Leadership | Hochschule Ansbach

Study overview

Our part-time Master’s program in Leadership with a focus on healthcare offers you a comprehensive academic education. This German-language program teaches management skills and leadership qualities, as well as specialized knowledge of health policy and the healthcare system in Germany.

The Master of Business Administration (MBA) is a postgraduate generalist management program. The program is designed for (future) executives who wish to develop, expand and deepen their leadership personality and competencies.

Leadership here refers not only to managing staff but to the holistic management of an organization.

Your benefits:

Goal-oriented, value-based and reflective leadership behavior
Development of individual leadership competencies
Small learning groups

Through interactive teaching methods, practical case studies and intensive exchange with fellow students, you will become an expert in management and leadership.

Short form	LEA
Type of study	Extra-occupational, chargeable
Standard period of study	5 semester
Award	Master of Business Administration (MBA)
Start of studies	Winter semester
Admission restrictions	Specific
Lecture location	Ansbach
Language of instruction	German
Course management	Prof. Dr.-Ing. Stefan Slama
Student advisory service	n.n.
Student Services	studierendenservice.lea(at)hs-ansbach.de
Information events	Please register via our webform. For online events, you will receive corresponding access data from us. Jun 11, 2026 5:00 p.m. (Zoom) Jul 2, 2026 5:00 p.m. (Zoom) Jul 29, 2026 5:00 p.m. (Zoom)

Study flyer (German)

Module manual (German)

Study structure (German)

Study and examination regulations (German)

old: Fee schedule (German)

new: Schedule of fees and charges (German)

Accreditation

Leadership has been assessed by the accreditation, certification and quality assurance institute ACQUIN.

You can see the accreditation and assessment by the ACCREDITATION COUNCIL in the accreditation database (click here).

Content

The overriding learning objective is the training, expansion and deepening of the participants’ range of skills to enable them to master leadership tasks. Students will internalize the idea of leadership as a philosophy and act according to a humanistic leadership model, taking into consideration scientific findings.

The Leadership course promotes the development of a personal leadership style. The focus is on enabling goal-oriented, value-driven, reflective leadership behaviour at all organisational levels (individual, team, corporate).

This training, expansion and consolidation of an individual's range of skills for handling leadership tasks is fundamental for (potential) managers in every profession and field of activity. Based on this objective, the course offers modern, personality-development forms of teaching and learning to acquire leadership competence. General leadership and management skills are required in many diverse professions and fields of activity. The course provides the techniques and methods of modern leadership. By focusing on selected areas, more specialised knowledge and skills can be developed.

Target group

The master’s programme in Leadership is intended to give highly qualified university graduates who have already started their careers the opportunity to qualify for management positions.

As part of the first – and, at present, only – focus on healthcare, the master’s programme offers (prospective) managers from the healthcare sector a scientific specialisation with a focus on leadership competence.

Teaching methodology and presence phases

The courses take the special situation of working people into account. They are organised in such a way that they are compatible with full-time employment. Attendance phases are limited to an acceptable minimum. Lessons take place in small study groups in accordance with the latest scientific findings. We use innovative teaching and learning methods for this purpose.

Students benefit from interaction in interdisciplinary, cross-professional and cross-hierarchical participant groups, knowledge transfer by experts, a high level of practical transfer as well an orientation towards strengths and the future.

Campus

The lectures take place on the campus in Ansbach.

Admission requirements

Applicants with a university degree and some subsequent practical professional experience are eligible. Detailed information on the admission procedure and the admission requirements can be found in the Study and Examination Regulations (SPO) or Nicole Guggenberger will be happy to answer your questions.

Applicants who did not gain their study qualification at a German-speaking institution need to provide recognised proof of their German language skills (e.g. TestDaF at least level 4, DSH at least level 2).

Application deadlines

Winter semester: Application is possible from May 2 to July 15. The application period can be extended. Study begins on October 1.

Costs and funding

Study

Fees are charged at Bavarian universities for part-time studies. These are calculated to cover the additional costs resulting from the special form of organisation required. The costs per semester are 2,700 € tuition fees (see Schedule of fees and charges) plus 72 € student union fee.

Payment method

The tuition fees are due in one sum before enrollment or registration for further studies (re-registration). Monthly payment is also possible upon request. The fee for paying in installments is €50 and is due with the last installment (see Schedule of fees and charges).

