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Industrial Data Analytics & Künstliche Intelligenz (M.Sc.)

Industrial Data Analytics & Künstliche Intelligenz (M.Sc.)

FOM Hochschule für Berufstätige · Germany

QS World University Ranking: N/A

Quick Overview

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Duration
2 Years
🎓
Degree
Master of Science (M.Sc.)
📍
Campus
Digital Live (FOM Studios); on-campus sessions at cooperation sites in Germany
📚
Total credits
60 ECTS
📅
Intake
March - Summer intake
September - Winter intake
🗓️
Start date
March 01, 2026
September 01, 2026
Admission restriction
Restricted
🗣️
Teaching language
English

📘 Program Overview

Industrial Data Analytics & Künstliche Intelligenz (M.Sc.) helps you increase industrial value creation with smart data analytics and AI. The programme is designed for professionals and managers in industrial environments and is delivered in cooperation with RWTH Aachen and TH Köln.

You deepen your understanding of data management and learn how to implement AI applications efficiently in a study format described as a digital live programme with streamed lectures and on-campus sessions. The workload is 60 ECTS points, completed over two semesters plus a thesis, and the degree is awarded as a Master of Science (M.Sc.).

🎯 Course & Curriculum

Course structure

Digital live teaching and applied analytics
  • You deepen your understanding of data management and learn to implement AI applications efficiently.
  • You analyze data from machines, processes, and products and assess its quality.
  • You work with common AI software solutions and learn how digital twins are used in production.
  • You attend modules delivered together with RWTH Aachen and TH Köln, including onsite components.
Master Thesis
  • You complete the program with a thesis after the two-semester study phase.
  • The thesis consolidates your applied knowledge in industrial data analytics and AI for implementation-ready outcomes.

Career outcomes

  • You qualify for demanding industrial roles around data analytics, AI, and digital transformation, including positions such as Data Scientist, AI specialist, or digital transformation project lead.
  • You build job-ready skills to implement AI applications efficiently and to evaluate data quality for industrial production data.
  • You gain practical learning through applied analytics themes that connect machine, process, and product data with quality assessment and AI solution design.
  • You strengthen your credibility for industry stakeholders through the program’s cooperation with RWTH Aachen and TH Köln and the onsite module delivery at their facilities.

Employability rate

Graduates of industrial data analytics and AI related master programs in Germany typically see an employability rate of around 88% and an unemployment rate of about 12%, reflecting continued hiring demand for data- and AI-skilled specialists in industry.

Together, these figures point to a stable career outlook with reliable opportunities for roles in data analytics, AI implementation, and digital transformation.

✅ Entry Requirements

Academic qualification

RequirementDetails
First university degree and professional experienceInternational applicants need a first university degree (Master level, or alternatively Bachelor level under conditions stated for this program). The program also requires an active/current job and professional experience; for a Master entry, at least one year of professional experience after the degree is required.
Bachelor entry (credit conditions) and professional experienceApplicants with a Bachelor degree can be admitted only under the ECTS/Leistungspunkte conditions published for this program: start is possible with at least 240 ECTS (including at least one year of professional experience after the degree). If you have 210 ECTS, up to 30 ECTS can be compensated via additional qualifications; if you have 180 ECTS, you additionally need the FOM preparation course “Methodenlehre” and a minimum total of two years of professional experience, including at least one year after the first qualifying university degree.

Module matching by study area

Study areaMatch possible?Conditions
Computer Science & ITDirect matchThe program focuses on industrial data analytics and AI; applicants should be able to show relevant academic and/or professional background consistent with data analytics and AI.

Language requirements

The program is taught in German. International applicants must be able to follow teaching and assessments in German.

💶 Fees & Funding

ItemAmountNotes
TuitionEUR 10800 / total programTotal tuition fees for the program are published as 10,800 Euro, payable in 18 monthly instalments of 600 Euro.
Semester feeEUR 0 / per semester
Immatriculation feeEUR 1590 / one timeOne-time enrolment fee: 1,590 Euro, payable in 6 monthly instalments of 265 Euro within the first semester.
Examination feeEUR 850 / one timeOne-time examination fee: 850 Euro, due at the end of the program.

Proof of financial resources

To study at FOM, international applicants need to plan for tuition and additional one-time study charges. The program page lists the study fee total and the registration and exam fees.

  • Tuition/study fees total: 13,240 EUR for the whole program (18 monthly installments of 600 EUR, plus additional one-time fees).
  • Immatrikulation (enrolment/registration) fee: 1,590 EUR (payable in 6 monthly installments of 265 EUR, as stated for this program page).
  • Examination fee: 850 EUR (payable at the end of the program, as stated for this program).

Important dates

Application window

MilestoneMarch - Summer intakeSeptember - Winter intake
Application portal opensN/AN/A
Application deadline (final submit)N/AN/A
Application deadline (EU students)N/AN/A
Application deadline (Non-EU students)N/AN/A
Recommended apply-byN/AN/A
Semester beginsMarch 01, 2026September 01, 2026

Pre-application & reviews

MilestoneMarch - Summer intakeSeptember - Winter intake
VPD request - recommendedN/AN/A
VPD result expectedN/AN/A
APS - recommendedN/AN/A
Start eligibility checkN/AN/A

Document submission deadlines

MilestoneMarch - Summer intakeSeptember - Winter intake
Application submission deadlineN/AN/A
Document submission deadline (EU students)N/AN/A
Document submission deadline (Non-EU students)N/AN/A
Language certificate deadlineN/AN/A
Official transcripts deadlineN/AN/A
Certified translations deadlineN/AN/A
Postal / hard-copy documents deadlineN/AN/A
Missing documents (if requested)N/AN/A

🎓 Scholarship

ProviderScheme nameCoverageEligibility notes
DAADEPOS — Development-Related Postgraduate CoursesTuition fees, monthly stipend, travel allowance, health insuranceEPOS supports postgraduate study in Germany for applicants from eligible developing countries, for development-related master’s degrees. Applicants apply via the relevant postgraduate course and scholarship process listed in the DAAD EPOS framework.

📝 How to Apply

1

Check eligibility for international applicants

Review the published admission conditions for this Master’s degree, especially the required degree level and the professional experience requirement. If you have a Bachelor degree, confirm that your ECTS/credit total matches one of the published options and that you can provide any additional qualifications needed for credit compensation. Also ensure you meet the program’s study language expectations since teaching is in German.

2

Prepare your documents for online application and assessment

Gather your academic documents (degree certificate and transcripts/mark sheets) and any information needed to show your ECTS/credits total. If you are applying with a Bachelor under the published credit compensation route, prepare supporting evidence for the additional qualifications you plan to use. If your documents are in another language, make sure you have them ready in the format requested by the university during application.

3

Submit your online registration/application

Submit your application/registration online via FOM’s official application entry for the program you selected. Complete all required fields and upload the requested documents during the process. After submission, follow any university requests for missing or updated documents to keep your application on track.

Application opens
N/A
Application Deadline
N/A
Semester begins
March 01, 2026
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❓ Frequently Asked Questions