PhD Monitor
/Detail
Computer Science● OpenMastersPreview

Digital Sciences (Master of Science)

A flexible, interdisciplinary Master's programme in Computer, Information, and Data Science.

Best for:Best for students with a strong background in Computer Science or related fields seeking a flexible, project-oriented Master's degree in Germany.

Technische Hochschule Köln - University of Applied Sciences · Gummersbach, Germany · R1 · First-stage researcher
More professors at Technische Hochschule Köln - University of Applied Sciences
Computer ScienceData ScienceInformation ScienceSoftware ArchitectureBusiness Information Systems
This is a masters position — not a PhD studentship.
Deadline
Visit the website for application details.
Funding
—
None (tuition); 353 EUR semester contribution
Start date
Winter or summer semester
Location
Gummersbach
Germany

Overview

The Digital Sciences Master's programme at TH Köln offers a highly customizable curriculum spanning computer science, information science, and data science. Designed for students with a relevant Bachelor's degree, the programme supports personalized learning paths through interdisciplinary projects and industry cooperation. Students can choose from various specializations, with most modules available in English. The programme emphasizes hands-on, laboratory-based training to prepare graduates for professional challenges in a digital-first world.

Master of ScienceDigital SciencesTH KölnComputer ScienceData ScienceSoftware EngineeringInformation Systems

What you'll do

  • Complete a flexible, multi-semester course of study tailored to individual academic goals.
  • Participate in interdisciplinary and agile learning projects.
  • Engage in hands-on, laboratory-based training and research activities.
  • Collaborate on projects with industry partners to gain real-world experience.
  • Fulfill ECTS credit requirements across selected focus areas to achieve specialization.

Requirements

Degree required: Bachelor's degree in Computer Science, Business Information Systems, or a closely related field.

Degree offered: Master of Science

Language: English (B2 level required); German is not required for admission but may be useful for student jobs.

Instruction: English and German

Required skills
  • At least 80 ECTS credits passed in Computer Science or Information and Data Science.
  • Academic performance with a final grade of 'good' or better.
  • English language proficiency at B2 level (e.g., IELTS 6.0 or TOEFL iBT 80).
Eligibility
  • Must hold a Bachelor's degree or equivalent in a relevant discipline.
  • Must meet the specific ECTS credit threshold in Computer Science/Information Science subjects.

Funding & terms

Type
Unknown
Amount
None (tuition); 353 EUR semester contribution
Duration
3-4 semesters
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applications are submitted via the university's designated portal. Prospective students should check the official website for current application periods and specific requirements for the upcoming semester.

Documents required
  • Bachelor's degree certificate
  • Academic transcripts
  • English language proficiency certificate
↗Check programme and admissions

Contact

Lab
Faculty of Computer Science and Engineering Science
Technische Hochschule Köln - University of Applied Sciences
Germany
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.