Munich Graduate School of Economics
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Application to the MGSE

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Doctoral Scholarships and Doctoral Positions as Research or Teaching Assistants

Successful candidates, who pursue their doctoral studies at the MGSE, are provided with an advanced training for in-depth research in economics. The doctoral program has a strong focus on the application of state-of-the-art methods. It combines demanding course work and an early start of individual research. Positions offer comprehensive supervising and mentoring schemes, excellent international contacts, and access to an outstanding research infrastructure from one of Europe’s top 10 universities.

Positions

Generally, doctoral students are paid according to a 75% position under the German TVL-E 13 payment scheme (or a roughly equivalent scholarship). The exact salary might slightly vary depending on personal circumstances, the affiliating institution and the teaching load the position might carry (maximally 5 hours per week during the semester). Your specific affiliation and funding depend on and will be matched according to your research interests to one of the following institutions or research programs:

Formal Requirements

Please note that our programs are extremely competitive. On average, only 2-5% of all applicants per cohort are admitted.

  1. Master's Degree and Transcript of Records
  2. Bachelor's Degree and Transcript of Records
  3. Letter of Motivation
  4. CV
  5. Proof of English
  6. GRE Test Results
  7. Recommendation Letters
  8. Certificate of Secondary Education (eg High School Diploma, Arbitur)
  9. APS Certificate (if required)
1. Master's Degree and Transcript of Records
We require knowledge in microeconomics, macroeconomics, and econometrics at an advanced master's level. The standard entry requirement is a completed master's degree in economics. The degree should be passed with distinction (a minimum average grade of 2.5 in the German system).

Students who possess a master's degree in a field closely related to economics are also welcome to apply. This includes graduates holding a degree from fields such as statistics, mathematics, physics, or other fields with a solid education in quantitative methods.

If you have not yet finished your current degree, please attach a preliminary grade report.

2. Bachelor's Degree and Transcript of Records

3. Letter of Motivation
Must be in English and no longer than one page.

4. CV
Must be in English and no longer than two pages.

5. Proof of English
English proficiency can be proven in one of the following ways:
  1. TOEFL or IELTS test results
  2. Completing a master's degree from an English-speaking university or program
  3. Being a native speaker

6. GRE Test Results
We expect results on the quantitative section above the 80th percentile, though successful applicants usually score above the 90th percentile. Results must be sent to MGSE directly from the ETS. Code number for MGSE: 1883.

7. Recommendation Letters
You will be required to provide contact details of two academic referees who have agreed to write a letter of recommendation for you. They will need to upload the recommendation letters, containing official university letterhead and the signature of the referee, directly to the application system.

8. Certificate of Secondary Education

9. APS Certificate
Applicants from Chinese universities are strongly recommend to submit approval of their master's degree from the APS (Akademische Prüfstelle) in Beijing. For more information visit* www.aps.org.cn.

Notes

  • Any missing graduate-level training will have to be passed within the first six months of the program.
  • All documents must either be in English or German (with the exception of the letter of motivation and CV, which must be in English). Documents in other languages will need to be submitted with a certified translation into either English or German.
  • Fluency in German is not required for admission.
  • Students need to prove that their master’s degree will be completed by end of August at the latest to be employed starting in October.
  • Answers to the most common questions are found in our FAQs. If you have any doubts as to whether you fulfill the requirements specified above, please feel free to contact us.

Information regarding Article 13 of the EU Regulation 2016/79 on the protection of natural persons with regard to the processing of personal data (GDPR, German: DS-GVO) is available on our university website www.en.econ.lmu.de/jobs. Please be aware that confidentiality violations and unauthorized third party access cannot be ruled out when using unencrypted e-mail communication.

*Legal notice: MGSE does not take any form of responsibility concerning the content of links that are directed outside our own website.