Data Science for Life Sciences

Data Science for Life Sciences

Степень магистра
18 months
Application deadlines: 1 June
Processing time: 30 days
Application fee: €24
Очно
Intakes: September
International tuition: €7,700
Domestic tuition: €2,083

Обзор программы

The Data Science for Life Sciences degree programme is aimed at a new generation of data scientists who, in addition to conducting research, are able to facilitate and initiate innovations for the Life Science industry.

Варианты обучения

This program can be done
В кампусе

Требования

Экзамены:

  • IELTS
  • TOEFL iBT
  • TOEFL PBT
Dutch applicants: Bachelor's degree from the Institute for Life Science and Technology Bachelor's degree in Medical Imaging and Radiation Therapy Bachelor's degree in ICT from a university of applied sciences Bachelor's degree in Electrical Engineering, Sensor Technology major (with the skills English, Statistics and programming) International applicants: • BSc in Biology, Life Sciences, Informatics or equivalent English level: 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. Students holding an International or European Baccalaureate are also exempted, as are students with a previous qualification issued in the United States of America, Canada, Australia, New Zealand, Great Britain or Ireland. Finally, the exemption applies to students who hold a previous qualification issued outside the EEA if they can submit a statement from the educational institution where they took the course testifying that it was taught in English. Entrance level: In general, holders of a Bachelor's degree within the fields described above must deliver documented proof of knowledge and skills in the disciplines of programming, data science and biology. Demonstrated proof is either a diploma, a certificate, a portfolio or a sufficient grade of the entry test.

Карьерные возможности

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-statistican • Scientist • Scientist researcher