Funding and scholarships

Voices of our students

Stephanie Blüml

Stephanie Blüml
Head of Corporate Communications and Development
Arberlandkliniken

"In the leadership course, everyone can contribute examples of situations from their (professional) everyday life. This means you benefit not only from the content of the course itself, but also from the experiences of others."

Florian Höhler, MD

Florian Höhler, MD
Chief surgeon
Krankenhaus Kemnath der Kliniken Nordoberpfalz AG

The course was a welcome change for me. It broadened my horizons enormously and helped me to achieve my current position."

Andrea Kramp

Andrea Kramp
Commercial director
Klinikum Altmühlfranken

The study offers a wide range of opportunities to work on your own leadership style and to surpass yourself. I would not have wished to miss this experience!"

Florian Trini, MD

Florian Trini, MD
Medical specialist for orthopaedics and accident surgery
Klinikum Fürth

My leadership skills enable me to network in a meaningful way at Klinikum Fürth and advance ideas."

Staff

Prof. Dr.-Ing. Stefan Slama

Studiengangleiter Leadership (LEA)

0981 4877-208 50.4.1 nach Vereinbarung stefan.slama vCard

Prof. Dr. Ina Mai

Professorin Leadership (LEA)

0981 4877-221 50.1.2 nach Vereinbarung imai vCard

Prof. Dr.-Ing. Michael Müller

Professor Leadership (LEA)

0981 4877-501 50.3.7 nach Vereinbarung mi.mueller vCard

0981 4877-501
50.3.7
nach Vereinbarung
mi.mueller
vCard

Professor Leadership (LEA)

Funktionen:

Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)
Professor Betriebswirtschaft (BW)
Mit-Initiator und Dozent Leadership im Gesundheitswesen (LSG) und Leadership (LEA)
Ehemaliger wissenschaftlicher Leiter des Instituts für Mittelstand und Unternehmensentwicklung der Hochschule Ansbach (IMEA)
Initiator und Dozent im ESF-Drittmittelprojekt KM²U 2017-2019 (Wissensmanagement im regionalen Mittelstand)
Mitglied im Arbeitskreis Qualitätsmanagement (bis 2020)
Vorsitzender, Mitglied und externer Gutachter in Berufungskommissionen

Lehrgebiete:

Organisation
Unternehmensführung
Geschäftsprozessmanagement
Organizational Behaviour und Change Management
Wissensmanagement
Digital Leadership und agiles KI-Projektmanagement

Vita:

Seit 2020: Initiator und Professor Angewandte Künstliche Intelligenz und Digitale Transformation (KDT)
2018-2020: Studiengangsleiter Betriebswirtschaft (BW)
Seit 2012: Angewandte Forschung auf dem Gebiet „Sicherung von Erfahrungswissens“
Seit 2012: Professur Betriebswirtschaft (BW) an der Hochschule Ansbach
2005-2012: Berater und Trainer bei sciNOVIS für das Thema „Sicherung von Erfahrungswissen“
2001-2005: Mit-Gründer und Geschäftsführer bei der COGNEON GmbH
1997-2001: Stellv. Leiter der Forschungsgruppe Wissenserwerb des FORWISS Erlangen
1994-1998: Promotion zum Thema „Interessantheit bei der Entdeckung von Wissen in Datenbanken“
1993-1997: Wiss. Mitarbeiter in der Forschungsgruppe Wissenserwerb des FORWISS Erlangen
1987-1993: Studium der Informatik mit Schwerpunkt KI an der FAU Erlangen-Nürnberg

Publikationen:

Müller, Michael: Wissensmanagement. Reihe „WiWi klipp & klar“. Springer Gabler, Wiesbaden, 2022.

Förtsch, Ferdinand; Müller, Michael: Wissensmanagement – Karriere in der Verwaltung. Kommunal- und Schul-Verlag, Wiesbaden, 2015.

Ittner, Friedrich-Alexander; Ambrosius, Ute; Müller, Michael: Wissensorientierte Strategieentwicklung für den Mittelstand (KMU). Schriftenreihe Campus Edition, Fachhochschule Ansbach, 2015.

