PhD in Data Science

Class Profile

Class Size

25

Average Age

28

Average Work Experience

2 Years

Diversity

Europe:

10%

Africa:

1%

Others:

1%

Germany:

80%

Asia:

5%

North America:

2%

South America:

1%

Career Outcomes

Median Earnings After Graduation

$1,10,000 / year

Job Placement

94%

Top recruiters

EY

Google

Microsoft

Goldman Sachs

Morgan Stanley

McKinsey

Twitter

JP Morgan Chase

Tesla

Meta

Micron Technology

PWC

Google Cloud

Fees and Funding

Tuition Fees

$12,000 / year

Overall Cost

$27,000 / year

FAQs

• What support does TUM Graduate School offer during the PhD?
  
  As a TUM doctoral candidate, you join the TUM Graduate School, which provides structured qualification programs, international support, and career guidance. It also includes mandatory and optional training modules, mentoring, and the supervision structure
• Is there a general application deadline?
  
  No. TUM does not have a general application deadline for PhDs—foreigners may find deadlines on specific School or chair pages, but generally applications can be submitted year-round
• Do I need a PhD supervisor before applying?
  
  Yes. Securing a supervisor at TUM is the first essential step, and without one you cannot submit a PhD application
• Are there specific language requirements?
  
  No formal proof like TOEFL or IELTS is required, but you must demonstrate very good written and spoken English (C1 level) to work with supervisors and peers. German skills are not mandatory but helpful for daily life in Germany
• What are the formal requirements to start a PhD at TUM?
  
  A Master’s degree (or equivalent) with above-average performance (grade ≤ 2.5 or “good”) is required; only a Bachelor’s degree is not sufficient unless under a structured program, and that is rare at TUM If you have a foreign degree, it must be directly comparable to a German master’s degree; recognition is only determined once you have a confirmed TUM supervisor, not beforehand