Digital technologies in the form of social media, mobile communication and business analytics are penetrating industry and business ever faster. The term Digital transformation today we connect new Digital business models with a disruptive approach to innovation, real-time interaction and reliable predictions based on big data.
Advances in digital technologies are also leading to a paradigm shift in industrial value creation that goes beyond the terms Industry 4.0 and Big Data has been associated with a new industrial revolution for some years now. The merging of the physical and virtual worlds in cyber-physical systems also leads to new challenges in management and, in particular, in the management and professional support of projects in the context of change processes that will make up the digital transformation in the coming years.
With the study focus Engineering Management in the MBA For engineers, natural scientists and computer scientists, Allensbach University is now one of the first universities to offer management training at Master's level in the context of the challenges described above.
You will learn the important elements of a holistic Innovation management and combine these with the specialist focal points of the Digitization of business processesas the disciplines of the Data Science Management (Big Data) and a Industrial information management (Industry 4.0) convey.
After completing this course, you will be able to act as a coordinator of modern and agile information management in the company and describe the relevant management cycle for processing and handling information as a resource, as well as designing it in a disciplinary and interdisciplinary manner. You will be able to use your management skills to lead specific implementation projects or act as an internal or external consultant.
After completing your studies, you will know how to manage a company using Predictive applications to a Data Driven Company develop. They know how to approach and implement projects in concrete terms, what advantages automated data-driven decisions offer and what framework conditions are required for Data science projects must be complied with.
They are also familiar with the business, technical and legal challenges and opportunities associated with Industry 4.0 are connected. They can shape the character of Industry 4.0 in line with the "Internet of Things" as a design task for connecting real things with virtual things and people.
This will enable you to advise on projects that aim to transition to a digitally networked overall system. In particular, you will also be able to manage the parts of the project that aim to achieve even closer coordination of business and technical information processing in a productive environment.
You can start your studies at any time - find out more today!
Garantierte Qualität: Der Studiengang ist durch den Akkreditierungsrat akkreditiert und von der Staatlichen Zentralstelle für Fernunterricht (ZFU) zugelassen. Der Studiengang ist international anerkannt und berechtigt auch zur Promotion.
Programme Leader: Prof. Dr. habil. Robert Neumann
You already have a first, non-economic university degree with at least 180 ECTS (e.g. Bachelor's degree, state examination or diploma from any type of university). You also have relevant professional experience and English language skills at level B2 of the Cambridge Certificate .
Sofern Sie keinen Test absolviert haben, können Sie Ihre Englischkenntnisse auch in einem Online-Test nachweisen.
If you have already completed comparable coursework in a Master's program or comparable program at another university, recognition is generally possible. Please contact the Student Advisory Service.
Internationalization and globalization processes are shaping the markets like never before. Decision-makers for entrepreneurial action are more in demand than ever. Experts with social and professional skills are deployed in various industries across all business areas in order to cope with rapidly changing competitive environments in a globalized economy. An MBA degree provides you with a sound business education, which you will need above all in management positions.
Im ersten Semester erhalten Sie zunächst eine Einführung in das wissenschaftliche Arbeiten und die Methoden der empirischen Forschung. Dieses Modul soll Sie dabei unterstützen, sich auf die Gepflogenheiten des wissenschaftlichen Arbeitens in den Wirtschaftswissenschaften einzustellen.
Im Modul „Strategisches Management und Organisation“ erhalten Sie eine Einführung in die Grundlagen der Betriebswirtschaftslehre, befassen sich aber auch mit strategischem Management und Marketing. Daraufhin erhalten Sie eine Einführung in das Projektmanagement. Schließlich runden Grundlagen des internen und externen Rechnungswesens im Modul „Accounting und Controlling“ das erste Leistungssemester ab.
Im zweiten Semester beschäftigen Sie sich im Modul „Human Resources Management und Leadership“ mit dem gesamten Prozess des Personalmanagements und entwickeln Ihre Führungskompetenzen weiter. Anschließend befassen Sie sich mit den Themenbereichen Finanzmanagement, Finanzierung und Investitionsrechnung im Modul „Corporate Finance“. Daraufhin erhalten Sie eine Einführung in die aktuellen Themen Changemanagement und Nachhaltigkeitsmanagement. Effiziente Prozesse und ein robustes Informationsmanagement sind entscheidend für den Unternehmenserfolg. Daher beschäftigen Sie sich zum Ende des zweiten Semesters mit dem Modul „Prozess- und Informationsmanagement“.
You will acquire valuable expert knowledge with the focus subjects Innovation Management, Data Science Management (Big Data) and Industrial Information Management (Industry 4.0).
You will write your Master's thesis, which is an independent research paper that marks the end of your studies. Here you will demonstrate that you can work independently on a problem from the subject areas of the Master's program using scientific methods. Of course, you will receive individual supervision from our professors during this phase. You will present your Master's thesis at the end in a colloquium (online).
This specialization is aimed in particular at engineers working in the field of Innovation management and in current topics such as the Digitalization of business processes, data science management (big data) and Industrial information management (Industry 4.0) want to gain further qualifications.
modules of your specialization:
The Digitization plays an important role in the development of companies. In the focus "Engineering Management", you will learn the basics of innovation management and will be able to identify success factors for innovation processes and successfully implement innovations.
In the second in-depth module, you will first deal with the advantages of big data analytics. You will then learn how to apply methods and tools for handling large volumes of data in order to generate company-relevant information.
The specialization module "Industrial Information Management" will teach you how to classify the relevant topics of Industry 4.0 and how to use them in your professional environment in connection with the discussions on digital transformation.
Standard period of study: 24 months
It is possible to extend the duration of the course by up to 12 months free of charge, so that the course can be completed in 24 to 36 months, depending on individual scheduling.
Start of studies: at any time
Once you have successfully completed all examinations, the university will award you the academic degree "Master of Business Administration (MBA)", which also entitles you to do a doctorate.
You can find all the important information about your degree program in your personal study guide.