Applied Artificial Intelligence (B.Sc.)
FOM Hochschule für Berufstätige · Düsseldorf, Germany
QS World University Ranking: N/A
Quick Overview
Apply Now📘 Program Overview
Künstliche Intelligenz anwenden – und die digitale Zukunft gestalten. Der Bachelor-Studiengang Applied Artificial Intelligence (B.Sc.) richtet sich an alle, die in Vollzeit studieren und moderne KI-Technologien in Unternehmen professionell einsetzen möchten.
Im Studium eignest du dir umfassende Kenntnisse in Big Data, maschinellem Lernen und AI Engineering an. Du lernst, wie KI-Lösungen analysiert, entwickelt und strategisch in Unternehmensprozesse integriert werden, und das im Campus+ Modell mit Präsenz in Düsseldorf plus virtuellen Formaten.
🎯 Course & Curriculum
Course structure
- Foundations & Programming
- Communication & Machine Learning
- Security & Databases
- Applied AI Development and Implementation
- Trends & Applications of AI
- Professional Profile Development, Bachelor Thesis and Oral Defence
Curriculum
The six-semester curriculum covers programming and AI foundations, machine learning, cybersecurity and databases, practical AI implementation, current AI applications and a final Bachelor Thesis with oral defence. FOM publishes 32 ECTS for each of the first five semesters and 20 ECTS for the final semester.
| Semester | No. of modules | Module / subject category | ECTS / CP | Semester total |
|---|---|---|---|---|
| Semester 1 | Foundations and programming | Foundations & Programming | 32 | 32 |
| Semester 2 | Communication and machine learning | Communication & Machine Learning | 32 | 32 |
| Semester 3 | Security and database technologies | Security & Databases | 32 | 32 |
| Semester 4 | Applied AI development and implementation | Applied AI Development and Implementation | 32 | 32 |
| Semester 5 | Current AI trends and applications | Trends & Applications of AI | 32 | 32 |
| Semester 6 | Professional profile and final degree assessment | Professional Profile Development, Bachelor Thesis and Oral Defence | 20 | 20 |
| Total | Six semesters covering AI foundations, programming, machine learning, security, databases, practical AI applications, professional development and the Bachelor Thesis | 180 ECTS | ||
Career outcomes
- You graduate with an applied AI bachelor that positions you for roles in AI/data analysis and AI solution development in German companies that are actively adopting AI.
- You build practical competency in areas like big data and machine learning, helping you contribute to end-to-end AI engineering tasks rather than only theory.
- Your project work prepares you to develop, evaluate, and integrate AI solutions into business processes, which aligns with how employers describe real AI projects in practice.
- Because you study in a Campus+ model combining on-site and virtual learning, you develop professional learning habits and communication skills suited to modern distributed IT teams.
- The degree creates a strong pathway into further specialist study (for example, a master’s), so you can progress toward senior AI engineering, analytics, or product-focused tracks over time.
Employability rate
Applied Artificial Intelligence (B.Sc.) graduates in Germany typically see an employability rate of around 82% and an unemployment rate of about 18%, reflecting strong hiring demand alongside competitive recruiting for junior roles.
Overall, this indicates a stable outlook when you back your degree with project experience and practical AI/data skills demanded by employers.
✅ Entry Requirements
Academic qualification
| Requirement | Details |
|---|---|
| Higher education entrance qualification (foreign-equivalent) | You must hold an entry qualification that allows admission to a university degree programme, such as an equivalent to German Abitur/Fachabitur or a qualification recognised as equivalent for university entrance (foreign qualifications may be assessed by the university during admission). |
| English B2 and German B2 for international applicants | You need English at B2 level, with proof to be submitted no later than the end of the first semester. For international study interests, German at B2 level is also required. |
Module matching by study area
| Study area | Match possible? | Conditions |
|---|---|---|
| Computer Science & IT | Direct match |
Language requirements
For international applicants to this Bachelor programme, English skills are required at B2 level. If you are an international applicant (studying from abroad), German knowledge at B2 level is also required, and the evidence must be provided by the end of the first semester for English.
💶 Fees & Funding
| Item | Amount | Notes |
|---|---|---|
| Tuition | EUR 25020 / per year | Tuition fees are 25,020 EUR payable in 36 monthly instalments of 695 EUR. |
| Enrollment fee | EUR 420 / one time | A one-off enrolment fee of 420 EUR applies. |
| Examination fee | EUR 500 / one time | A one-off examination fee of 500 EUR is due at the end of the degree programme (with registration for the final thesis; it may be re-calculated if the thesis is repeated). |
Proof of financial resources
International applicants typically need to show proof of sufficient funds for living costs and tuition-related obligations as part of the German study visa process. The exact amount depends on your visa authority guidance and current requirements.
- Blocked account or other official financial proof amount required for a German student visa
- Bank statement or equivalent proof if required by your visa authority, based on the current official guidance
Important dates
Application window
| Milestone | September - Winter intake |
|---|---|
| Application portal opens | N/A |
| Application deadline (final submit) | N/A |
| Application deadline (EU students) | N/A |
| Application deadline (Non-EU students) | N/A |
| Recommended apply-by | N/A |
| Semester begins | N/A |
Pre-application & reviews
| Milestone | September - Winter intake |
|---|---|
| VPD request - recommended | N/A |
| VPD result expected | N/A |
| APS - recommended | N/A |
| Start eligibility check | N/A |
Document submission deadlines
| Milestone | September - Winter intake |
|---|---|
| Application submission deadline | N/A |
| Document submission deadline (EU students) | N/A |
| Document submission deadline (Non-EU students) | N/A |
| Language certificate deadline | N/A |
| Official transcripts deadline | N/A |
| Certified translations deadline | N/A |
| Postal / hard-copy documents deadline | N/A |
| Missing documents (if requested) | N/A |
📝 How to Apply
Submit your online application
Complete the official online application for the Applied Artificial Intelligence B.Sc. programme during the published application period. Upload your required documents, including your higher education entrance qualification for international applicants and your language evidence if available. After submission, follow any requests from the admissions team to finalise your file.
Provide proof of English and German language skills
Ensure you meet the programme requirement of English at B2 level and provide proof no later than the end of the first semester. For international study interests, also prepare German B2 evidence as required for admission. Keep copies of your certificates so you can upload them promptly if requested.
Review and admission decision
The university checks whether your foreign qualification is sufficient for university admission. If anything is missing or unclear, you may be asked to clarify your documents before a final decision. Respond within the requested timeframe to avoid delays.
Prepare for enrolment and visa steps (if needed)
After receiving your admission decision, prepare for enrolment at the start of the programme. If you are applying from abroad and need a student visa, use the admission decision and follow Germany’s official student visa guidance. Start visa planning early so you can meet enrolment timelines.