MEng Computer Science

Tuition fee
Apply by
Start date
Apr 2026
Jul 2026
Oct 2026
Jan 2027
Apr 2027
Jul 2027
Oct 2027
Duration
2 years
1 year
1.5 years
Campus
Main Campus
Potsdam Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
3 - 4 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
Compare Universities Illustration
Compare Courses!
You can now compare courses and find which one suits you the best.

Course Overview

This Master of Engineering in Computer Science equips you with advanced skills in algorithms, programming, and machine learning to solve complex, real-world business challenges. The program's core philosophy of computational thinking teaches you to deconstruct large problems and design innovative systems, preparing you for high-level specialist and management roles in technology. It is offered in a flexible hybrid format from our state-of-the-art campus in Potsdam, Germany.

Key Program Highlights

  • Master computational thinking to tackle large-scale problems and analyze big data
  • Gain expertise in high-demand areas like machine learning and advanced programming
  • Flexible hybrid learning model combining in-person and online sessions
  • Study at a prestigious, AMBA-accredited university in the innovation hub of Potsdam
  • Prepares you for leadership roles in IT, consulting, technology management, and entrepreneurship

Requirements

The requirements may vary based on your selected study options.





















The all-in-one solution for your study-abroad needs
Download the Edvoy app now

Related courses










Tuition fee
Apply by
Start date
Apr 2026
Jul 2026
Oct 2026
Jan 2027
Apr 2027
Jul 2027
Oct 2027
Duration
2 years
1 year
1.5 years
Campus
Main Campus
Potsdam Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
3 - 4 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs