ESG Data Science
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Requirements

    • Bachelor of Science (or equivalent) in Statistics or Informatics or related disciplines (at least 180 ECTS or equivalent).
    • Excellent knowledge in Informatics and Statistics. Applicants need to provide evidence of knowledge in
      • Data-based modelling: this includes, for example, statistics, data mining, probability theory, machine learning (at least 30 ECTS or equivalent) (Average Grade 1)
      • Computational Methods: this includes, for example, informatics, database-oriented methods, computational statistics, optimisation procedures (at least 30 ECTS or equivalent) (Average Grade 2)
    • Overall average grade must be better than 1.5. Overall average grade is composed of Average Grade 1, Average Grade 2 and an average grade from the best performance (equivalent to 150 ECTS = Average Grade 3)
    • Proficiency in English (at least B2 CEFR (or equivalent); or English university entrance qualification; or first degree in English).

You need to fulfill all the requirements if you want to apply.

For information on requirements see also the slides of the information event at LMU Munich on 9 February 2017.

For any questions regarding requirements please contact us by email: m-datascience@lmu.de


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