Study overview

Artificial intelligence is undisputedly one of the most important future technologies on which the global competitiveness of the German economy will decisively depend. This is where the Master's programme "Applied Artificial Intelligence and Digital Transformation" (KDT) comes in: The aim is to train experts for operational applications of artificial intelligence that can be used directly in companies and mainly support successful implementation and digital transformation. The focus will be on the constructive development of innovative, intelligent and at the same time economically feasible solutions, especially in the areas of production, marketing and human resources.

Therefore, interdisciplinary trained experts* are necessary, who, in addition to the urgently needed mathematical-technical expertise, e.g. on symbolic (rule and decision tree induction) and sub-symbolic (neural networks, deep learning) methods of machine learning, also possess competences for the organisational implementation of the requirements under consideration of the economic, legal and ethical framework ("Business Understanding"). Their task will be to develop solutions together with the respective experts (mathematicians, IT representatives, engineers, management representatives) and to lead or accompany the implementation within the framework of change projects. The focus is therefore on a broad education that guarantees the learning of fundamental aspects and especially the technical language of the relevant areas.

Short formKDT
Type of studyFull time
Standard period of study3 semester
ClosingMaster of Arts (M.A.)
Start of studiesWinter semester
Admission restrictions specific
Lecture locationAnsbach
Language of instructionGerman
Course management Prof. Dr.-Ing. Michael Müller
Student advisory serviceProf. Dr.-Ing. Michael Müller
Student ServicesRalph-Peter Kappestein

Admission requirements and application for studies

You can start the KDT Master's programme in the winter semester. As for all degree programs, you must apply for this program in good time via the online applicant portal. Please note that the regular deadlines are cut-off deadlines. Your application must therefore be received by us at the latest by the end of the last day of the respective deadline (May 2 - July 15).

You can find all information on how to applyHERE.

In addition, a successfully completed university degree in a relevant field of study or an equivalent domestic or foreign degree with an overall examination grade of at least 2.5, the scope of which usually comprises 210 ECTS points, but at least 180 ECTS points, is required. Courses of study are considered relevant if they are based on fundamentals from the fields of media, economics or technology.

Applicants to Bavarian universities of applied sciences are subject to the Bayerische Hochschulgesetz (BayHSchG).

The Master's programme "Applied Artificial Intelligence and Digital Transformation" comprises 90 ECTS, which can be completed in three semesters. If you start with a degree of less than 210 ECTS, you may have to plan additional time to catch up on modules/ECTS.

The programme is strongly practice-oriented and offers in the first semester, in addition to a basic technological education, early specialisationpossibilities within the modules in the areas of digital business models and processes as well as leadership and change management. In order to optimally prepare students for their future professional life, the teaching content from the various lectures is applied directly in practice-oriented group exercises starting in the first semester. In the 2nd semester, the teaching content is put into practice in an independent applied project, usually with an external partner. Accompanying this, operational application possibilities of the AI are offered in three different areas. In addition, these modules prepare the graduates for their future professional life by providing in-depth practical examples. After the project work, the 3rd semester offers the possibility to deepen the knowledge (e.g. project work) on the basis of a master thesis.

You will complete your studies in three semesters. Upon successful completion you will be awarded the internationally recognized academic degree Master of Arts (M.A.).

The combination of basic knowledge about applied AI, knowledge about the digitalization of products and processes, the profound knowledge in the field of digital leadership and transformation enables students to have a diverse and above all industry-independent professional future perspective. Whether in the free economy, in non-commercial organisations or public authorities - the later spectrum of activities is broad.

On the one hand, the interdisciplinary know-how imparted enables the graduates to independently recognize cross-project potentials for AI solutions and to implement these in turn through structured and goal-oriented action. On the other hand, in the field of applied AI and digital transformation, they are qualified to take on management responsibility and to initiate and implement AI projects and to subsequently subject them to extensive evaluation with regard to quality assurance.

Within this framework, the graduates are not only interesting for global corporations or large authorities, but also for small and medium-sized enterprises (SME) due to the comprehensive range of applications.

