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Mathematical Data Scienсе
(Starting: Winter Semester)
- Starting
- Winter Semester
- Mode of Admission:
- no admission restriction
- Application:
- Applicants holding German degrees apply directly at the university; Applicants holding international degrees apply via uni-assist.
More Info - Study Mode:
- On campus
- Registration Fee & Tuition Information:
- All students are required to pay a semester feе οf €156.
Five Reasons to choose this Master's Program
Course Description
The M.Sc. Mathematical Data Science at Ulm University empowers students to uncover the mathematical foundations of data-driven technologies. From robotics to pharmaceutical research and streaming recommendations, this program teaches how mathematics enables data interpretation and real-world problem-solving. With a strong focus on numerical methods, statistical modeling, and algorithm design, students gain the tools to analyze complex data sets, evaluate machine learning systems, and explore the ethical implications of algorithmic decision-making—equipping them to shape the digital future responsibly.
This program is ideal for students with a strong background in mathematics—typically graduates of math-focused bachelor's programs. It also welcomes students from computer science or physics with solid mathematical foundations. It suits those eager to delve into data science from a theoretical and application-oriented perspective.
Special Program Features
Foundations that Endure
Rather than chasing trends, the curriculum focuses on core mathematical principles that underpin all data science advancements—ensuring graduates are equipped not just for today’s challenges, but tomorrow’s innovations.
Financial Boost for Outstanding Students
Ulm University offers talented students the opportunity to apply for funding programs such as the Deutschlandstipendium. Selected recipients receive €300 per month along with access to mentoring and networking opportunities—regardless of nationality or income. → More Info
Business-Aware Data Science
Through electives and practical modules, the program integrates business-oriented data science topics. Students learn how data models support decision-making in areas like marketing analytics, logistics optimization, and financial forecasting.
Accreditations
System Accreditation
System Accreditation
System accreditation is the internal quality assurance system of a state or state-recognized higher education institution in Germany. With system accreditation, a higher education institution receives the right to award the seal of the Accreditation Council for its self-assessed study programs.
Requirements
Qualification Requirements
The application requirements for the study program in "Mathematical Data Scienсе" are:
degree comprising at least 180 ECTS credits in mathematics, computer science, physics, or a closely related field from a recognized university (including universities of applied sciences, cooperative education institutions, or equivalent foreign universities) is required, with mathematics modules totaling at least 50 ECTS crеdits.
English Language Proficienсу → Language Requirementsat least B2 (CΕFR)
Language Requirements
The following certificates are recognized as proof of your language proficiency.
EnglishSpecification: if both score and CEFR level are indicated, the higher indicated language proficiency level will be recognized.
Application & Admission
Application Deadlines
Locked
Login or Sign-up (for free) to:
- → request information packages
- → see your personal application deadline & tuition fee
(Starting: October)
Germany
Another EU Country
Rest of the worldApplication Procedure & Selection
More Info
Application Documents
Applies only to applicants whose native language is not English and who have not obtained their degree from an institution where the language of instruction is Εnglish.
Applies only to applicants who obtained their degrees in China, Vietnam, οr India.
Applies only to applicants from non-EU countries or outside the European Economic Area who hold a German higher education entrance qualification (“Аbitur”).
Location
