PhD in Data Science

Class Profile

Class Size

25

Average Age

28

Average Work Experience

2 Years

Diversity

North America:

5%

Africa:

1%

Others:

2%

Asia:

10%

South America:

2%

Europe:

40%

Germany:

50%

Career Outcomes

Median Earnings After Graduation

$1,10,000 / year

Top recruiters

Accenture

Deloitte

KPMG

IBM

Google

World Health Organization

Amazon

Microsoft

Oracle

Apple

Tesla

Fees and Funding

Tuition Fees

$3,000 / year

Overall Cost

$18,000 / year

FAQs

• What makes Mannheim unique?
  
  Mannheim is nationally recognized for its excellence in economics, business informatics, and social sciences. Its structured doctoral programs are part of Germany’s Excellence Initiative, giving access to top-tier funding, faculty, and research networks.
• What research areas are available?
  
  Data science and AI/ML within the PhD emphasize machine learning, data management, consumer analytics, business informatics, algorithmic modeling, and applied research across business and social sciences.
• What training and coursework are included?
  
  Structured programs include advanced coursework in quantitative methods, AI/ML, seminars, skill workshops, and a dissertation proposal phase during the first year. After successful evaluation, students begin full-time research with their supervisor to complete the dissertation .
• Is funding guaranteed?
  
  Yes. In structured doctoral programs such as those at GESS (Graduate School of Economic and Social Sciences), accepted students receive full funding for up to five years. This includes a scholarship during the course phase and opportunities for research/teaching assistantships in later years.
• Who is eligible to apply?
  
  The PhD is open to candidates with a relevant master’s degree, or equivalent qualification in fields such as Computer Science, Data Science, Mathematics, Economics, or related areas. Applicants with strong quantitative backgrounds may also be considered.