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
