About the degree programme
Artificial intelligence (AI) is the subject of the present and the future. It penetrates all areas of daily life. Everyone knows by now about autonomous driving and language support, of course, but there are other areas in which it may be employed, including medicine, nursing care, production and even law, to name but a few.
AI is multifaceted, has a wide range of potential uses and requires broad knowledge for its application - this is taught in this degree programme at the Rosenheim University of Applied Sciences!”
Teaching computers - what to expect from studying Applied Artificial Intelligence in Rosenheim
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Companies already need graduates who can quickly and effectively implement AI techniques and technologies in real IT systems and business applications.
In order to be able to transfer the potential of AI into practice in dialogue with the users, students of the Bachelor’s degree programme in Applied Artificial Intelligence gain sound knowledge and acquire skills in software engineering, mathematical know-how as well as comprehensive knowledge in the development of AI systems. In this respect, a particular focus of the degree programme is the mathematical understanding of the fundamentals and the application of the various AI approaches in practice.
In seven semesters, students thus acquire relevant professional competencies from computer science, mathematics, artificial intelligence as well as important key competencies and soft skills. In addition, they learn how to deal with AI in a responsible manner. They are enabled to recognise what AI is allowed to do and what it is not allowed to do and which ethical principles must be observed.
To support individual interests, students can choose from a large number of additional modules: Link to the course structure (more details)
Content in the area of artificial intelligence include machine learning, data science, deep learning, and computer vision.
Mathematical content includes statistics and numerics, among others.
In addition, the curriculum integrates subject-specific elective modules (FWPM) from various disciplines, such as:
Computer Science: Cloud Computing, Internet of Things, Agile Software Development, Mobile Applications, User Experience Design, Computer Networks, Embedded Systems.
Engineering: Robotics, Communications Engineering, Digital Signal Processing, Process Data Engineering, Digital Integrated Circuit Design.
Your practical semester
In order to make the internship semester interesting and successful, it is important to have the right contacts in addition to the information (information sheet on the internship semester). Here you can also find out in which companies students have been able to complete successful internships and, if applicable, projects. Don't forget the necessary requirements, forms and applications.
Legal foundations and information
- Legal basics → see download boxes
Study and examination regulations - rules you need to know
Study plans - explanations of the SPO (study and examination regulations)
Module handbook - with descriptions of all compulsory modules
→ A minimum of 80 CP is required to take FWPM. These will be added to the module handbook in good time.
RaPO, APO etc. (higher-level legislation)
- Notes on the choice of FWPM - recommendations for the individual organisation of the study programme (FWPM = subject-specific compulsory elective modules)
- Notes on AWPM - additional qualifications outside the subject area (general science compulsory elective modules).
→ General information
→ Course overview AWPM
- Organisation of thesis - forms, notes/guidelines, scientific work, templates
Study overview and module handbook
Study and Examination Regulations
Artificial intelligence and digitalisation are certainly among the most important technologies of the future and are the key to success on the labour market. Graduates trained in this field therefore have the best career prospects in all sectors regionally and worldwide. These include digital health, social affairs, building information modelling, production control and energy monitoring.
Regional Best Place
Especially with the proximity to Munich and also in the region around Munich, graduates of the TH Rosenheim have the best conditions for starting a career. Numerous national and international IT companies are located here.
Graduates of the Applied Artificial Intelligence degree programme will spend their professional lives understanding, designing and optimising the cooperation between humans and machines and developing it further. With their expert knowledge, skills and knowledge in the field of artificial intelligence, they will face many exciting, partly newly created job profiles on the labour market. They have the best career prospects in all sectors - regionally and worldwide. Particularly practically trained AI specialists are already offered the best entry and promotion opportunities on the labour market. This also includes the following job profiles and opportunities:
Application and admission
- Course starts: each winter semester
- Admission is only restricted based on language skills (see study and examination regulations or here).
- Application period (international students): 1 April to 15 July
- Online application via the application portal of the Rosenheim Technical University of Applied Sciences
Database on admission requirements
The information that is found in the DAAD database serves as an orientation for international students, but it is not binding for the certification authorities.
Please note that the following information is not legally binding and is only intended to provide an initial overview for your application:
The Bachelor's degree programme Applied Artificial Intelligence (AAI) is admission-free. This means that it does not have an NC. If German is your native language, you only need a university entrance qualification (e.g. Abitur certificate) and proof of English language skills at B2 level. If German is not your mother tongue, you must also be able to prove German language skills at A2 level.