PhD in Statistics

Class Profile

Class Size

25

Average Age

28

Average Work Experience

2 Years

Diversity

Africa:

1%

Asia:

5%

South America:

1%

Europe:

20%

North America:

3%

Germany:

70%

Career Outcomes

Median Earnings After Graduation

$1,10,000 / year

Top recruiters

Accenture

Deloitte

KPMG

Amazon

Microsoft

JPMorgan Chase

Cisco

Oracle

Facebook

Pinterest

Tesla

The Coca-Cola Company

FAQs

• Is knowledge of German required for admission or participation in the program?
  
  No, the program is conducted entirely in English. Knowledge of German is not required for academic purposes but may help with everyday life in Munich.
• What are the eligibility requirements for the MCML PhD program?
  
  Applicants must hold or be completing a Master’s degree in a relevant field such as Computer Science, Mathematics, Physics, Statistics, or Data Science by the program start date. English proficiency and a strong academic record are also required.
• When does the application cycle for the MCML PhD program open and close?
  
  The application portal typically opens in mid to late October and closes in mid to late November. Interviews take place from December to January, and final decisions are communicated between February and March.
• What is the Munich Center for Machine Learning (MCML)?
  
  MCML is a research center that supports interdisciplinary research in machine learning. It offers a fully funded PhD program through LMU and TUM with placement in one of three clusters: Foundations of Machine Learning, Perception Vision and NLP, and Domain-Specific Machine Learning.
• What PhD programs are available at LMU Munich in the areas of Statistics, Computer Science, or Machine Learning?
  
  LMU Munich offers PhD opportunities in Statistics and Computer Science. It also participates in the Munich Center for Machine Learning (MCML), a joint initiative between LMU and TUM that offers structured PhD programs in machine learning.