Master's Degree Programme in Health Technology
University of Turku
Key Information
Campus location
Turku, Finland
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
EUR 12,000 / per year *
Application deadline
22 Jan 2025
Earliest start date
Aug 2025
* free for citizens of EU/EEA countries or Switzerland, for citizens of non-EU/EEA countries €12,000/academic year
Introduction
Discover all degree programmes of the University of Turku
Where information technologies meet health science
The Master’s Degree Programme in Health Technology focuses on health and the measurement and analysis of medical data, as well as machine learning technologies and their use in health technology solutions.
The studies provide a comprehensive knowledge of how data analytics and sensor technology can be utilised in health technology. The teaching focuses on how to apply signal processing, machine learning methods, and internet-of-things technology for the collection and analysis of health-related data. Applications include, for example, wellness and health applications, as well as diagnostic and remote monitoring solutions.
Academic Excellence & Experience
When you graduate from this cross-disciplinary programme, you will have acquired scientific and analytical skills, expertise in present theories and up-to-date technologies as well as such practical skills as teamwork, leadership, and interpersonal skills in an international environment. The acquired methodological skills and advanced knowledge will allow you to continue your career paths in academia or industry.
Future technologies and digital society, and health, diagnostics and drug development are central strategic themes at the University of Turku. Health technology education and research support these teams and provide skills that allow the development of computational AI-based methods for wider and more efficient usage of health data.
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Admissions
Curriculum
Programme Structure
The degree consists of several modules focusing on various skills and learning outcomes:
- Common studies, 20 ECTS
- Core module in medical analytics, 20 ECTS
- Compulsory advanced studies in medical analytics, 10 ECTS
- Master’s thesis in Technology, 30 ECTS
- Thematic module / minor subject, 20-25 ECTS
- Elective courses, 15-20 ECTS
Master's Thesis & Topics
In the master's thesis, you will prove your ability to do scientific work, management of research methods, knowledge of the research field, and skill in scientific writing. The work is performed according to an accepted research plan, independently but under supervision.
Thesis topics may be provided by companies, offering employment possibilities after completing the thesis. A thesis may also be completed working for one of the research groups affiliated with the university, preparing you for a research-oriented position or for applying to doctoral studies. The possible topics cover a wide range of subjects related to health technology.
Topics of previously completed master’s theses include:
- A Review of the Current Methods and Challenges of Facial EMG-Based Gesture Recognition
- Detecting sepsis in the ICU using machine learning
- Generative Adversarial Network for Photoplethysmography Reconstruction
- Geometric Sample Area Correction of an IEF Gel in a Newborn Screening Application Using Image Processing Methods
- Identification of myocardial infarction by high-frequency serial ECG measurement
- Remote monitoring of infant’s breathing motions using a smartphone to prevent crib death
- Using the LSTM network to detect R-peaks from noisy ECG signals
Program Outcome
Competence Description
The program gives interdisciplinary knowledge in health technologies and biomedical engineering both from a theoretical and practical perspective. Hence, gives the possibility for employment in different health technology sectors, ranging from wellness and sport to personalized medical solutions and computational data analytics of biomedical data.
After completing the program, you will:
- understand the principles and limitations of using machine learning and AI approaches for analyzing biosignals and health data;
- have knowledge of how sensor technology and information technology can be exploited in the healthcare sector;
- become able to select and apply suitable data analytics and signal processing methods for different types of biosignals;
- have knowledge of the principles of embedded programming in medical applications and become able to apply this knowledge for example by building simple medical embedded sensor systems and interfacing them with smartphones;
- have knowledge of medical measurement systems and has the ability to implement sensor systems for measuring medically relevant signals such as heart rate and ECG, respiration rate, movement, and blood oxygen saturation level;
- have the ability to design evaluation protocols for validating machine learning models on data having complex dependencies, which are commonly encountered in health applications.
Scholarships and Funding
Scholarship Opportunities
The University of Turku supports merited and motivated students with generous scholarships. The university offers these scholarships to students pursuing Master's level studies who are subject to tuition fees.
Scholarships are awarded based on academic excellence, and you can apply for a scholarship by simply answering “yes” to the corresponding question in the online application form when you apply for the programme.
One type of scholarship covers whole tuition fees for two years for Master’s degree programmes. In addition to that, there is a scholarship for the best applicants that covers tuition fees and includes an additional grant of €5,000.
Approximately 30 % of the admitted students are awarded a scholarship by the University of Turku.
Gallery
Career Opportunities
Job Options
The employment percentage of those holding an MSc (Tech.) degree is high in Finland. The health technology-related industry is today increasingly important globally, particularly in Finland. Fields of health technology are expanding fast, offering you a wide range of different career opportunities. In addition to companies that are focused on wellness, medical, or biomedical analytical solutions, this also includes other industries that are utilizing health technology in their products, like global enterprises producing wearable devices capable of measuring heart-related signals from the wrist of the user, for example.
Health technology is an area with good employment possibilities and good opportunities to establish your own start-up. There are also possibilities to work in the research, education, and consulting sectors or even continue studies toward a Ph.D. degree.
Career in Research
The Master’s degree also provides you with eligibility for scientific postgraduate degree studies – doctoral and licentiate degrees. You will be able to apply for a position at the University of Turku Graduate School (UTUGS), which covers all of the disciplines of this programme.