Hanze University of Applied Sciences, Groningen
Data Science for Life Sciences
Groningen, Netherlands
DURATION
2 Years
LANGUAGES
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PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
Sep 2024
TUITION FEES
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STUDY FORMAT
On-Campus
Introduction
Data Science for Life Sciences
The Data Science for Life Sciences master’s programme offered by Hanze University of Applied Sciences in Groningen, the Netherlands, is for life science or IT students who want to learn how they can be part of the growing field of data science. After this master, you will possess the skills you need to facilitate and initiate innovations for life science, like programming machine learning applications and managing data storages. With this knowledge, you breach the gap between life sciences and computer technology.
In the master’s programme Data Science for Life Sciences, you will be combining life sciences with data science. You will learn how to use new data processing technologies, write algorithms - for instance to recognize sick cells - and analyse health-data. These skills will help you to contribute to better and more efficient healthcare and aid innovations in the life science industry. In short, you will develop into a data scientist who bridges the gap between domains of life science 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. We train you to work as a professional data scientist, who is up to speed with new technologies and knows how and where to gather necessary information. The master is practice based, so you will spend a lot of time programming and writing computer code, and directly applying your gathered knowledge. This master’s programme responds to a growing demand for data scientists and is the first master at a university of applied sciences in this field.
Research themes
The focus of the master’s programme is mainly on health and agrifood topics:
• Personalised medicine: collecting, integrating and analysing data to arrive at a single-patient diagnosis and treatment plan.
• Quantified self: visualisation of a person’s health data in order to answer health-related questions.
• Integrated omics research: collected fields relevant for data science in life sciences (i.e. fields ending in ‘-omics’).
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Admissions
Scholarships and Funding
Hanze UAS has various scholarship possibilities to aid students financially if they meet the requirements.
For more information, please visit the university's website.
Program Outcome
Master of Science
Program Tuition Fee
Career Opportunities
Postgraduate of the master’s 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
• Scientific programmer