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Industrial Artificial Intelligence

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Quick Overview

  • University Albstadt-Sigmaringen University - University of Engineering and Economics
  • Degree Master
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission local admisssion restriction
  • Application Deadline for Beginning Students 15.01.2026
  • Standard period of study (amount) 3 semesters
  • Study Mode (elucidation) full time; part time
  • Location (main / branches campus) Albstadt
  • Admission semester summer and winter semester
  • Subject

    Das Artificial Intelligence gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

     Artificial Intelligence

    Das Engineering and Management gehört zum Studienbereiche Engineering and Management der Fächergruppe Engineering Sciences.

    Weitere Informationen zum Studienbereich Engineering and Management.

    Weitere Informationen zur Fächergruppe Engineering Sciences.

     Engineering and Management

  • Field of study
    • Target group Graduates of a bachelor's degree course or comparable, e.g. engineers, industrial engineers, business economists, computer scientists and graduates of related disciplines
    • kind of Master course according to the KMK consecutive
    • Main instruction language English
    • Annotation of the Higher Education Institution Why study Industrial Artificial Intelligence IAI?
      The teaching language of the Industrial Artificial Intelligence degree programme is English.
      IAI is for people who are interested in all aspects of artificial intelligence and want to play an active role in shaping the topic of artificial intelligence. You will effectively link the relevant industrial business areas with artificial intelligence, recognise efficiency potential and implement your findings in practical projects with companies. Learning by doing will lead you to success in this project-oriented degree programme.
      AI technology is changing the world of work: ‘By 2030, around 30% of current working hours could be automated by technology, including generative AI’ (McKinsey Global Institute, 2025). All areas of companies will be affected, including production, logistics or supply chain, planning, purchasing, manufacturing or assembly and many more.
      The degree opens up excellent career opportunities in the industry, as experts in artificial intelligence are sought-after graduates in a rapidly growing market for artificial intelligence: according to Statista (2024), the market volume will increase from USD 96 billion in 2021 to an estimated USD 1.848 billion in 2030.

      What does the IAI Master’s programme look like?

      The programme combines theory and practice within the framework of projects. Learning by doing is at the centre of the course. Different specialisations are taught in each semester:
      - The Industrial Operation and Transformation specialisation deals with the relevant AI application areas and the associated, marketable AI tools that shape everyday practice
      - The Artificial Intelligence and Data Engineering specialisation provides in-depth knowledge that enables you to independently develop and refine AI tools and thus make an important contribution beyond the practical application of tools.

      You will acquire comprehensive knowledge in AI-oriented Python programming, machine and deep learning as well as generative AI. You will also expand your knowledge of big data, data science and data engineering. This knowledge is supplemented by practical knowledge of application software packages from well-known manufacturers (e.g. Microsoft, SAP, Siemens, AWS), which deal with topics such as ERP systems, cloud computing, robotic process automation, business intelligence and analytics.

      Semester structure / programme content

      You will acquire comprehensive knowledge in AI-oriented Python programming, machine and deep learning as well as generative AI. You will also expand your knowledge of big data, data science and data engineering. This knowledge is supplemented by practical knowledge of application software packages from well-known manufacturers (e.g. Microsoft, SAP, Siemens, AWS), which deal with topics such as ERP systems, cloud computing, robotic process automation, business intelligence and analytics.


      Your future: What can you achieve with your degree?

      With your degree, you will have a wide range of career opportunities, some of which we cannot even fully assess today. In addition to the traditional areas of employment / job offers, there are also new areas of employment for IAI Master’s graduates that are being created by AI in companies.

      These include the following jobs:
      - AI engineer – These are responsible for integrating artificial intelligence into existing industrial systems or developing it for these systems themselves.
      - AI consultant – They carry out analyses and develop concepts for the introduction of AI technology and its application to increase costs and efficiency in industrial business areas.
      - AI business developer – Develops and implements AI/ML models and solutions for specific business challenges.
      - AI product manager – A specialist to oversee, create and manage products that utilise AI technologies.
      - AI research scientist – A professional who conducts research and development in the field of artificial intelligence.
    • Course Website
  • Access and Admission Requirements
    • Mode of admission local admisssion restriction
    • Admission semester summer and winter semester
    • Completed an affine undergraduate degree in accordance with the applicable admission regulations
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus, Diplom, Diplom (FH)

      Minimum requirements for first university degree:
      • Minimum standard period of study: 7 semesters
      • Required ECTS credits: 210

      For this degree programme, you should have gained your first university qualification in one of the following subjects groups or areas of study:
      • Area of study: Computer Science, Engineering and Management
    • Required language skills
    • Required minimum language skills that must be proven by passing one or more of the following language tests:
      • Cambridge (English): 160-179
      • IELTS (English): 5.5-6.0
      • TOEFL IBT (English): 72-94
      • TOEIC (English): 785-940
    • Further admission requirements CV
  • Programme Dates and Deadlines
  • Contact / contact person
    • International Students and applicants are kindly requested to contact the International Office:
    • International Office
    • Street address Jakobstr. 6, 72458 Albstadt
    • Phone 07571 732-9205
    • bast(at)hs-albsig.de
    • Internetpage of the institution
    • Contact / contact person for this program
    • Contact Description Fakultät Engineering Studiendekan
    • Contact person Prof. Dr. Lutz Sommer
    • Street address Johannesstraße 3, 72458 Albstadt
    • Phone 07571 / 732-9531
    • Fax 07571 / 732-9214
    • Studienberatung
    • Street address Anton-Günther-Straße 51, 72488 Sigmaringen
    • Phone 07571 732-0
    • Fax 07571 732-8229
    • info(at)hs-albsig.de
    • Internetpage of the institution

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