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University of Applied Sciences Neu Ulm
Neu-Ulm
Artificial Intelligence & Data Analytics
Subjects: Artificial Intelligence;Data Science;Data Analytics
M.Sc. | Master of Science
Course description
What exactly is “big data”? How can data analytics bring us closer to our customers? How do you start a data analytics project? In the Artificial Intelligence and Data Analytics programme at HNU, you will learn to transform a business into a “data-based enterprise.” This means turning vast, complex data sets—known as “big data”—into actionable insights for making informed business decisions. You’ll explore how data analytics can be applied in various fields such as marketing, logistics, controlling, and customer relationship management. This program equips you with the skills to convert overwhelming amounts of data into valuable knowledge, driving fact-based strategies and operations. By mastering these techniques, you’ll be able to enhance customer relationships, optimize supply chains, and improve overall business performance. The curriculum covers essential subjects that prepare you to tackle real-world challenges and leverage data for strategic advantage. Join us at HNU to gain the expertise needed to navigate and excel in the data-driven landscape of modern business.
Program Information
| Study Location | Neu-Ulm |
| Start Semester | Winter |
| Study Form | Full-time |
| Study Type | Postgraduate |
| Teaching Language | English |
| Dual | No |
| Remote | No |
| Application Fee non-EU | No information |
| Study Length | 3 Semesters |
| Tuition Fees per Semester | No Tuition Fee |
| Cost per Semester | 72.0 EUR |
Step 2 - Check Application Requirements
Application Requirements
Language Requirements
| CEFR | No information |
| IELTS | No information |
| Cambridge (CAE) | No information |
| TOEFL IBT | No information |
English B2
Qualification Requirements
Completed university studies with at least 210 ECTS (University degree does not reach 210 ECTS) Grade 2,5 or better A total of 25 ECTS from the areas of object-oriented programming, database systems, IT management, business administration, mathematics and statistics, each amounting to at least 5 ECTS from a previous higher education programme. English B2 For international applicants: German A1 The programme is approval-free
Application Process
| Acceptance Interview | No |
| Acceptance local admission restrictions | Not restricted |
| Application |
directly at the University, uni-assist with VPD |
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