Master Business Intelligence & Data Science

Programme Overview

The Master in Business Intelligence & Data Science at the International School of Management (ISM) in Dortmund is designed for students looking to delve deep into the realm of data-driven decision-making. Focused on modern analytical techniques, students will explore topics such as machine learning, data mining, and predictive analytics. This programme is structured over four semesters, providing students with an in-depth understanding of data systems and their application in the business environment.

In keeping with the standards of higher education in Germany, this master's degree comprises four semesters that include a combination of theoretical and practical modules. Students will engage in a range of subjects, earning ECTS credits that will contribute toward their final degree. The curriculum culminates in a thesis that allows students to apply their knowledge to real-world problems, demonstrating their ability to analyze and interpret data effectively.

The programme also incorporates a practical component, which is ideal for those looking to gain hands-on experience in the field. This may include an internship or project work with industry partners, which is facilitated by ISM’s connections, particularly with the Mittelstand – the backbone of the German economy. Students will gain essential skills in critical thinking, statistical analysis, and programming, preparing them for various careers in data science and business intelligence.

This master's programme is well-suited for individuals who have a background in information systems, computer science, or a related field and are looking to advance their careers in the increasingly competitive data landscape. With an 18-month post-study job-seeking permit, graduates can explore employment opportunities across Germany while applying their newly acquired skills.

Career Outcomes

• Data Analyst - Engaging in data collection and interpretation to support business decisions.
• Business Intelligence Consultant - Assisting organizations in optimizing their operations through data-driven insights.
• Data Scientist - Developing advanced analytical models to solve complex business challenges.
• Machine Learning Engineer - Designing and implementing machine learning algorithms for predictive analysis.
• Data Engineer - Building and managing the infrastructure and tools that allow data to be used effectively.

The industries that commonly hire graduates from this programme include finance, technology, healthcare, and manufacturing, reflecting the diverse application of data science across sectors.