Digital Transformation

Quick Overview

University Berlin School of Economics and Law
Degree Master of Science

Degree Master of Science, M.Sc.
Study Type Second cycle
Mode of admission without admission restriction
Beginning Students First-year students can only apply or register for the winter semester.
Standard period of study (amount) 4 semesters
Study Mode (elucidation) dual system; with integrated professional experience
Location (main / branches campus) Berlin
Admission semester 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 Data Science gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.
Weitere Informationen zum Studienbereich Computer Science.
Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.
Data Science

Das Information Systems and Management gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.
Weitere Informationen zum Studienbereich Computer Science.
Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.
Information Systems and Management
Areas of Concentration Agile Companies, AI/Robotics Applications and AI/Robotics Labs, Cybersecurity, Data-driven Organisation, Data Lab, Design Thinking, Digital Technologies, Digital Transformation, Hacking Lab, Process Innovation

Field of study
- Target group As a career-integrated MasterŽs degree programme, the Master Digital Transformation is aimed at applicants with a first university degree and at least one year of work experience. It is aimed at all those who want to actively and sustainably shape the digital transformation in companies or in public administration. Practice-relevant digital skills are taught in combination with innovative technologies and agile management methods. In addition to the fundamentals of digital transformation, specialisations are offered in the areas of data science, AI and robotics, and cyber security.
- kind of Master course according to the KMK providing further education
- Main instruction language German
- Digital teaching and learning units E-Learning, Blended Learning
- Annotation of the Higher Education Institution The degree course teaches sound scientific working methods for the digital networked world of tomorrow. It combines technology and management knowledge for fast and successful application in companies and public administrations. Students acquire the necessary skills to actively and sustainably shape the digital transformation.
  •\tBlended learning as an innovative study design
  •\tLived dual degree course through a close interlocking of theory and practice
  •\tAttractive technology specialisations such as data science, artificial intelligence (AI) and robotics as well as cyber security
  •\tReal Labs and Design Thinking to learn agile methods
  •\tPrototyping and competence-oriented knowledge transfer
  •\tActive co-design of content and knowledge transfer through a student conference
- Course Website
Access and Admission Requirements
- Mode of admission without admission restriction
- Admission semester winter semester
- Consultation, letter of application/motivation, curriculum vitae, certificate of academic degree, evidence of work and, if applicable, references, study agreement, application for admission as a professional partner;
  more information regarding admission requirements
- Completion of first university degree Bachelor/Bakkalaureus
  (and other qualifications, provided that they are recognised as being equivalent)
- Required practical experience
  In addition to completing your first university degree, you need the following practical experience to be admitted onto this degree programme:
  - 1 year Work experience
University-wide Dates and Deadlines
- Wintersemester 2024/2025
- - Lecture period
  - 01.10.2024 — 11.02.2025
    Bei den dualen und weiterbildenden Studiengängen teilweise ganzjähriger Studienbetrieb.
Tuition Fee
- Tuition fee 16.800 EUR / gesamt
  more information regarding tuition fees
- Annotation to the tuition fee The tuition fee can be paid in instalments over the duration of the course.
Contact / contact person
- International Students and applicants are kindly requested to contact the International Office:
- International Office
- Street address Badensche Straße 52, 10825 Berlin
- Phone 030 30877-1362
- Fax 030 30877-1269
- intstudy(at)hwr-berlin.de
- Internetpage of the institution
- Contact / contact person for this program
- Bezeichnung Kontaktstelle Berlin Professional School
- Street address Alt-Friedrichsfelde 60, 10315 Berlin
- Phone 030 / 30877-2917
- bps-dt(at)hwr-berlin.de
- Allgemeine Studienberatung
- Street address Badensche Straße 52, 10825 Berlin
- Phone 030 30877-1919
- studienberatung(at)hwr-berlin.de
- Internetpage of the institution
University Portrait

Detailed portrait Research map

About us

The HWR Berlin is one of the largest institutions of higher education in Germany’s capital city. The university is distinguished by a clear focus on providing academic education strongly linked to real world skills, an intensive and diverse programme of research, high quality standards and a strong international approach. Our portfolio of programmes covers private and public sector business and economics, administration, law, security management and engineering. The HWR Berlin has always regarded an international approach as an integral part of its vision and a key element in its higher education programmes and research. We have numerous partnerships with universities around the world.

one of the largest institutions of higher education in Germany’s capital city

has always regarded an international approach as an integral part of its vision and a key element in its higher education programmes and research

A practice-oriented approach

At the HWR Berlin, our approach to academic education is strongly informed by the latest research and aligned with real world skills. Working on the foundation of modern teaching methods, constant quality assurance and quality development, we foster a significant practical application of skills in cooperation with our partners in the business, administrative and legal sectors, and in non-profit organisations and associations. The link between academic theory and applied skills is especially close in the cooperative study programmes, which represent a core element in our portfolio. We foster the ability to seek and engage in dialogue, teamwork, intercultural awareness, entrepreneurial thinking, creativity and an innovative approach to problem solving.

working on the foundation of modern teaching methods, constant quality assurance and quality development

the link between academic theory and applied skills is especially close in the cooperative study programmes

Diverse Research

Conducting high-level research with a focus on its applicability, researchers at the HWR Berlin work in five departments, eight internal research Institutes and six An-Institutes conducting research into topics pertaining to Economics and the Social Sciences, the Administrative Sciences, Engineering and Law. A multi-disciplinary research concept promotes the development of shared research foci. The university also maintains an internal programme of research funding. The HWR Berlin is a member of the Institut für angewandte Forschung Berlin e. V. (IFAF).

conducting high-level research with a focus on its applicability

is a member of the Institut für angewandte Forschung Berlin e. V. (IFAF)

International Focus

Our international focus is an integral component of our institutional philosophy and informs every aspect of our teaching and research programme. Currently maintaining over 180 active partnerships with institutions of higher education on every continent, we are continually seeking to expand and reinforce existing programmes of co-operation. The HWR Berlin is also a member in the “Alliance for Excellence” (UAS7) an association of seven German institutions of Higher Education dedicated to quality and internationality and working to extend joint research undertakings and develop shared research strategies.

currently maintaining over 180 active partnerships with institutions of higher education on every continent

is a member in the “Alliance for Excellence” (UAS7)