submit your application before the end of your trial month. To reduce your study duration, you can submit your prior learning recognition application at any time — including during your studies. However, a fee reduction can no longer be granted after the trial month has ended.
We make it possible: At IU International University of Applied Sciences you can start your desired study programme - without NC, state-recognised, with or without a general A-level!
Completed undergraduate degree with at least 240 ECTS
Your degree must be from a state or state-approved higher education institution/university
You must have achieved a final grade of at least “satisfactory” or Grade C equivalent to the German grade “befriedigend” in your previous undergraduate degree
Proof of at least one year of qualified professionl experience completed prior to the start of study programme (must be acquired after completion of your undergraduate studies).
Alternatives to the minimum grade (60 ECTS credits)
If you have completed your bachelor's degree with a final grade of "sufficient" or grade D equivalent to the German grade “ausreichend” (up to 4.0), you can still be admitted to a master's or MBA programme. For this, you need:
A bachelor's degree (final grade 3.5 - 4.0) from a state or state-approved higher education institution/university
and
Relevant academic achievements from a master's/MBA programme at a state or state-approved higher education institution/university, relevant to the desired master's/MBA programme with a minimum of 20 ECTS credits or
A relevant completed master's/MBA degree from a state or state-approved higher education institution/university
or
Relevant qualifications outside of academia which can be credited to you such as further education/training at GQF7 level or – for foreign qualifications such as postgraduate diplomas – equivalent to GQF7 level relevant to the desired master's/MBA programme, with a minimum of 20 ECTS credits
Tip: If you apply for recognition, we can review your relevant achievements and, where possible, credit them towards your study programme in a relevant field.
In this 60-ECTS study programme, you must provide evidence of prior knowledge in the areas of Advanced Mathematics, Advanced Statistics and Programming with Python. You can complete the relevant courses with us for free before you start your studies.
Proof of at least one year’s qualified professional experience completed prior to the start of the study programme. (Professional experience must be gained after the completion of your undergraduate studies).
Your professional experience from a successfully completed academic dual study programme in Germany can be considered proof of qualified professional experience for a 60 ECTS master’s programme (if the focus of the professional activity in the dual study programme fits the desired master’s programme).
Depending on your previous education, the following entry options are applicable for the 60-ECTS credits Master’s degree:
undergraduate degree with 240 ECTS: direct access with the proof of one year qualified work experience.
undergraduate degree with 210 ECTS: you can bridge the gap of 30 ECTS with the proof of one year qualified work experience
undergraduate degree with 180 ECTS: you can bridge the gap of 60 ECTS with the proof of two years qualified work experience Recognition of knowledge and abilities acquired outside of higher education is possible in principle.
The further admission options represent individual cases to the above-mentioned General Admission Requirements and ensure the existence of a corresponding qualification for Master's degree programmes. Admission is at the discretion of the university.
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 6,0 points) or
Duolingo English Test (minimum 95 points) or
Cambridge Certificate (minimum Grade B)
Note: Proof must be provided before starting the study programme and must not be older than five years. Is English your native language, or have you graduated from an English-speaking school or institution of higher education? Then you do not need to prove your English language proficiency. Get in touch with our study advisors for more details.
*IU International University of Applied Sciences may accept other language certificates for English B2 (CEFR) at their discretion.
For the 60-ECTS programme, we offer you the opportunity to qualify for a Master's programme even without a Bachelor's degree: through many years of professional experience as a manager or expert.
Prerequisites for admission are:
General admission requirements
(High school) diploma or
Completed vocational training of at least 2 years (DQR level 4) with a technical reference to the desired study programme
Professional experience
At least 6 years of professional experience related to the desired study programme, including at least 3 years of management responsibility or expert work: Proof is provided by further training and / or advanced training certificates (DQR level 6), job references, letters of reference, confirmation from employer or similar.
Passed preparatory module at the IU
The preparation module* at the IU International University (IU) comprises two parts:
Seminar paper (approx. 40 pages), completion time: 12 weeks (full-time)
30-minute oral examination
* The preparatory module can only be taken at the IU. If you start the Master's programme at IU on the basis of this preparatory module, it is not possible to transfer to another university within the Master's programme.
Apply now and start today – or choose your starting date flexibly. You can then test IU for 1 month free of charge. Fees only apply if you decide to continue.
Information on study content & electives
Information on career prospects
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Soziale Arbeit (B.A.)
Stefanie
Sehr empfehlenswert
Insgesamt ein super Studium, ich bin sehr zufrieden und fühle mich rundum gut betreut und aufgehoben. Es wird sich viel Mühe um die Zufriedenheit der Studenten gegeben und auch die Dozenten sind super nett und engagiert. Man kann jederzeit Fragen klären und hat immer einen Ansprechpartner der einem weiterhilft. Ich würde jederzeit wieder an der IU studieren und kann es nur weiterempfehlen!
Posted on 22.05.2026 on fernstudiumcheck.de
Angewandte Psychologie (B.Sc.)
Albena
Flexibilität im Fernstudium neben dem Beruf
Ich habe bisher sehr gute Erfahrungen im Fernstudium ‚Angewandte Psychologie‘ gemacht. Besonders gut gefällt mir die Flexibilität bei der IU, weil ich neben dem Studium zu 100 % arbeite. Ich kann selbst entscheiden, wann und wie viel ich lerne. Sehr zufrieden bin ich auch damit, dass ich keinen Druck habe, wann ich mit dem Studium fertig sein muss, und dass ich kostenlos verlängern kann. Dadurch kann ich das Studium besser mit meinem Berufsleben vereinbaren.
Posted on 20.04.2026 on fernstudiumcheck.de
International Management (M.A.)
Djo
Bin ein großer Fan der IU
Ich bin ein großer Fan der IU und habe dort in letzter Zeit unglaublich viel gelernt. Die Möglichkeiten, die Studierenden geboten werden – insbesondere im Fernstudium – sind sehr vielfältig und flexibel. Dadurch macht das Lernen nicht nur Spaß, sondern lässt sich auch hervorragend in den Alltag integrieren. [...] Für mich gehört die IU zu den besten Anbietern für Fernstudiengänge in Deutschland. Ich kann sie aus voller Überzeugung jederzeit weiterempfehlen.
Posted on 03.06.2026 on fernstudiumcheck.de