UE Germany | Master (M.Sc.) | Software Engineering

Learn more about our Master's programme Software Engineering. Learn more about our Master's programme Software Engineering.

Created by Created by University of Europe Germany Last updated Fri, 02-Dec-2022  English

UE Germany | Master (M.Sc.) | Software Engineering

Learn more about our Master's programme Software Engineering. Learn more about our Master's programme Software Engineering.

Created by Created by University of Europe Germany Last updated Fri, 02-Dec-2022  English

Program Overview

Description

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 the 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.

Category: Tech and software master’s

Degree: Master of Science, MSc

Starting semesters

  • Winter semester: September
  • Summer semester: March

Duration: 2,3 or 4 Semesters

Language of instruction: English

Tuition fee

90 ECTS & 120 ECTS:

  • EU Applicants: 11,988 € yearly
  • Non-EU Applicants: 13,188 € yearly

60 ECTS:

  • EU Applicants: 13,000 € yearly
  • Non-EU Applicants: 14,300 € yearly

Internship semester / semester abroad: 5th Semester

Credits:

Standard: 120 ECTS

Fast-Track: 60 or 90 ECTS

Digital version: 60 ECTS

*Important note: There is no guarantee that classroom teaching will be possible throughout the semester due to COVID-19.

Campus: Innovation Hub near Berlin

What you'll learn

In this Software Engineering (MSc) programme, students not only learn the current challenges in software design and architecture, but they 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.

Career roles:

  • (Software) developer
  • Application developer
  • Artificial Intelligence software developer
  • Software engineer and team leader
  • Software development engineer
  • Senior software engineer / team Lead
  • Technical consultant
  • Technical architect
  • Cloud system expert
  • Application architect
  • Software architect
  • Project manager software development
  • Chief architect
  • Enterprise architect
  • Systems architect
  • Embedded software solutions
  • Smart car software developer and designer
  • User devices integration
  • Systems analyst

Curriculum

Curriculum for this course
4 Lessons
SEMESTER 1
1 Lessons
  • Advanced software design Pattern recognition Decision support systems Software optimization Entrepreneurial Thinking & Digital Models Contemporary Leadership Culture (Social Skills)
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This course includes:

    • image 4 Section
    • image 4 Lessons
    • image

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