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83.Neu-UlmUniversityofAppliedSciences
University note
GRE NEEDED
- Neu-Ulm University of Applied Sciences
apply from: https://campus.hnu.de/qisserver/pages/cs/sys/portal/hisinoneStartPage.faces
Neu-Ulm University of Applied Sciences (HNU) – M.Sc. Artificial Intelligence and Data Analytics (AIDA)
Program Overview
| Field | Details |
|---|
| University | Neu-Ulm University of Applied Sciences (HNU) |
| Degree | Master of Science (M.Sc.) |
| Program | Artificial Intelligence and Data Analytics (AIDA) |
| Faculty | Information Management |
| Language of Instruction | English |
| Start of Studies | Winter Semester (210 ECTS)
Summer Semester (International students with 180 ECTS only) |
| Duration | 3 semesters (90 ECTS) or 4 semesters (120 ECTS) |
| ECTS | 90 / 120 |
| Application Portal | HNU Online Application Portal |
| Admission | No Numerus Clausus (Approval-free) |
Program Highlights
- Fully taught in English
- Business-oriented Artificial Intelligence programme
- Strong focus on Machine Learning, Natural Language Processing, and Data Analytics
- Combines AI, Data, Management and Research
- Practice-oriented curriculum
- Applied AI Capstone Project
- Industry-oriented education
- Optional semester abroad
- No tuition fees
Curriculum Structure
The programme consists of four major pillars:
- Applied AI
- Data
- Management
- Research
Each pillar contains 2–3 modules.
The programme concludes with:
- Applied AI Capstone Project
- Master's Thesis
- Colloquium
Core Modules
First Semester
- Applied AI Lab 1: Agentic AI Fundamentals
- Management Lab 1: Assets and Transformations
- Data Lab 1: Data Analytics Fundamentals
- Management Lab 2: Strategy and Governance
- Data Lab 2: Data Visualization and Communication
- Research Lab 1: Information Systems Research
Second Semester
- Applied AI Lab 2: Deep Learning and Computer Vision
- Applied AI Lab 3: Natural Language Processing
- Data Lab 3: Data Platforms and Pipelines
- Research Lab 2: Academic Writing
- Elective Modules
Examples of electives:
- Robotics Fundamentals
- Enterprise Application Engineering
- Cyber Security Management
- Business Application Re-Engineering
- Online Trust & Safety
Third Semester
- Applied AI Capstone Project
- Master's Thesis
- Colloquium
Admission Requirements
Applicants must hold a Bachelor's degree in one of the following (or a closely related field):
- Business Informatics
- Computer Science
- Information Management
- Comparable discipline
Academic Requirements
210 ECTS Applicants
Applicants with a 210 ECTS Bachelor's degree complete the standard 90 ECTS (3-semester) programme.
180 ECTS Applicants
Applicants with a 180 ECTS Bachelor's degree complete the 120 ECTS (4-semester) programme.
The additional semester includes:
- German for Academic Studies
- Integrated Skills: Academic English
- Intercultural Skills
- Research Skills
- Two subject-specific modules
Alternative Path for 180 ECTS Applicants (Lisbon Convention Universities)
Instead of the additional semester, applicants may bridge the missing 30 ECTS by providing one of the following:
- Co-authorship of an English research publication
- At least 6 months of relevant full-time professional experience after graduation
- Additional university coursework worth 30 ECTS
GRE Requirement
Applicants holding a Bachelor's degree from a university outside the Lisbon Convention must submit a GRE General Test.
Minimum GRE scores:
| Section | Minimum Score |
|---|
| Verbal Reasoning | 153 |
| Quantitative Reasoning | 153 |
| Analytical Writing | 4.0 |
GPA Requirement
Minimum German grade:
English Language Requirement
Applicants must demonstrate:
Accepted proofs are listed by the university.
German Language Requirement
International applicants must provide:
The certificate must be submitted by the time of enrollment, not necessarily during application.
Application Deadlines
Winter Semester
210 ECTS Applicants
2 May – 31 August
Non-EU Applicants
2 May – 15 July
Summer Semester
International Applicants with 180 ECTS Bachelor's Degree
15 November – 15 January
The Summer intake is only available to international applicants holding a 180 ECTS Bachelor's degree.
Application Process
Applications are submitted through the HNU Online Application Portal.
Applicants should:
- Create an account.
- Complete the online application.
- Upload all required documents.
- Submit before the deadline.
Required Application Documents
Applicants should prepare:
- Bachelor's degree certificate
- Official transcript
- Passport / ID
- Proof of English language proficiency
- Proof of German language proficiency (A2 by enrollment)
- GRE score (if required)
- Additional supporting documents (if applicable)
Tuition Fees
Students only pay the mandatory semester contribution.
Career Opportunities
Graduates are prepared for careers such as:
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Data Scientist
- Data Analyst
- Business Intelligence Specialist
- Business Analyst
- AI Consultant
- Information Management Specialist
- IT Consultant
- Research Engineer
Graduates work at the intersection of:
- Artificial Intelligence
- Data Analytics
- Business Intelligence
- Information Management
- Digital Transformation
International Students
The HNU International Office provides support with:
- Student visa
- Accommodation
- Health insurance
- Funding opportunities
- Working in Germany
- Exchange programmes
Important Notes
- No tuition fees
- Approval-free programme (No Numerus Clausus)
- GRE is mandatory for applicants from universities outside the Lisbon Convention
- Minimum GRE: 153 Verbal, 153 Quantitative, 4.0 Analytical Writing
- Minimum GPA: 2.5
- English: B2
- German: A2 (required by enrollment)
- Winter intake: 210 ECTS applicants
- Summer intake: International applicants with 180 ECTS only
Official Sources
- Artificial Intelligence and Data Analytics (M.Sc.)
https://www.hnu.de/en/studies/degree-programmes/masters-programmes/artificial-intelligence-and-data-analytics-msc
- Application for International Students
https://www.hnu.de/en/studies/application/
https://www.hnu.de/en/international/