Ar­ti­fi­cial in­tel­li­gence and In­form­a­tion Man­age­ment (BSc)

Start of programme
Winter semesters
Language of instruction
German and English
Programme duration
7 full-time semesters, 210 ECTS
Degree
Bachelor of Science

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.

Note: This degree programme is the former Data Science Management (B.Sc.) degree programme.

Ad­mis­sion and 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 peri­ods

Winter semester: 02.05. – 15.07.

The programme is only offered in the winter semester.

Ap­plic­a­tion portal

Please use the application portal by the above deadlines to apply to this programme.

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.

Language of instruction

The degree programme is taught in German and from the 5th semester also in English.

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)".

Con­tact

Stefan Faußer

Pro­fessor Dr. Stefan Faußer

Academic advisor and head of the degree programme

Phone: +49 731 /9762-1517

Location: Main Building A, A.1.43

De­part­ments of Stud­ies & Ex­am­in­a­tion

Contact for application and admission

All study doc­u­ments

Also of in­terest:

Prac­tical pro­jects by stu­dents

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At HNU, you apply your theoretical knowledge directly in practical projects with companies. Find out more about interesting practical projects by students at HNU.

In­ter­na­tional Of­fice

The International Office supports your intention to spend a period of their studies abroad and also offers support services for international students at the HNU.

360° tour of the HNU

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Explore the HNU digitally in our digital 360° tour! Take your time to look around our campus, visit our lecture rooms, laboratories and other rooms and learn exciting insights about studying at HNU!

Voices about the de­gree pro­gramme

IT is always equated with nerds and complex lines of code. But of course that's not the case, the profession is very diverse. I see very good opportunities in this field to gain a foothold in the professional world, to bring a little more female content into the still very male IT sector. I am definitely looking forward to tackling challenges in the IT environment with the knowledge I gained during my studies.

Nicola, Student of the programme