Artificial intelligence and Information Management (BSc)
Development and IT management of innovative products with artificial intelligence
- Would you like to use data to improve our society and companies?
- Do you want to recognize complex emotions from spoken language?
- Do you want to predict errors in Internet of Things devices before they occur?
- Are you fascinated by the future created by artificial intelligence?
If you find this exciting and would like to contribute to it with your valuable input and ideas, then the degree programme at Neu-Ulm University of Applied Sciences is the right choice for you.
Practical study projects form your foundation for developing, understanding and marketing smart solutions. Our seminar-based courses in attendance or blended learning formats allow you to learn flexibly. An integrated semester abroad at one of our international partner universities is also possible, depending on your choice. The focus of this interdisciplinary degree program is on practice-oriented studies in the fields of artificial intelligence, data science, information management, software engineering, cyber security and digital transformation.
The degree programme combines the exciting world of artificial intelligence with the diverse aspects of business informatics.
In the renowned CHE University Ranking 2026/27 (opens in a new window), the degree programme achieved an overall rating of 4.3 out of 5 stars and is ranked among the top programmes.
Note: This degree programme is the former Data Science Management (B.Sc.) degree programme.
What are you interested in?
About the programme
Structure of the programme
Schedule
1st semester
- Orientation: Artificial intelligence and information management
- Business Decisions
- Applied Statistics and Mathematics
- Business English 1: Understanding and Questioning Information
- Project on object-oriented programming
- Design and use of databases
2nd semester
- Digitalisation of business processes
- Artificial intelligence infrastructures: structure and use
- Self and team management
- Business English 2: Presenting and Analyzing Data
- Case studies in object-oriented design
- Algorithms and data structures
3rd semester
- Data Visualization
- Machine Learning
- Software Engineering and Cooperative Project Management
- Software Engineering Project: Practical Application of Theory
- Orientation: Focal points and practical semester
4th semester
- Practical semester
- Bootcamp: Completion of practical semester
5th semester
- Big Data Analytics
- Natural Language Processing and Text Mining
- Scientific work and research methods
- Focus 1
6th semester
- Artificial Intelligence Cases, Ethics and Data Privacy
- Deep Learning and Computer Vision
- Seminar paper
- Focus 2
7th semester
- Elective subjects
- Bachelor thesis
- Bachelor seminar
Special features
From the 5th semester onwards, students on the Artificial Intelligence and Information Management course can flexibly choose from a wide range of individual specializations such as Information Systems Management or Industry 4.0. In addition, the course offers a unique combination of Artificial Intelligence and Management.
Career prospects
Graduates take off as:
- Developer for artificial intelligence systems
- Data Scientist
- Business Analyst
- Data Scientist
- Product Product Manager or Product Owner
- IT Consultant
- Trainer for business intelligence tools
- IT project manager for digital transformation projects
- Digital Transformation Manager.
You also have the option of continuing your studies. The course qualifies you for an academic career as part of a Master degree programme.
Contributions and fees
There are no tuition fees. A semester fee (administrative fees and solidarity fee) is charged per semester. Information on this can be found on the page "HNU - Fees and Re-registration (opens in a new window)".
Study documents
Module handbooks
- Modulhandbuch KIM 20242 Stand: 19.03.2025
(opens in a new window)Modulhandbuch KIM 20242 Stand: 19.03.2025 - Modulhandbuch_KIM.pdf
(opens in a new window)
Study and examination regulations
- Studien- und Prüfungsordnung Künstliche Intelligenz und Informationsmanagement (gültig ab 01.03.2027)
(opens in a new window)Studien- und Prüfungsordnung für den Bachelorstudiengang Künstliche Intelligenz und Informationsmanagement vom 05.02.2024 in der Fassung vom 19.05.2026
General examination regulation
- Current general examination regulations
(opens in a new window)Current general examination regulations - Aktuelle Allgemeine Prüfungsordnung (gültig ab 10.02.2025)
(opens in a new window)Aktuelle Allgemeine Prüfungsordnung (gültig ab 10.02.2025)
Requirements & Application
Admission requirements
- At least an entrance qualification for higher education in universities of applied sciences in Bavaria
- For international applicants: German language skills on level B2
- The programme is approval-free
Application
You can apply for the degree programme in our application portal within the application deadlines:
Voices about the degree programme
I always thought you had to be especially technical in order to turn data into real value. My previous Studies in Business Information Management at the university, however, felt too theoretical and I missed the practical element. In the KIM programme, I found the exact combination of management and computer science that fits me. I particularly appreciate the practical focus: students are given time, support and space to experiment and gather real experience early on. If you don’t just want to listen but also want to put ideas into practice yourself, this is exactly where you should be.
Contact
Questions?
Our smart AI chatbot StudiAssist will quickly help you with any questions about the degree programme.
If you need further support or advice beyond this, simply send us a message.
Program coordinator & head of the degree programme:
Prof. Dr. Stefan Faußer
Subject advisor:
Prof. Dr. Dany Meyer
