Are you good at handling lots of data? Would you like to learn more programming techniques and apply them to bridge the gap between computer science and life sciences? After this master, you will possess the skills you need to facilitate and initiate innovations for life sciences, such as programming machine learning applications and managing data storage.
Breach the gap
The Data Science for Life Sciences master programme is aimed at 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 the life science, such as programming machine learning applications and managing data storages. With this knowledge, you breach the gap between life sciences and computer technology.
New data technologies
During this master, you will be combining life sciences with data science. You will learn how to use new data processing technologies, write algorithms - for instance to recognise 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.
Practice-based
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, then directly applying your gathered knowledge. This master programme responds to a growing demand for data scientists and is the first master at a university of applied sciences in this field.
Course overview
The master programme is divided into four semesters.
Semester 1
The first semesters of this programme focus on general skills in the field of data science, programming and life sciences. You will be introduced into the field and work through a project where you can directly apply what you have learnt. Besides these content-related subjects, you will also gain more professional and research skills.
Semester 2-3
The second and third semester are similar to the first. You build on the skills acquired and gradually progress on to more advanced programming and data science techniques. These semesters also aim at improving a wide range of skills, from content-related to more soft skills, which you will put into practice during large projects. In these projects, you can choose your own focus on a subject of your own interest.
Semester 4
In the last semester, you will undertake a graduation project within your specialisation. This final project is carried out independently and individually, usually at a company or research institute.
