Master's Degree Programme in Well-Being Technology
Qualification Awarded and the Level of Qualification
Master of Engineering
Contact Information
Principal Lecturer in Charge
Lea Saarni
Head of Competence Area
Päivi Hautaviita
Study Affairs Coordinator
Riitta-Liisa Mäntylä
Student Counsellor
Tiina Säilä
Special Admission Requirements
The master's degree is intended for persons who have completed a bachelor's degree in engineering, a professional higher education engineer, a master's degree in engineering or a bachelor's degree in technology or an equivalent foreign degree and who have at least two years of work experience in the relevant field.
Recognition of Prior Learning
Credit transfer for studies means that the student can apply for transfer prior higher education studies to the studied degree if they meet the competence objectives of the degree programme.
Credit transfer follows the spesific instructions of TAMK.
Qualification Requirements and Regulations
The programme corresponds to the competence framework described in European Qualification Framework (EQF) and the National Quality Framework (NQF). The master’s degree corresponds to the competence level 7.
Profile of the Programme
Wellbeing technology refers to a variety of technical and technological solutions used to maintain and improve the quality of human life, wellbeing or health. In addition, the wellbeing technologies mean the systems used by the staff of the organisations used in activity guiding and evaluating. The value of training is based on the wellbeing and health-related technologies, life cycle thinking, sustainable development and ethics.
Key Learning Outcomes
The degree programme aims to provide the students with the capacity to act as experts and wellbeing technology developers. In addition, the aim is to provide students with project management skills and capabilities for innovating and developing
wellbeing technology products and services. The training builds on the working life changes and requirements. Societal changes require the deployment of customer and user-driven, evidence-based and effective practices, as well as their management and evaluation. The studies provide the key competencies, such as the design expertise for accessibility of the built environment, expertise in health care and social service assistive technology service, customer-oriented project expertise, documentation skills in health care device regulatory requirements, procurement expertise in health care technological solutions, health/wellbeing technologies and ICT solutions and welfare service business skills.
Occupational Profiles of Graduates with Examples
Wellbeing technology graduates can find work placement as wellbeing technology experts, wellbeing technology trainers, development coordinators, project managers, application/system experts (customer and patient information systems), medical device chiefs (in the hospital) and as wellbeing technology coordinators or designers.
Access to Further Studies
After completing the degree, the student can apply for the teacher’s pedagogical studies either in a university or university of applied sciences and become a qualified vocational teacher. Eligibility for licentiate’s and doctor’s degrees has to be negotiated separately with each faculty.
Examination Regulations, Assessment and Grading
Assessment of completed courses is based on TAMK’s assessment criteria. The teaching and assessment methods are agreed on with the students at the beginning of the course. The detailed information and criteria can be found in the course implementation plan. TAMK’s degree regulations are followed in implementation and assessment.
Graduation Requirements
In order to graduate the student need to completed the studies in accordance to the curriculum.
Mode of Study
The studies are carried out together with students in the fields of social services and health care, business administration and technology. The training is implemented as blended learning, which can be completed in addition to work. Contact hours are on average every other week, Thursday evenings and Fridays (8.30-16).
Development of the Programme
The curriculum is developed in cooperation with TAMK’s other master’s degree programmes. Working life cooperation is implemented through thesises and projects as well as network cooperation and advisory councils. Student feedback is collected annually in connection with courses and individual study plan discussions. Alumni feedback is collected regularly through online surveys.
Enrolment period
08.05.2023 - 03.09.2023
Timing
01.08.2023 - 31.12.2023
Credits
5 op
Mode of delivery
Contact teaching
Unit
MD in Health Technology
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Master's Degree Programme in Well-Being Technology
- Master's Degree Programme in Well-Being Technology
- Master's Degree Programme in Well-Being Technology
Teachers
- Lea Saarni
- Pekka Pöyry
- Tony Torp
Person in charge
Lea Saarni
Groups
-
23YHL
-
23YHT
-
23YHS
Objectives (course unit)
The student
- knows the most common terminology and concepts of data analytics
- knows the principles of data mining, storing and analysis mehtods
- knows the most common data management and visualisation methods
- understands the importance and use data in health care process
- knows the concepts, principles and use of machine learning in health care
Content (course unit)
Key concepts: definition of healthcare data, Big Data, data visualization, algorithms, machine learning, artificial intelligence
Categories of health care data
Introduction to Big Data and its utilization in healthcare
Data recovery methods
The most common Big Data systems
Introduction to algorithms, basics of machine learning and artificial intelligence
Assessment criteria, satisfactory (1-2) (course unit)
The student
- is able to process data
- is able to analyze and make data visualizations
- knows the basics and main concepts of artificial intelligence as well as the main applications in the field of healthcare.
