Master’s in AI Scholarships for Students from Underrepresented Groups

Are you a highly qualified master’s student from an underrepresented group with a passion for Artificial Intelligence? The prestigious Konrad Zuse Master's in AI Scholarship offers a unique opportunity to pursue your studies in Germany.

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Scholarship Information

Target group:

  • Highly qualified master’s students from underrepresented groups.
  • Individuals facing various forms of underrepresentation, whether in terms of gender, sexual orientation, nationality or other.

Aim:

  • Increase diversity in Artificial Intelligence (AI).
  • Support students who may find it challenging to study in Germany.

Arrangements:

  • Integration: scholarship holders have the option of joining an ELIZA fellow’s research group during their master’s studies.
  • Thesis supervision: master’s theses will be supervised by an ELIZA fellow, either from academia or industry.
  • Co-supervision: while optional, students are encouraged to benefit from the co-supervision of a second ELIZA fellow located at a different site.
  • Curriculum participation: scholarship holders will follow the ELIZA curriculum.
  • Course credit: possibility of enrolling in cross-listed master’s level courses from affiliated institutions and receiving regular course credit.
  • Compliance: students must adhere to the master’s regulations of the hosting institution.

Funding:

  • Funding will follow the official DAAD (German Academic Exchange Service) rates.
  • Additional support for married candidates and those with children.
  • Relocation assistance is provided, with the specific amount depending on individual circumstances and following DAAD guidelines.

Duration of Funding:

  • Funding is available until completion of the master’s program or for the standard study period (regelstudienzeit), typically two years after beginning the programme, whichever comes first.
  • The default funding period is two years, though shorter durations may be considered in exceptional cases.

Admissions:

  • The cut-off dates every year are the 25th of April and 25th of October, then scholarship decisions will be made for the respective semester.
  • Only students from underrepresented groups are eligible to apply.
  • Key criteria for acceptance include outstanding aptitude for master’s studies in machine learning-driven AI, strong undergraduate academic performance, a diverse background (including international perspectives), motivation, and alignment with the four research areas of ELIZA.
  • Candidates must meet the master’s admission requirements of the hosting institution.

Application process:

Our Commitment to Diversity 

At ELIZA, we firmly believe that a diverse and inclusive environment is paramount to advancing innovation and excellence in Artificial Intelligence. The Konrad Zuse Master’s in AI Scholarships for Students from Underrepresented Groups embodies this commitment by providing crucial support and opportunities for gifted individuals from a range of backgrounds. We are dedicated to creating a vibrant and equitable community, where a multitude of perspectives enriches our research and educational endeavours in machine learning-driven AI.