In order to qualify for the studies in Tallinn University of Technology an applicant has to have at least 60% of the highest possible CGPA.

In case that the candidate has not obtained a full Bachelor's degree in EU, EFTA or OECD member state the candidate is required to upload a Test-taker Score Report of the GRE General Test to the DreamApply application system with the necessary threshold scores:

• Verbal Reasoning at least 145
• Quantitative Reasoning at least 150
• Analytical Writing score at least 3.0

This is a prerequisite for qualifying and has to be fulfilled latest by the application deadline.

Candidates who have obtained a full Bachelor's degree in EU, EFTA or OECD member state are waived from the GRE requirement.

Please see more information about our GRE General Test requirement here, including the exact eligibility criteria for being exempted from this prerequisite and how to order the test result electronically to TalTech.

The mandatory length of the motivation letter is 500-600 words.

Please include the following:

• the interest of health care technology and e-health and clearly defined motivation to study in the master's program;

• analytical argumentation about the challenges that health care systems are facing and your opinion about the possibilities of e-health in overcoming those challenges, including specific examples of successful implementation of e-health services;

• possible master's thesis topics and research interests in Digital Health;

NB! It is important to properly cite and reference any sources used in your motivation letter (quotations, publications, ideas etc. that are not your own). Additionally, AI-generated text is not acceptable as the purpose of the motivation letter is to show the applicant’s genuine motivation. Neglecting the aforementioned principles will result in the disqualification of your application. The motivation letter must be written in English.

Positive scale: 5-10 points

The aim of the interview is to understand your academic potential, motivation and suitability for your chosen course.

Questions are composed to assess your:

• problem-solving abilities;

• intellectual flexibility, communication and analytical skills;

• motivation to study;

• abilities of methodical and creative thinking.

Duration of the interview is 10-20 minutes.

Positive scale: 5-10 points

• Skills and knowledge for implementing new innovative technologies in health care.

• Experience and examples of countrywide e-health implementation in Estonia.

• You learn to understand how healthcare, IT and medicine interact.

• Most of the lectures will take place in the Business and Innovation Centre Mektory.

• Events and site-visits help you to get first-hand experience from different healthcare, medical and digital health companies.

Basics of e-Health

The course provides knowledge about electronic data reflecting human health in the health care system. Gives overview of electronic health care services and creates an understanding of the structure of health data and application limits of e-Services in health care. Gives an overview of digital and analogue processes in health care. Introduces different international e-Health experiences.

Evaluation and Financing in Healthcare

Provides an overview of the methods of financing, remuneration and reimbursement in healthcare in connection with evaluation. The course will explore the different evaluation methods that are relevant in the design of health information technologies. The course will help students to design, plan, and conduct independent evaluations of health care technologies. The course also provides practical abilities of economic evaluation methods in health care, and how economic evaluation can be applied to the health care sector to make informed decisions.

Healthcare Data Systems and Analysis

Healthcare data systems and analysis course goal is to introduce students to different data systems used in Estonian healthcare organisations (including central registries and integrations systems) and hospitals. How are the data systems created, what is their purpose, how the systems are integrated, and do they satisfy the end user. Also the different hospital and other healthcare data systems structure, user interface and to see the pros and cons of different data systems.

Medical Law and Ethics

The course gives students depth knowledge of the medical law and ethics. The course will provide a comprehensive overview of other areas of law related to medical law and ethical issues in medicine. Students are given the opportunity to understand and critically evaluate ethical questions in medicine.

Medical Imaging and Signals

Gives students knowledge about physical and chemical bio-signals and their registration. The course introduces signal registration and analysis processing methods and equipment and gives an overview of imaging methods in health care. During the course one learnsthe different steps of data flow starting from the registration of bio-signals to presentation of image in user understandable mode. The course provides a.practical introduction to different imaging and signal processing methods in health care institutions. Introduction to basic models of image, graphs and image series filing, saving and presentation systems in health care are given. In addition the course introduces the use of different signal and image processing methods from the point of view of the clinical question or examined organ system. It also gives an overview of the contraindications of the use of diagnostic methods in medicine.

Change Management in Healthcare

The course will give an overview about societal and social science theories and philosophical as well as practical principles of change management explored during different stages of change management in practice. The aim of the course is to give an understanding about the complexity of societal processes with the focus on change management in health and social areas (including the interconnections between different processes, strengths, weaknesses, barriers).

Many research projects of the curriculum are done together with governmental institutions, industry partners, health tech companies and others. Different institutions have suggested the following areas of research subjects.

• Health care process optimization

• Healthcare quality systems

• Value based healthcare

• Care integration

• User experience of information systems

• Evidence based automatic algorithms

• Decision support systems

• Tele-medicine and tele-monitoring

• Digitalisation of population screenings

• Digital prescribing systems

• Drug-to-drug interaction monitoring systems

• Evaluation of e-health services

This list is far from being exhaustive, but provides a direction of what are the areas of expertise needed in the healthcare field. You will get important input from a number of courses on selecting your thesis methodology and methods.

e-Health Meet-up is a series of events, which started from the cooperation between TalTech and Estonian Connected Health Cluster in the beginning of 2017 with the purpose of bringing together companies and students who are looking for internship opportunities. The wider purpose is to give a larger overview of the field of Health Care Technologies. It’s a great chance to meet a range of experts within the healthcare field and learn about how healthcare and information technology intersects in the transformation of healthcare delivery and management in their work-life.

During the meet-ups, 2-3 presenters from different e-health companies (public sector, start-ups etc.) will introduce their workflow, success-stories and challenges. The students will also have a possibility to engage in a discussion with presenters to find solutions to the presented challenges.

Digital Health Hackathon is an interdisciplinary collaboration event between TalTech students and representatives from the health care technology field. The event gives participating students the opportunity to test and implement the knowledge they have gained during the lectures.

Students will form groups to find solutions to problems raised by relevant experts working in the field (the problem owners). With its clear focus and carefully prepared structure, hackathon enables students to commit themselves to an intense period of focused work on the problem. Throughout the day, the student-teams receive coaching from different experts.