MSc in Artificial Intelligence and Data Analytics
Transform raw data into actionable business insights with a hands-on AI and analytics master’s programme.
Best for:Best for graduates with a technical background in computer science, engineering, or business administration who want to specialise in AI-driven data analytics for corporate decision-making.
Overview
This three-semester Master of Science programme at Neu-Ulm University of Applied Sciences equips students with the skills to turn big data into strategic business knowledge. Taught entirely in English, the curriculum blends technical modules like deep learning and NLP with business applications in marketing, logistics, and decision-making. Students can spend one or two semesters abroad, gaining international exposure. The programme emphasizes practical, industry-relevant projects and prepares graduates for roles in data-driven enterprises. No prior German language skills are required, though basic proficiency (A2) is needed for administrative tasks.
What you'll do
- Develop and implement AI-driven solutions for business challenges, such as marketing, logistics, and customer relationship management.
- Analyze large datasets to extract actionable insights for strategic decision-making.
- Work on interdisciplinary projects combining technical AI skills with business administration knowledge.
- Conduct independent research for a master’s thesis under academic supervision.
- Participate in optional study-abroad semesters to gain international experience.
- Collaborate with industry partners on real-world data analytics projects.
Requirements
Degree required: Bachelor’s degree (210 ECTS) in computer science, engineering, business administration, or a related field. Applicants with 180 ECTS may apply for a 4-semester programme with additional requirements.
Degree offered: Master of Science (MSc)
Language: English: B2 level (e.g., TOEFL iBT 72, IELTS 5.5, or equivalent). German: A2 level (for administrative tasks).
Instruction: English
- Proven knowledge of object-oriented programming (minimum 5 ECTS).
- Familiarity with database systems (minimum 5 ECTS).
- Understanding of IT management and business administration (minimum 5 ECTS).
- Mathematical and statistical skills (minimum 5 ECTS).
- English proficiency at B2 level (or equivalent).
- Basic German language skills at A2 level (for administrative purposes).
- Applicants with 210 ECTS Bachelor’s degree can apply for the winter semester (deadline: 31 August).
- Applicants with 180 ECTS Bachelor’s degree can apply for the summer semester (international students only).
- Non-EU applicants have a stricter deadline (15 July for winter semester).
- Applicants with 180 ECTS from Lisbon Convention countries may apply with 6 months of relevant professional experience.
- Applicants from non-Lisbon Convention countries must submit a GRE General Test score.
- Minimum grade requirement: 2.5 or equivalent.
Funding & terms
Programme and admissions
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- Intake
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How to apply
Deadline: 2024-05-02 to 2024-08-31 (Winter semester, 210 ECTS); 2024-05-02 to 2024-07-15 (Winter semester, non-EU applicants); 2024-05-02 to 2024-08-31 (Summer semester, 180 ECTS) (Europe/Berlin)
Applicants must submit their application through the university’s official portal. Required documents include a completed application form, proof of degree, transcripts, language certificates (English B2 and German A2), and a CV. Additional requirements may include GRE scores for non-Lisbon Convention applicants or oral exams for specific modules. Applications are reviewed based on academic performance and eligibility criteria.
- Completed application form
- Proof of Bachelor’s degree (official transcript)
- Certified copies of academic transcripts
- English proficiency certificate (B2 level)
- German proficiency certificate (A2 level)
- CV (Curriculum Vitae)
- Proof of GRE General Test (if applicable)
- Letter of motivation (optional, but recommended)
Contact
Application Office· Admissions
+49 731 97622003
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