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Bachelor’s degree programme in Applied Artificial Intelligence

Shaping the future for the long term with artificial intelligence

Tree students test on models of industrial robots.

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, which is what we want to provide you with!

  • Qualification: Bachelor of Science (B.Sc.)
  • Duration: 7 semesters (6 theoretical semesters and 1 practical semester)
  • Teaching language: English
  • Teaching on AI, e.g. machine learning, data science, applied AI, big data, cloud computing, robotics
  • As the course is conducted in English, the following admission requirements apply:

    1. Level B2 English language skills. Please refer to the study and examination regulations (SPO) for more specific details on what this means.
    2. If German is not your native language, sufficient German language skills must be evidenced by passing German courses at a university which amount to at least 4 ECTS credits, or via other certificates. Details on this can also be found in the study and examination regulations (SPO).

Course content

The Bachelor’s degree programme in Applied Artificial Intelligence (AAI) is basically a computer science course. Companies already need graduates who can implement AI techniques and technologies quickly and decisively in real IT systems and applications in industry.
In order to be able to transfer the potential of AI into practice in dialogue with users, our students acquire sound knowledge and skills in software engineering, develop expertise in mathematics and gain comprehensive proficiency in the development of AI systems. For this reason, a particular focus of the degree programme is on mathematical understanding of the basics and application of various AI approaches in practice.
Over seven semesters, students gain relevant specialist skills in computer science, mathematics and artificial intelligence as well as important key skills and soft skills. They also learn how to work with AI responsibly. They are taught to recognise what AI is permitted to do and what it is not permitted to do and which ethical principles need to be taken into account.
Specialist required elective modules (FWPM) are also incorporated into the curriculum from different disciplines:

  • Computer science: cloud computing, Internet of Things, agile software development, mobile applications, user experience design, computer networks, embedded systems
  • Mathematics: Statistics 1, Statistics 2
  • Engineering: robotics, communications technology, digital signal processing, process data engineering, draft integrated digital circuits

Link to the course structure

Career opportunities

Artificial intelligence and digitalisation are certainly among the most important technologies of the future and are the key to success in the employment market. Graduates trained in this field have the best career prospects in all industries, both regionally and globally, including digital health, social affairs, building information modelling, production control and energy monitoring.
With its proximity to Munich and the surrounding region, TH Rosenheim provides the best possible conditions for graduates starting out in their careers as numerous national and international IT firms are based here.
As a graduate of the degree programme in Applied Artificial Intelligence, your work life will involve understanding, shaping, optimising and further developing collaboration between man and machine. Thanks to your specialist knowledge, your skills and expertise in artificial intelligence, you will have access to many exciting and sometimes brand-new careers in the employment market.

Application and admission

  • Course starts: each winter semester
  • Admission is only restricted based on language skills.

[further details to follow]

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