Description
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.
Category: Tech and software master’s
Degree: Master of Science, MSc
Starting semesters
- Winter semester: September
Duration: 2,3 or 4 Semesters
Language of instruction: English
Tuition fee
90 ECTS & 120 ECTS:
- EU Applicants: 11,988 € yearly
- Non-EU Applicants: 13,188 € yearly
60 ECTS:
- EU Applicants: 13,000 € yearly
- Non-EU Applicants: 14,300 € yearly
Internship semester / semester abroad: 5th Semester
Credits:
Standard: 120 ECTS
Fast-Track: 60 or 90 ECTS
*Important note: There is no guarantee that classroom teaching will be possible throughout the semester due to COVID-19.
Campus: Innovation Hub near Berlin
What you'll learn
The skillset of a data scientist is required in all business and tech industries. You’ll acquire the necessary tools to become a product owner of digital products for creating B2B or B2C solutions or for the improvement of internal processes. You will have the skill set to manage advanced market analytics projects or improve processes in logistics, supply chains or manufacturing by leading digitization processes.
Career roles:
Your career path may eventually lead you to become head of business intelligence or a chief digital officer in an organization.
Curriculum
- Data analytics Data engineering Decision support system Data science and business Entrepreneurial Thinking & Digital Models Advanced Research Methodologies
