University of Europe for Applied Sciences MSc Software Engineering
University of Europe for Applied Sciences

University of Europe for Applied Sciences

MSc Software Engineering

  • Berlin, Germany
  • Dubai, United Arab Emirates

MSc

1 up to

2 years

English

Full time

Mar 2026

EUR 12,900 / per year *

On-Campus

* German campuses: €19,350 for the full programme | Dubai campus: 54,181 AED (first year)

Key Summary

    About : The MSc in Software Engineering focuses on delivering practical and theoretical knowledge in software development. The program offers hands-on experience and aims to equip students with skills in areas such as software design, development, testing, and project management. The course runs for one year full-time or two years part-time, providing flexibility for working professionals.
    Career Outcomes : Graduates can pursue a variety of career paths, including roles as software developers, project managers, systems analysts, and IT consultants. There's a strong demand in industries for professionals skilled in software engineering, with opportunities in tech companies, finance, healthcare, and more.

The main goal of all auto industries is to achieve autonomous driving by designing complex software systems.

Most innovations in the automotive sector have been based on electronics and software. Developments such as mobility services, autonomous driving or automated driving, networking, infotainment, and e-mobility contribute significantly to the industry. With the number of software-controlled functions in an automatic car, its IT architecture is also changing towards central, virtual high-speed computers. Our goal is to provide students with the most state-of-the-art technology that will enable them to work and innovate in the automotive domain and any other business domain available in the market today.

In this Software Engineering (M.Sc.) program, students not only learn the current challenges in software design and architecture but are also taught to develop solutions to these challenges. They will also learn about the emerging trends in pattern recognition and vehicular technologies. Students will learn to build software and design and implement smart software using cloud computing and machine learning.

The subject areas specifically considered in this degree program include:

  • Advanced software design and analysis technology
  • Processing of large amounts of data
  • Vehicular technologies including sensors and networks
  • Smart systems and decision-making systems
  • The creation of parallel computing or distributed software (Internet of Things, mobile apps)
  • Pattern precognition for detecting objects to be used in smart systems and autonomous driving
  • The creation and maintenance of complex software products
  • Security and reliability issues
  • The transition to and operation of software products

Each course is delivered by an industry expert in the subject. Teaching methods include classroom learning practicals and group work; class sizes are kept diverse to facilitate multicultural interaction and to promote effective learning. Each subject is taught at least once a year (and some are taught two) and most can be studied in any order.

Students can choose between a 4-semester (2 years) standard-track or two fast-track options (1.5 years and 1 year) depending on their pre-existing experience.