Master of Science in Mathematical Data Science

The Master of Science in Mathematical Data Science at Ulm University is designed to equip students with advanced skills in mathematical methodologies and their applications in data science. The program encompasses comprehensive modules that cover statistical theory, data analysis, machine learning, and computational mathematics, fostering both theoretical understanding and practical capabilities. This interdisciplinary approach enhances students' proficiency in addressing complex real-world problems, making them highly suited for various industries.

Structured over four semesters, the program offers a blend of theoretical coursework and hands-on projects. Students earn ECTS credits through a mix of lectures, seminars, and an integrated internship or practical semester, which is crucial for gaining industry experience. Furthermore, a master’s thesis allows students to conduct in-depth research, applying the methodologies learned in their studies to real data challenges.

This program is ideal for individuals with a background in mathematics or related fields who are interested in leveraging their quantitative skills to tackle challenges in data analysis and interpretation. It combines rigorous academic training with practical experience, making it suitable for both aspiring researchers and students keen on entering the rapidly evolving data science sector.

• Data Scientist
• Statistician
• Quantitative Analyst
• Machine Learning Engineer
• Research Scientist

Graduates of this program often find roles in various industries, including technology, finance, healthcare, and automotive sectors. The strong emphasis on collaboration with the Mittelstand and industry partners in Germany enhances employment opportunities.

Upon graduation, international students benefit from an 18-month post-study job-seeking permit, enabling them to explore career options in Germany while leveraging their educational background.