Staff

Prof. Dr.-Ing. Michael Müller – Studiengangsleiter Angewandte Künstliche Intelligenz und Digitale Transformation (KDT) / Studienfachberatung Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

Prof. Dr.-Ing. Michael Müller

Studiengangsleiter Angewandte Künstliche Intelligenz und Digitale Transformation (KDT) / Studienfachberatung Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

0981 4877-501 50.4.6 nach Vereinbarung vCard

Prof. Dr.-Ing. Michael Müller

Prof. Dr.-Ing. Michael Müller – Studiengangsleiter Angewandte Künstliche Intelligenz und Digitale Transformation (KDT) / Studienfachberatung Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

Studiengangsleiter Angewandte Künstliche Intelligenz und Digitale Transformation (KDT) / Studienfachberatung Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

Funktionen:

  • Studiengangsleiter Betriebswirtschaft (BW)
  • Studiengangsleiter Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)
  • Studienfachberatung Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)
  • Professor Leadership (LEA)

Lehrgebiete:

  • Organisation
  • Schwerpunkt Organisation und Management
  • Schwerpunkt Management im Mittelstand

Ralph-Peter Kappestein

Ralph-Peter Kappestein – Leiter Studierendenservice der School of Business and Technology (SBT)

Leiter Studierendenservice der School of Business and Technology (SBT)

Funktionen:

  • Leiter Studierendenservice der School of Business and Technology (SBT)
  • Mitglied Senat und Hochschulrat

Betreute Studiengänge:

  • Interkulturelles Management in Voll- und Teilzeit (B.A.)
  • Angewandte Kunststofftechnik (B.Eng., berufsbegleitend)
  • Strategisches Management (B.A., berufsbegleitend)
  • Wertschöpfungsmanagement (B.A., berufsbegleitend)
  • Angewandte Künstliche Intelligenz und Digitale Transformation (M.A.)
  • Applied Research in Engineering Sciences (M.Sc.)
  • Digital Marketing (M.A.)
  • Energiemanagement und Energietechnik (M.Eng.)
  • Innovation und Entrepreneurship (M.A.)
  • Internationales Produkt- und Servicemanagement (M.A.)
  • Medizintechnik (M.Eng.)
  • Multimediale Information und Kommunikation (M.A.)
  • Multimediales Didaktisches Design (M.A.)
  • Public Relations und Unternehmenskommunikation (M.A.)
  • Kreatives Management (MBA, berufsbegleitend)
  • Leadership (MBA, berufsbegleitend)
  • Zertifikatslehrgang Leadership im Gesundheitswesen
Prof. Dr. Wolf Knüpffer – Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

Prof. Dr. Wolf Knüpffer

Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

0981 4877-366 92.1.5 Mittwoch 16.00-17.00 Uhr vCard

Prof. Dr. Wolf Knüpffer

Prof. Dr. Wolf Knüpffer – Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

Funktionen:

  • Studiengangsleiter Wirtschaftsinformatik (WIF)
  • Studiengangsleiter Datenschutz und IT-Sicherheit (DIS)
  • Studienfachberatung Wirtschaftsinformatik (WIF)
  • Studienfachberatung Datenschutz und IT-Sicherheit (DIS)
  • Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)
  • Professor Digital Marketing (DIM)
  • Mitglied Senat und Hochschulrat
  • Mitglied Fakultätsrat Wirtschaft

Lehrgebiete:

  • Internet- und Web-Technologie
  • Mobiles Equipment
  • Geschäftsprozessmanagement
Prof. Dr. Bernhard Volz – Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

Prof. Dr. Bernhard Volz

Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

0981 4877-363 92.1.6 nach Vereinbarung vCard

Prof. Dr. Bernhard Volz

Prof. Dr. Bernhard Volz – Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)

Funktionen:

  • Studiengangsleiter Wirtschaftsinformatik (WIF)
  • Professor Datenschutz und IT-Sicherheit (DIS)
  • Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)