Data Science Management (BSc)
Building Smart Data Solutions
Do you want to use the world of data to improve society and businesses?
Are you fascinated by correlations and patterns found through data analysis? Are you fascinated by the future created by artificial intelligence?
Do you want to recognise moods from speech or predict errors in smart Internet of Things devices before they occur?
If you find this exciting and would like to contribute to it with your valuable contributions and ideas, then choosing our Data Science Management degree programme is the right choice for you.
In practical study projects, you will develop skills to comprehend, design and market intelligent solutions. Learning in group work is fun at the HNU and challenging content is easier to memorise. Our blended learning concepts enable you to learn flexibly. Studying with deepened practical experience is also possible with us. Our international university partners enable you to spend an integrated semester abroad in a country of your choice. The focus of this interdisciplinary programme is on practice-oriented studies in the field of data science with a focus on management, digitalisation and innovation.
Note: The Bachelor's degree programme Data Science Management (B.Sc.) will no longer be offered from the winter semester 2024/25 and will be discontinued. The successor programme is called Artificial Intelligence and Information Management (BSc).
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
The Bachelor's degree programme Data Science Management (B.Sc.) will no longer be offered from the winter semester 2024/25 and will be discontinued. It is therefore no longer possible to apply for the programme.
About the programme
Structure of the programme
Schedule
1st semester
- Orientation: Data Science 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
- Data Science Ecosystems
- Self and team management
- Business English 2: Presenting and Analysing 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
- Natural Language Processing and Text Mining
- Scientific work and research methods
- Focus 1
6th semester
- Data Science Cases, Ethics and Privacy
- Deep Learning
- Seminar paper
- Focus 2
7th semester
- Elective subjects
- Bachelor thesis
- Bachelor seminar
Special features
By combining Data Science and Management, alumni are able to pursue a management career with a professional foundation as well as a professional career. The academic foundations created can be further expanded through a Master's degree with a focus on data science or management. The breadth of the content offered in the Data Science Management degree programme should therefore be particularly emphasised, in addition to the required subject-specific depth. From the 5th semester onwards, individual focal points can be flexibly selected from many offers.
Career prospects
Job examples for the DSM degree programme are:
- Data Scientist
- Business Analyst
- Product Manager:inor Product Owner
- IT Consultant
- Trainer for business intelligence tools
- IT Project Manager:in for digital transformation projects
- Digital Transformation Manager.
In addition, you also have the opportunity to study even further, the degree programme qualifies you for an academic career within the framework of a Master's programme.
Language of instruction
The language of instruction in this degree programme is German. Occasionally, lectures may be held in English, e.g. when using guest lecturers from abroad.
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
All study documents
Curriculums
Study and examination regulations
- Studien- und Prüfungsordnung (ab 01.03.2024)
(opens in a new window)Studien- und Prüfungsordnung vom 24.07.2021 in der Fassung vom 05.02.2024 - Studien- und Prüfungsordnung (28.07.2023-29.02.2024)
(opens in a new window)Studien- und Prüfungsordnung vom 24.07.2021 in der Fassung vom 18.07.2023 - Study and Examination Regulations (dated 24.07.2021 as amended on 28.03.2023)
(opens in a new window)Studien- und Prüfungsordnung DSM vom 24.07.2021 in der Fassung vom 28.03.2023 - Study and Examination Regulations (dated 24.07.2021 version from 28.04.2022) (DE)
(opens in a new window)Studien- und Prüfungsordnung DSM vom 24.07.2021 in der Fassung vom 28.04.2022 - Study and Examination Regulations (dated 24.07.2021 - valid from start of study WS 2021/22) (DE)
(opens in a new window)Studien- und Prüfungsordnung DSM vom 24.07.2021 - Kurzuebersicht_DSM.pdf
(opens in a new window)
General examination regulations
Degree programme flyer
Voices about the degree programme
