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Ludwig Maximilians University Munich

Munich

Statistics & Data Science

Subjects: Statistics;Data Science;Data

M.Sc. | Master of Science

⏳  Duration
4 Semesters
🔠 Teaching Language
English
💶  Application Fee non-EU
No information

💶  Cost per Semester ? Separate from the tuition fees, the cost per semester refers to another fee students pay each semester, covering registration fees, administrative costs, and often a public transport ticket.
85 EUR

💶  Tuition Fees per Semester
No Tuition Fee
⏱️ Application Deadline Summer
15.01.

⏱️ Application Deadline Winter
01.03.

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 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
15.01.
⏱️ Application Start Winter
No information

⏱️ Application Deadline Winter
01.03.

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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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