O que eu aprenderei?

In the master programme in Data Science for Life Sciences (DSLS), you will be combining your knowledge of life sciences with data science. You will work as a professional on new data processing technologies, so contributing to healthcare and innovations in the Life Science industry. In short, you will develop into a data scientist who bridges the gap between domains of life sciences and technology. You will play an active role in ensuring that the data generated by the exponential growth in databases and medical databases is exploited to the full. The data scientist of the future must be up to speed with new developments in the professional field and must know exactly how and where the necessary information can be gathered and integrated in order to reach a well-informed research conclusion. This master programme responds to the growing demand for data scientists and is the first master at a university of applied sciences in this field.

Career opportunities

Graduates of the master programme will find jobs within a wide range of fields, including ones in scientific research, industry and policymaking, such as:

  • Senior scientist
  • Big data engineer
  • Bio-statistician
  • Scientist
  • Scientist researcher

De qual departamento farei parte?

Institute of Engineering

Opções de estudo

Período integral (3 semestres)

Valores
€7.700,00 (R$ 41.765) por ano
Data de início

Esperado Setembro 2020

Localização

Hanze University of Applied Sciences

Groningen Campus,

Van OlstToren, Zernikeplein 7,

Groningen,

9747 AS, Netherlands

Requisitos de admissão

Para estudantes do(s)/da Brasil

Other English Language Requirements: Minimum score TOEFL Paper 550 / TOEFL comp 213.

Para estudantes internacionais

BSc in Biology, Life Sciences, Informatics or equivalent

IELTS test, the required score is 6.5, with no sub scores below 6;

Cambridge Advanced Exam in English: B minimum; or

Cambridge Proficiency Exam in English: C minimum.

TOEFL Paper based - 550; Computer based - 213; Internet based - 79/80; TOEIC - 670.

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