Masters in Machine Learning

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

Top recruiters

Accenture

Deloitte

IBM

Google

Amazon

Microsoft

Facebook

Twitter

Pinterest

Spotify

Tesla

Meta

Wipro

Fees and Funding

Tuition Fees

$3,000 / year

Overall Cost

$18,000 / year

FAQs

• What are the intake periods and application deadlines?
  
  The program admits students in the winter semester (October start). Application deadlines are usually in spring (April–May) for international students, though exact dates vary each year.
• What career opportunities are available for graduates?
  
  Graduates pursue careers in AI and machine learning research, data science, computer vision, natural language processing, autonomous systems, and AI startups. Many also continue toward PhD programs in machine learning and AI at leading institutions.
• How competitive is admission?
  
  Admission is highly competitive. Applicants are evaluated based on academic excellence, relevant coursework, programming skills, recommendation letters, and motivation. A strong GPA and research or project experience in machine learning or AI increase chances of admission.
• Is knowledge of German required?
  
  No, German proficiency is not required for admission or study, since the program is English-taught. However, learning German may be helpful for living in Tübingen.
• What is the focus of the Master’s in Machine Learning at the University of Tübingen?
  
  The program provides advanced education in machine learning theory, methods, and applications. It emphasizes both foundational principles (mathematics, statistics, algorithms) and practical skills (deep learning, reinforcement learning, natural language processing, and computer vision).