

University of Europe for Applied Sciences (Innovation Hub)
Data Science
Study detals
: Master's degree : MSc in Data Science : Full time : 12/18 or 24 MonthRequirements
Admission Requirements
- HIGH SCHOOL/ BACHELOR DIPLOMA AND TRANSCRIPT
Undergraduate degree (Bachelor’s, MBA, or Master) officially translated to English or German. - CURRICULUM VITAE (CV) (Dated & Signed)
– Professional experience: at least 1 year after the first qualifying university degree - COPY OF PASSPORT (SCANNED)
- MOTIVATION LETTER (MIN 500 WORDS)
- LANGUAGE PROFICIENCY
English language certificate
– IELTS 6.0 overall / B2 Level
– TOEFL iBT 72
– TOEFL ITP (paper based) 543
– Pearson Test of English (Academic) 59
– Pearson Test of English (General) Level 1
– Cambridge English Advanced and Proficiency 169 overall
– Cambridge Exam First (FCE) B2 CEFR = First (FCE), 160
– TOEIC Listening 400, Reading 385, Speaking 160, Writing 150
– PASSWORD 6.0
– EF SET (50-minute Test) 60 (only for students applying with a MOI letter)
– Duolingo 105
Speciality
The MSc Data Science curriculum at the University of Europe for Applied Sciences gives students the choice between two, three or four semesters in which they will learn in-demand data science skills in today’s job market.
Additional information
Data Unveiled, Insights Unleashed
New waves of innovations surrounding analytic services have had a significant impact on business and technology in recent years. In this master’s in data science programme, you will gain in-demand data science skills 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 digitisation is another core focus during the data science master’s degree.
During the interdisciplinary electives, you can tailor your studies to suit your career goals by selecting modules from the programme’s vast portfolio of game design, UX/UI design or digital media communication. A contemporary leadership and culture module prepares you for leadership in the future.
The practical application of data analytics for business decisions and the emergence of new business areas via data and digitisation is another core focus during the data science master’s degree.
During the interdisciplinary electives, you can tailor your studies to suit your career goals by selecting modules from the programme’s vast portfolio of game design, UX/UI design or digital media communication. A contemporary leadership and culture module prepares you for leadership in the future.
What happens after your studies
After your studies, you will not only be an expert in business issues, but above all you will have the best qualifications and thus be decisive for the success of projects in various industries and organisations.
- Career Opportunities: Data Scientist, Data Analyst, Big Data Engineer & Data Consultant
- Skills: Data Preprocessing, Problem-Solving, Ethics and Privacy, Statistical Analysis & more