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Information on study content & electives
Information on career prospects
Information on financing options




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.
You want to conquer the world of data? We have just the thing for you! Our 120 ECTS master’s programme is for holders of a related bachelor’s degree with a knack for innovation and anything digital.
How your studies get you ahead:
You hone your skills in data evaluation and analysis, e. g. in stock analysis, autonomous systems and language and text recognition.
You dive deep into sought-after areas such as machine learning, deep learning and current methods of data science.
You prepare for management positions in IT.
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., 120 ECTS credits
Language: en
Full-time or part-time, 100% flexible
Start today with Comfort Start – or start any time on your preferred date
24, 36, 48 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 316€/month, depending on model
Current discount campaign
Study program is state-approved, accredited & internationally renowned, 120 ECTS - EN: AR-Siegel, ZFU: 1110020c
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.
In your master’s programme in Data Science, you focus on recent developments in software and infrastructure engineering as well as big data technologies. Practice-oriented project modules allow you to gain insights into actual working life. Courses such as Machine Learning and Deep Learning teach you how to recognise patterns in data and use the results of your analyses to increase the revenue of your company. You become an expert on data in the private as well as the public sector and develop high level data applications and systems.
| Module | ECTS credits |
|---|---|
| Data Science | 5 |
| Programming with Python | 5 |
| Advanced Mathematics | 5 |
| Advanced Statistics | 5 |
| Use Case and Evaluation | 5 |
| Project: Data Science Use Case | 5 |
| Module | ECTS credits |
|---|---|
| Advanced Research Methods | 5 |
| Machine Learning | 5 |
| Deep Learning | 5 |
| Seminar: Data Science and Society | 5 |
| Electives A | 10 |
| Module | ECTS credits |
|---|---|
| Electives B | 10 |
| Electives C | 20 |
| Module | ECTS credits |
|---|---|
| Master Thesis | 30 |
| Module | ECTS credits |
|---|---|
| Electives A - (Es sind 10 ECTS-Points zu wählen) | |
| IT Project Management | 5 |
| Project: Technical Project Planning | 5 |
| Data Engineering | 5 |
| Project: Data Engineering | 5 |
| Business Intelligence | 5 |
| Project: Business Intelligence | 5 |
| Seminar: Current Topics in Data Science | 5 |
| Explainable and Interpretable Machine Learning Models | 5 |
| Electives B - (Es sind 10 ECTS-Points zu wählen) | |
| Leadership | 5 |
| Strategic Management | 5 |
| Global Brand Management | 5 |
| Sales and Pricing | 5 |
| International Consumer Behavior | 5 |
| Applied Marketing Research | 5 |
| Corporate Finance | 5 |
| Advanced Corporate Finance | 5 |
| Change Management & Organizational Development | 5 |
| Innovation and Entrepreneurship | 5 |
| NLP and Computer Vision | 5 |
| Advanced NLP and Computer Vision | 5 |
| Architectures of Self-Driving Vehicles | 5 |
| Case Study: Localization, Motion Planning and Sensor Fusion | 5 |
| Reinforcement Learning | 5 |
| Inference and Causality | 5 |
| Modeling in Automation Engineering | 5 |
| Internet of Things | 5 |
| Artificial Intelligence | 5 |
| Project: AI Excellence with Creative Prompting Techniques | 5 |
| Manufacturing Methods Industry 4.0 | 5 |
| Project: Data Science for Industry 4.0 | 5 |
| Advanced Requirements Engineering | 5 |
| Seminar: Ethic & Societal Considerations in Data Management | 5 |
| Seminar: Sustainability, Ethics, and Law in Machine Learning | 5 |
| Electives C - (Wenn du dich für das Praktikum entscheidest) | |
| Internship: Master AI, Machine Learning and Data Science | 20 |
| Electives C - (Wenn du dich für die vier Module entscheidest) | |
| Cyber Security and Data Protection | 5 |
| Big Data Technologies | 5 |
| Software Engineering for Data Intensive Sciences | 5 |
| Case Study: Model Engineering | 5 |
Did you know? During your studies, you’ll have the opportunity to take our new AI elective*. It will teach you everything you need to know about AI and prepare you for tomorrow’s professional world.
*You can find more information in your module handbook.

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 180 ECTS in the field of data science, computer science, mathematics or statistics
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 professoinal experience completed prior to the start of study programme (must be acquired after completing your undergraduate degree).
Alternatives to the minimum grade (120 ECTS credits)
If you have completed your bachelor's degree with a 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 program. For this, you need:
A bachelor's degree (grade 3.5 - 4.0) from a state or state-approved higher education institution/university
and
Relevant study 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 40 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 40 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.
Exception: To be admitted to the master's programme in Architecture (120 ECTS credits), you must have completed your undergraduate degree with a final grade of at least "good” or grade B equivalent to the German grade "good" (up to 2.5).
If you have completed your Bachelor's degree with a grade of “Adequate” (up to 4.0), you can still be admitted to a Master's or MBA program. For this you need:
A Bachelor's degree (grade 3.5 - 4.0) from a state or state-recognized university AND
Relevant coursework from a Master's/MBA at a state or state-recognized university, suitable for the Master's/MBA you are aiming for, amounting to at least 40 ECTS points
OR
A relevant completed Master's/MBA from a state or state-recognized university
OR
Relevant creditable non-university qualifications such as further education/training at DQR7 level or - in the case of foreign qualifications such as postgraduate diplomas - equivalent to DQR7 level, suitable for the Master's/MBA you are aiming for, amounting to at least 40 ECTS points
Tip: You can also have these relevant achievements checked and, if necessary, have them credited or recognized by us for your subject-related studies by applying for recognition.
Exception: For admission to the M.A. Architecture program (120 ECTS credits), the undergraduate degree must still have been completed with a minimum grade of “good” (2.5).
Translated with DeepL.com (free version)
Is your undergraduate degree not in the required subject field for the 120 ECTS programme's admission requirements? You can still apply! You'll have to take 2 specific courses from your study programme and successfully complete them before you can start your studies.
Recognition of knowledge and abilities acquired outside of higher education is possible in principle.
The alternative admission requirements represent individual exceptions to the aforementioned General Admission Requirements and ensure that you are qualified to access a master's degree programme. Admission is granted at the discretion of the institution.
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.
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
Information on financing options
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