Overview
Course Details
University | LMU – Ludwig-Maximilians-Universität München |
Program Name | Data Science |
Degree | M.Sc. (Data Science) |
Subjects | Computer Science, Mathematics, Data Science, Statistics |
Language | English |
Application Deadlines | Winter semester: 01 Jun |
Duration | 2 Years (starting Winter semester) |
Tuition Fees | Free |
Mode of Admission | Local admission restriction |
Qualification Requirements | Bachelor’s degree in statistics, informatics, or related disciplines |
Language Requirements | CEFR English min B2 |
Study Mode | On Campus |
Application Fee | None |
Admission Documents
- Transcript of Records: Attach your academic transcript.
2. Bachelor Certificate: If not yet available, it must be submitted by September 30th.
3. Essay on Data Science: Write an essay (max. 1,000 words) discussing data science developments, perspectives, your planned specialization, and relevant experience.
4. Proof of English Proficiency: Refer to the language requirements for specifics.
5. Online Application Specifics: Check the online application for detailed information on required documents.
6. Additional Documents (Optional): Consider submitting other relevant documents, like enrolment certificates or vocational certificates from the IT sector.
7. Certified Translations: Non-German or English documents must have certified translations.
8. Online Applications Only: The university accepts only online applications; do not send documents by email.
9. For International Applicants: Those without German citizenship and with qualifications from non-German institutions must also apply to the LMU International Office.
Career opportunities
Data Scientist: Analyze and interpret complex data sets to extract valuable insights, patterns, and trends for organizations in various industries.
Machine Learning Engineer: Develop and implement machine learning models and algorithms to create predictive and analytical solutions, especially in fields like artificial intelligence and automation.
Data Analyst: Focus on data analysis and reporting, helping businesses make informed decisions based on data-driven insights.
Business Intelligence Analyst: Work on collecting, analyzing, and visualizing data to support strategic decision-making within organizations.
Data Engineer: Build and maintain data pipelines and infrastructure, ensuring data availability and reliability for data-driven applications and analytics.