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Data Science, MSc

University of Europe for Applied Science, Germany
Overview Course Requirements Syllabus
Data Science, MSc
Next enrollment cycle September 2024 See all cycles
First Year Fee KES 1,792,667
2 Years On Campus Postgraduate Degree Up to 25% scholarship

Based on 90ECTS or 120 ECTS New waves of innovations surrounding analytic services have had a significant impact on business and technology over recent years. In this master’s program, you will learn all relevant data science skills which are in demand across all industries in today’s job market.

  • The practical application of data analytics for business decisions and the emergence of new business areas via data and digitization are another core focus during the course. During the interdisciplinary electives, you have the opportunity to tailor your studies to suit your career goals by selecting modules out of the program’s vast portfolio of game design, UX/UI design or digital media communication. A contemporary leadership and culture module prepares you for you for leadership in the future.

Enrollment Cycles

  • September 2024
  • March 2025

Entry Requirements

Admission requirements

  • Application Form (no application fee)
  • Motivation Letter (500 words)
  • School Transcripts & Certificate
  • CV (showing no Gaps)
  • Passport biodata page
  • Passport Size photo
  • Proof of Language proficiency

For Master degrees:

  • Bachelor Degree
  • Transcripts & Certificate
  • Especial Requirements
  • (depending on major):
  • Online test
  • Portfolio

English Proficiency requirement options (keeping in mind visa requirements)

  • IELTS: 5.5 overall score (preferable)
  • Medium of instruction letter 50min version of the EFSET
  • TOEFL: 72
  • Duolingo: 90
  • Pearson test of English: 59

Note: Students applying to English taught programs do not need to show German Language Proficiency

1st Semester

  • Data Analytics
  • Data Engineering
  • Decision Support Systems
  • Data Science & Business
  • Entrepreneurial Thinking & Digital Models
  • Contemporary Leadership Culture (Social Skills)

2nd Semester

  • Cloud Computing
  • Machine Learning
  • Data Visualization
  • Marketing Analytics
  • Comparative Cultural Studies
  • Interdisciplinary Elective (z.B. aus IDM oder ISEM)

3 rd Semester

  • Capstone Project
  • Advanced Research Methodologies
  • Speculative Futures
  • Business Coaching

4 th Semester

  • Thesis & Colloquium

Interested in this course?

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