Kaiser, Robert; Müller, Michael: Erfahrungsschätze bewahren. In Vitako aktuell, Zeitschrift der Bundes-Arbeitsgemeinschaft der Kommunalen IT-Dienstleister e.V., 2010.

Punzel, Joachim; Schwarze, Jochen; Graubner, Christian; Müller, Michael: Fallstudie: Von der Mindmap zum Wiki - Wissensbewahrung im eGovernment-Center der Stadt Erlangen. In „Enterprise 2.0 - Planung, Einführung und erfolgreicher Einsatz von Social Software in Unternehmen“, Forschungsgruppe Kooperationssysteme der Universität der Bundeswehr München, 2009.

Graubner, Christian; Müller, Michael: Wissensmanagement für Innovationsmanagement - Systematische Unterstützung des Innovationsmanagements durch Methoden und Prozesse des Wissensmanagements. In Tagungsband WM 2007 (4. Konferenz Professionelles Wissensmanagement), 2007.

Müller, Michael; Kaiser, Robert: Wissensbewahrung bei der Stadt Erlangen - Dokumentation und Kommunikation der Erfahrungen ausscheidender Wissensträger. In Tagungsband KnowTech 2006, S. 425-432, 2006.

Stoyan, Herbert; Müller, Michael; Bimazubute, Raymond; Grille, Barbara; Hausdorf, Carsten; Hormeß, Markus; Kraetzschmar, Gerhard K.; Schneeberger, Josef; Turk, Andreas: Wissenserwerb und Wissensmanagement. In Hammwöhner, R.; Rittberger, M.; Semar, W. (Hrsg.): Wissen in Aktion - Der Primat der Pragmatik als Motto der Konstanzer Informationswissenschaft, Festschrift für Rainer Kuhlen, Schriften zur Informationswissenschaft 41, Hochschulverband für Informationswissenschaft, S. 253-270, 2004.

Grille, Barbara; Stoyan, Herbert; Gaede, Bernd; Müller, Michael: Wissensmanagementprozesse - Mit Experteninterviews zum aufgabenbezogenen hypertextbasierten Informations- und Tutorsystem. In Buhl, H.-U.; Huther, A.; Reitwiesner, B. (Hrsg.): 5. Internationale Tagung Wirtschaftsinformatik 2001, S. 323-338, Physica-Verlag, 2001.

Hausdorf, Carsten; Stoyan, Herbert; Müller, Michael: Kaskadierter Wissenserwerb beim Wissensmanagement. In Gronau, N. (Hrsg.): Wissensmanagement: Systeme - Anwendungen - Technologien, Aachen, 2001.

Hogl, Oliver; Müller, Michael; Stoyan, Herbert; Stühlinger, Wolf: On Supporting Medical Quality with Intelligent Data Mining. In Sprague, R. (Hrsg.): Proceedings of the Thirty-Fourth Annual Hawaii International Conference on System Sciences (HICSS-01), IEEE Press, Maui, Hawaii, January 3-6 2001.

Hogl, Oliver; Stoyan, Herbert; Müller, Michael: The Knowledge Discovery Assistant: Making Data Mining Available for Business Users. In Gunopulos, D.; Rastogi, R. (Hrsg.): Proceedings of the 2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD-2000), S. 96-105, Dallas, Texas, May 2000.

Müller, Michael: Interessantheit bei der Entdeckung von Wissen in Datenbanken. In Künstliche Intelligenz, Nr. 3, S. 40-42, September 1999.

Müller, Michael: Interessantheit bei der Entdeckung von Wissen in Datenbanken. Dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg, 1998.

Müller, Michael; Hausdorf, Carsten; Schneeberger, Josef: Zur Interessantheit bei der Entdeckung von Wissen in Datenbanken. In Nakhaeizadeh, Gholamreza (Hrsg.): Data Mining: Theoretische Aspekte und Anwendungen, Beiträge zur Wirtschaftsinformatik, S. 248-264, Physica-Verlag, Heidelberg, 1998.

Büchter, Oliver; Müller, Michael; Schneeberger, Josef: Improving Forward Selection with Background Knowledge: Finding Interesting Multiple Regression Models for Sales Prediction. In Lu, Hongjun; Motoda, Hiroshi; Liu, Huan (Hrsg.): Proceedings of the First Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’97), KDD: Techniques and Applications, S. 344-357, World Scientific, Singapore, 1997.