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Ludwig Maximilians University Munich
Munich
Statistics & Data Science
Subjects: Statistics;Data Science;Data
M.Sc. | Master of Science
Course description
The Master's Program in Statistics and Data Science offers a robust curriculum aimed at deepening your grasp of essential scientific principles and statistical methods. Beyond the core modules, you will choose to specialize in one of five tracks. Each track provides a thorough exploration and advanced coursework in specific areas of statistics and data science. The available tracks are: 1. **Machine Learning**: Dive into algorithms and predictive models that drive modern AI. 2. **Biostatistics**: Focus on statistical methods in biological and health sciences. 3. **Social Statistics and Data Science**: Analyze data to understand social phenomena. 4. **Econometrics**: Apply statistical techniques to economic data and models. 5. **Methodology and Modeling**: Develop and refine statistical models and methodologies. For more details on these specialized tracks, refer to the documents in the study information section.
Program Information
| Study Location | Munich |
| Start Semester | Summer, Winter |
| Study Form | Full-time |
| Study Type | Postgraduate |
| Teaching Language | English |
| Dual | No |
| Remote | No |
| Application Fee non-EU | No information |
| Study Length | 4 Semesters |
| Tuition Fees per Semester | No Tuition Fee |
| Cost per Semester | 85.0 EUR |
Step 2 - Check Application Requirements
Application Requirements
Language Requirements
| CEFR | No information |
| IELTS | No information |
| Cambridge (CAE) | No information |
| TOEFL IBT | No information |
English proficiency B2 (or English degree).
Qualification Requirements
Bachelor's degree (180 ECTS) in Statistics or Data Science as a major, minor, or focus. At least 150 ECTS (equal to 5 semesters) must be proven by the time of application, final degree can be submitted later. English proficiency B2 (or English degree).
Application Process
| Acceptance Interview | Yes |
| Acceptance local admission restrictions | Admission Exam |
| Application | directly at the University |
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