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Statistics & Data Science MS,LMU:All you need to know

by | LUM, Masters

Statistics & Data Science MS,LMU:All you need to know

by | Jul 15, 2024 | LUM, Masters

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tu munich aerospace masters

Overview

The M.Sc. in Statistics and Data Science at Ludwig Maximilian University is a dynamic and comprehensive program designed for students keen on mastering statistical methods and data analysis techniques.

This program blends traditional statistical theory with the latest developments in data science, offering a robust curriculum that includes courses in probability, statistical inference, machine learning, big data analytics, and computational statistics. Students gain practical experience through hands-on projects and case studies, learning to apply statistical methods to real-world data from various domains like finance, biology, and social sciences.

 

Course Details

University LMU – Ludwig-Maximilians-Universität München
Program Name Statistics and Data Science
Degree M.Sc. (Master of Science)
Subjects Mathematics, Data Science, Statistics
Language English
Study Mode On campus
Application Deadlines Winter semester: 15 Jul; Summer semester: 15 Jan
Duration 2 Years (starting: Both semesters)
Tuition Fees Free
Qualification Requirements Bachelor’s degree in statistics or data science as a major, minor, or focus
Language Requirements CEFR English min B2, CEFR German min A1
Application Procedure Directly at the University
Application Fee None

 

Admission Documents

  1. Bachelor’s Degree Certificate: Provide a certificate of your Bachelor’s degree, including the final average grade and an explanation of the grading scale. The scale must indicate the minimum passing grade and the maximum achievable grade. Applications lacking proof of the average grade and grading scale, certified by your examination office, will be rejected.
  2. Course Records/Transcripts: Submit an outline of lecture courses or transcripts of records. If your transcript lists all course names, additional syllabi are not necessary.
  3. Official Translations: For documents not in German or English, provide an official translation.
  4. Current Bachelor’s Students: If you haven’t completed your Bachelor’s studies, submit an official transcript of all examination results to date, including an overall weighted average grade certified by your university’s examination office. Conditional admission offers depend on your final grade. At the time of application, you should have completed at least 75% of your Bachelor’s curriculum (e.g., 135 ECTS points for a 180 ECTS course).
  5. Proof of English Proficiency: Refer to the specific language requirements for details.
  6. Curriculum Vitae: Upload your current CV in English.
  7. Motivation Letter: Prepare a motivation letter in English (2,000 to 3,000 characters)

Career opportunities

  1. Data Analyst: Graduates can work as data analysts, extracting valuable insights from large datasets to support decision-making in various industries, including finance, healthcare, and marketing.
  2. Data Scientist: With advanced statistical and analytical skills, graduates are well-suited for roles as data scientists, where they can build predictive models, conduct deep data analyses, and develop machine learning algorithms.
  3. Business Intelligence: Careers in business intelligence involve creating dashboards and reports to help organizations make data-driven decisions. Graduates can work as business intelligence analysts or consultants.
  4. Research and Academia: For those interested in research and academia, this degree serves as a foundation for pursuing a Ph.D. and becoming professors or researchers in universities and research institutions.
  5. Consulting: Many consulting firms seek experts in statistics and data science to provide data-driven solutions and insights to clients across various industries, making consulting roles a popular choice for graduates.

 

 

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Lingo education Organisation