Data Science for Life Sciences

Projects with impact

During your master’s, you will be involved with projects that combine working in research, education and industry. Through applied research you come up with innovative solutions for genuine societal issues. Below, you can find some examples of projects our master’s students engage in.

About this programme

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 are also aimed 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.

More details about the courses can be found in the Student Manual. 

Entry requirements

The entry requirements for our master’s programme are as follows:

• A Bachelor's degree from one of the following programmes:
  • Institute for Life Science & Technology (Hanze University of Applied Science)
  • Medical Imaging and Radiation Therapy
  • Communication, Media & IT (from any University of Applied Science)
  • Electrical Engineering, Sensor Technology major (with the skills English, Statistics and programming)
  • Biology, Life Sciences, Informatics or equivalent (for international students)
• English proficiency
  • IELTS score of 6.5, with no sub scores below 6; 
  • or Cambridge Advanced Exam in English: B minimum
  • or Cambridge Proficiency Exam in English: C minimum.

It is possible to get an exemption for the English requirements if you:

• obtained a diploma at an English-taught institution with the EER. You have to prove that your prior education was full time English-taught by providing a statement from the school, signed and stamped, confirming that the medium of instruction and examination was entirely in English.
• obtained a diploma from an English-taught programme in one of the following countries: Australia, Canada (English speaking part), Ireland, New Zealand, United Kingdom or the United States of America.

Furthermore, you have to submit:

• 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.

If you want to know more about the value of your own diploma, you can also check the diploma comparison site of our national agency NUFFIC.

Application

If you want to apply for our programme, you have to submit your request first in our national registration system Studielink. After this, we will start the admissions process through our own application system “Hanze Apply”. The general application deadline:

• for EU students is [15 August]
• for non-EU students is [1 June]

For exceptions and the most updated information, go here.