Master's Degree Programme in Health Technology
In the crossroads of human physiology and digital technology, Health Technology invites you into a world of exciting challenges with purpose. Human sensing, big data, machine learning, and more – let’s make solutions for better life!
The Master’s Degree Programme in Health Technology programme 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 utilized in health technology. The teaching focuses on how to apply signal processing, machine learning methods and Internet-of-Things technology for collection and analysis of health related data. Applications include, for example, wellness and health applications, as well as diagnostic and remote monitoring solutions.
The Programme has an international double-degree collaboration with the European Institute of Innovation and Technology (EIT) Master School.
You are an eligible applicant for Master’s-level studies if
- you have a nationally recognized first cycle degree – normally a Bachelor’s degree – from an accredited institution of higher education,
- your degree corresponds to at least 180 ECTS (European credits) or to three years of full-time study,
- your degree is in a relevant field for the Master’s degree programme that you’re applying to. Please check the section on programme-specific admission requirements for detailed degree requirements.
Applicants must have excellent English language skills and a certificate that proves those skills. You can indicate your language skills by taking one of the internationally recognized English language tests.
Applicants must reach the minimum required test results to be considered eligible to the University of Turku. No exceptions will be made. Read more about the language requirements here.
It is not possible to have more than one Bachelor’s or Master’s study right at the same Faculty. Therefore, when accepting an offered study place, the student will lose any previous BSc. or MSc. study right at the Faculty of Technology at the University of Turku.
Before you start preparing your application, always read the full admission requirements on the application portal Studyinfo.fi
The applicant’s previous degree on the basis of which s/he is seeking admission to the Master’s Degree Programme in Health Technology must be in a relevant field of study.
Relevant fields of previous studies for admission are:
- Computer Science
- Computer Engineering
- Biomedical Engineering
- Information Technology
- Other relevant fields of studies where sufficient knowledge of computer science and/or biomedical engineering is achieved.
The decision of admission will be based on
- the relevance of the applicant’s awarded degree(s)
- the amount, relevance, and grades of the courses in the degree(s)
- the language test result (see Language requirements)
- the motivation letter and your answers to the optional questions included in the application
- possible relevant work experience
- possible interview
In addition to the education diploma and language certificate, you should include testimonials of any relevant work experience in your application.
The academic evaluation is made only for complete applications that are received during the application period. Any preliminary assessment of suitability or chances for admission will not be given.
Programme in brief
A. Common studies 20 ECTS
B. Core module in Medical Analytics 20 ECTS
C. Compulsory advanced studies in Medical Analytics 10 ECTS
D. Master’s Thesis in Technology module 30 ECTS
E. Thematic module / minor subject 20-25 ECTS
F. Elective courses module 15-20 ECTS
The degree programme is organized with ecological and economic sustainability in mind, targeting eco-efficient solutions and minimal material consumption by means of for example online teaching, e-learning materials, electronic exams and virtual laboratory environments.
Future technologies and digital society, and health, diagnostics and drug development are central strategic themes at University of Turku. Health technology education and research support these teams, and provide skills that allow developing computational AI based methods for wider and more efficient usage of health data.
In the Master's thesis, the student must prove his/her ability to do scientific work, management of research methods, knowledge of the research field, and skill of 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 the student 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 LSTM network to detect R-peaks from noisy ECG signals
The programme gives interdisciplinary knowledge in health technologies and biomedical engineering both from theoretical and practical perspective. Hence, giving possibility for employment in different health technology sectors, ranging from wellness and sport to personalized medical solutions and computational data analytics of biomedical data.
The students graduating from this cross-disciplinary programme will have acquired scientific and analytical skills, expertise in present theories and up-to-date technologies as well as practical skills including teamwork, leadership, and interpersonal skills in an international environment. The acquired methodological skills and advanced knowledge allow the students to continue their career paths in academia or industry.
After completing the programme you will obtain the following technical proficiencies:
- Understands the principles and limitations of using machine learning and AI approaches for analysing biosignals and health data
- Has knowledge of how the sensor technology and information technology can be exploited in the healthcare sector.
- Is able to select and apply suitable data analytics and signal processing methods for different types of biosignals
- Has knowledge of the principles of embedded programming in medical applications and is able to apply this knowledge for example by building simple medical embedded sensor systems and interfacing them with smartphone
- Has knowledge of medical measurement systems and has ability to implement sensor systems for measuring medically relevant signals such as heart rate and EKG, respiration rate, movement and blood oxygen saturation level.
- Has ability to design evaluation protocols for validating machine learning models on data having complex dependencies, which are commonly encountered in health applications
The employment percentage of those holding an M.Sc.(Tech.) degree is high in Finland. Health technology related industry is today increasingly important globally and particularly in Finland. Fields of health technology are expanding fast, offering 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 a wrist of the user, for example.
Health technology is an area where there is a good employment possibilities or, if you want to be more independent, to launch your own start-up. There are also possibilities to work in the research, education, consult sectors or even continue studies towards PhD degree. Health Technology programme’s emphasis is on contemporary technologies and gives tools and knowledge to work with the near future ICT technologies making sure that at the time of graduation students have acquired up-to-date skills in the field, paving way to really make difference to society and human kind at large.
As a Health Technology expert, you may be working for example as:
- Biomedical Engineer
- Health Data Analyst
- Machine Learning Specialist in Healthcare
- Medical Device Software Developer
- Healthcare Technology Consultant
- Start-up Founder in Health Tech
- Doctoral Researcher
Master's Degree (Technology) provides eligibility for scientific postgraduate degree studies. Postgraduate degrees are doctoral and licentiate degrees. Degrees can be completed within the University of Turku Graduate School.