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University of Applied Sciences Neu Ulm

Neu-Ulm

Ar­ti­fi­ci­al In­tel­li­gence and Da­ta Ana­ly­tics

Subjects: Artificial Intelligence and Data Analytics,Artificial Intelligence,Data Science,Data Analytics,Data

M.Sc. | Master of Science

⏳  Duration
3 Semesters
🔠 Teaching Language
English
💶  Application Fee non-EU
No information

💶  Cost per Semester
72 EUR

💶  Tuition Fees per Semester
No information
⏱️ Application Deadline Summer
No information

⏱️ Application Deadline Winter
15.07.

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 information
Cost per Semester 72 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
No information
⏱️ Application Start Winter
02.05.

⏱️ Application Deadline Winter
15.07.

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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,
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