Health Sciences

Study overview

In the master’s programme in Health Sciences you will deal with questions from everyday practice.

What is the best way to make a diagnosis? How to optimize the healthcare process for the patient? What is the best treatment, and how can new technologies contribute? Should a hospital invest in a new technology? If a new technology is demonstrably relevant, how to implement it? How to tell if a hypermodern treatment is better than the old one? Or, on a more political level, how can authorities improve the health conditions of their populations? You will learn to take a critical approach to research and research results; your own as well as others’.

General Courses

In the first quartile of the Master’s programme you will start with three general courses:

Health economic modeling (5 EC)

In the course in 'Health economic modeling' you will learn (and give presentations) about different types of economic health models and how they can be used to promote decision making in healthcare. There will be a strong emphasis on individually focused healthcare. The course consists of two parts. The first part is a practical assignment in which you will complete a simulation model at an individual (patient) level and interpret the corresponding results. The second part concerns developing a dossier while investigating the potential added value of a new innovation in healthcare.
Want to know more about this course?

Stakeholder preference elicitation and decision support (5 EC)

In 'Stakeholder preference elicitation and decision support' (SPECS) you will learn to consider multidisciplinary perspectives when making choices. You will look at the different interests of all parties involved – patient, care provider, and government. By taking a structured, well-defined approach you will learn to properly offer decision support.

Data science (5 EC)

Data science is the emerging interdisciplinary field at the intersection of informatics, statistics, visualization and social sciences. Data is an important aspect in virtually every area of our society, including healthcare. In the 'Data science' course, you are taught about data preparation, data visualization and data mining (which is about discovering patterns in large data-sets). These are all analytical skills that are required in different phases of data analysis for projects. Want to know more about this course?

Specializations

As of the second quartile you will choose one of the following specializations, each focusing on a specific area within the field. You can now also opt to obtain a teaching degree.

Personalized monitoring and coaching (15 EC). In this specialization you will focus on how to use wearables, smartphones and other technology to gather individual patient data and how to use this information to improve healthcare.

Optimization of healthcare processes (15 EC). In this specialization you will focus on the strategic component of patient-oriented healthcare management: how is healthcare arranged, both financially and practically, and how can improvements be made?

Innovation in public health (15 EC). In this specialization you can look into all kinds of innovative ways to improve public healthcare, e.g. by investigating how technology can contribute to fighting obesity. You will also learn how to prevent health professionals from treating similar patients differently.

Master’s assignment

In the third and fourth quartile you will finish your programme with a Master’s assignment (30 EC), in which you will write a thesis related to a research topic. The choice of topic is largely up to you, as long as applying health sciences is essential to solving your research question. You can either choose an assignment provided by or through the University of Twente or find your own client to perform your research for.

POSSIBLE RESEARCH QUESTIONS MIGHT INCLUDE:

  • What are the most common patient preferences for follow-up after breast cancer treatment?
  • How can we develop a technology supported lifestyle intervention for obesity?
  • How to improve healthcare by comparing quality indicators on a national level, e.g. between Norway and the Netherlands?

Programme overview

Program start and application deadline
Program start
1 September 2019
1 September 2020
Admission deadline
1 July 2019 (EU) 1 May 2019 (non-EU)
1 July 2020 (EU) 1 May 2020 (non-EU)
Admission requirements
Academic degree
Bachelor’s degree in Biology & Medical Laboratory Research, Biomedical Technology, Business Management Studies, Finance and Control, Health Care Technology, Health Sciences, Industrial Engineering & Management, Industrial Engineering and Management, Management, Society and Technology, Midwifery, Nursing, Physiotherapy, Psychology, Technical Medicine, University College Twente (ATLAS), Voeding en Diëtetiek
Academic Degree
BSc in Health Sciences.
Knowledge Minimum
CGPA of at least 80% of the maximum score
Personal Motivation
Motivation for a specific track and career ambition
Tuition fees
2019 / 2020
full-time, institutional
€ 12.000
full-time, non-EU/EER tarif
€ 12.000
full-time, statutory tarif
€ 2.083
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