Welcome to the MSc Data Science

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.
Career Options
The Data Science master's degree programme focuses on competencies and skills that usually play a central role in the following job titles:
Data Scientist:
As a Data Scientist, you'll analyze complex datasets to extract valuable insights, build predictive models, and contribute to data-driven decision-making within organizations.
Machine Learning Engineer:
Specialize in designing and implementing machine learning algorithms to enable systems to make predictions and decisions without explicit programming.
Big Data Engineer:
Work with large-scale data processing systems and frameworks to develop, maintain, and optimize the architecture for handling massive volumes of data.
Business Intelligence (BI) Analyst:
Use data visualization tools to translate complex datasets into actionable insights, helping organizations make informed business decisions.
Data Architect:
Design and create data systems, databases, and large-scale processing systems to support the storage and retrieval of vast amounts of information.
Data Analyst:
Focus on interpreting and analyzing data, providing insights to support decision-making, and helping organizations understand trends and patterns.
Quantitative Analyst:
Apply statistical techniques to financial data, helping investment firms and businesses make data-driven decisions in areas like risk management and investment strategies.
Research Scientist (in academia or industry):
Contribute to cutting-edge research in data science, pushing the boundaries of knowledge and technology.
Data Engineer:
Develop, construct, test, and maintain data architectures, ensuring they're aligned with organizational goals and capable of supporting data analytics.
AI Consultant:
Offer expertise in implementing artificial intelligence solutions for businesses, helping them leverage AI technologies to enhance operations and decision-making.
Healthcare Data Analyst:
Work in the healthcare sector, analyzing patient data, optimizing hospital processes, and contributing to medical research.
Cybersecurity Analyst:
Focus on protecting organizations from cyber threats by analyzing and interpreting data to identify potential security issues.