Master of Science in Computer Science

Computer Science & IT
Opens for applications 31 August
Overview

The Master's degree in Computer Science can be earned in four semesters at the joint Digital Engineering Faculty of the HPI and the University of Potsdam. This consecutive Master's program is science- and research-oriented. It provides in-depth scientific foundations, advanced specialist knowledge and skills in the field of computer science, as well as advanced methodological, social, and personal skills.

The Master’s program in Computer Science can be studied without a specialization (Open Track) or with one of the specializations (tracks): “Data and AI,” “Algorithms and Foundations,” “Digital Health,” “Security Engineering,” or “Systems.”

The cross-track compulsory modules include the "Research Methods & Ethics" and "Critical Reading and Discussion" modules, which impart methodological competence in the fields of science and research. These modules are applied in the "Computer Science Lab" module, in which a selected research-related question from a track of the program is addressed in a project group. Additionally, students choose one of several practice-oriented professional skills modules, including "Design Thinking," "Entrepreneurship and Innovation," or "Management and Leadership."
 

Degree:Master’s
University:University of Potsdam
Campus:Golm, Germany
Intakes:Summer, Winter.
Total Credits:120 ECTS
URL:https://www.uni-potsdam.de/de/studium/studienangebot/master/computer-science
Program Detail
Duration:2 years
Format:Full-time
Attendance:On Campus Learning
Study Gap:10 years and more
Course Structure/ What You’ll Learn:

Compulsory      24 LP
Computer Science Lab    12 LP
Research Methods & Ethics    6 LP
Critical Reading and Discussion    6 LP

Elective modules—Professional Skills
One module must be selected from the following options. 6 LP
Design Thinking    6 LP
Entrepreneurship and Innovation    6 LP
Law and Compliance    6 LP
Management and Leadership    6 LP
Technology Communication and Transfer    6 LP
Specialization studies    60 LP
I. Track: Data and AI    60 LP
II. Track: Algorithms and Foundations    60 LP
III. Track: Systems    60 LP
Track IV: Digital Health    60 LP
V. Track: Security Engineering    60 LP
VI. Track: Open Track    60 LP
Master's thesis    30 LP
 

Entry Requirement
Language:
  • IELTS - 6.5
  • TOEFL - 88
Key Information
Loan Availability:No
Important Dates:

Winter semester: 01 February - 31 May

Summer semester: 01 September - 30 November
 

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