Assessment criteria, good (3-4) (course unit)
The student
- is able to process data
- is able to analyze and make data visualizations
- knows the basics and main concepts of artificial intelligence
- is able based on examples to create artificial intelligence applications in the field of healthcare
- understands the importance of data in health care management processes.
Assessment criteria, excellent (5) (course unit)
The student
- is able to process data
- is able to analyze and make data visualizations
- knows well the basics of artificial intelligence and the most important concepts
- is able to create appropriate artificial intelligence applications in healthcare
- understands the importance of data in health care management processes.
Assessment scale
0-5
Enrolment period
08.05.2023 - 31.08.2023
Timing
01.08.2023 - 31.12.2023
Credits
5 op
Mode of delivery
Contact teaching
Unit
MD in Health Technology
Campus
TAMK Main Campus
Teaching languages
- English
Degree programmes
- Master's Degree Programme in Well-Being Technology
- Master's Degree Programme in Well-Being Technology
- Master's Degree Programme in Well-Being Technology
Teachers
- Heidi Peltolehto
- Lea Saarni
Person in charge
Lea Saarni
Groups
-
23YHL
-
23YHT
-
23YHS
Objectives (course unit)
The student
- knows definitions, terminology and basic concepts of health information systems and is able to apply them in social and health care context
- understands the specifics and key standards of health information and is able to analyse their meanings in different health information systems
- knows the key architectures, use of electronic patient records and personal health records and is able to analyse them in health care system
- understands the most important interoperability issues related to patient records and is able to resolve them
- knows the typical eHealth applications and is able to evaluate their benefits.
Content (course unit)
Roles of the different stakeholders. Cases: Finland and some other countries.
Introduction to Health Care Processes.
Healthcare operations management and health economics.
Health information management, an overview.
Structured and unstructured clinical data. Data quality. Medical knowledge management. Handling of personal sensitive medical data.
Clinical and departmental information systems.
Standards and regulation overview and Electronic Health Record.
Health ICT system development and delivery process.
Personal Health Informatics.
Future trends in health ICT and Health Care ICT market.
Assessment criteria, satisfactory (1-2) (course unit)
The student
• knows definitions, terminology and basic concepts of health information systems, but is not able to apply them in social and healthcare context
• is able to name some key standards of health information systems
• understands some architectures and electronic patient record and personal health record
• knows some eHealth platforms and mobile applications for different social and healthcare users, but is not able to assess their benefits for them
• can weakly apply the previously mentioned information into practicality in the project work
• is not able to make ideas of the future trends and technologies
Assessment criteria, good (3-4) (course unit)
The student
• knows definitions, terminology and basic concepts of health information systems and is able to apply them in social and healthcare context
• understands the main key standards of health information systems and is able to analyze their use in different applications and solutions
• knows the key architectures and electronic patient record and personal health record in that architecture
• knows eHealth platforms and mobile applications for different social and healthcare stakeholders and users and is able to assess their benefits for them
• can apply all the previously mentioned information into practicality in the project work and argument some of the chosen solutions
• knows and is able to make some ideas of the future trends and technologies
Assessment criteria, excellent (5) (course unit)
The student
• knows definitions, terminology and basic concepts of health information systems and is able to apply them in social and healthcare context
• understands the key standards of health information systems and is able to analyze their use in different applications and solutions
• knows the key architectures and electronic patient record and personal health record in that architecture
• knows eHealth platforms and mobile applications for different social and healthcare stakeholders and users and is able to assess their benefits for them
• can apply all the previously mentioned information into practicality in the project work and argument chosen solutions
• knows and is able to innovate the future trends and technologies
Assessment scale
0-5
Enrolment period
19.12.2022 - 28.09.2023
Timing
28.09.2023 - 24.11.2023
Credits
5 op
Mode of delivery
Contact teaching
Unit
MD in Health Technology
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Master's Degree Programme in Well-Being Technology
- Master's Degree Programme in Well-Being Technology
- Master's Degree Programme in Well-Being Technology
Teachers
- Vesa Vuorinen
- Lea Saarni
- Juha Tuominen
Person in charge
Lea Saarni
Groups
-
23YHL
-
23YHT
-
23YHS
Objectives (course unit)
The student
- is able to analyze the company's internal level of readiness and its importance for entering the market of products and services
- is able to select the target market and identify and assess the factors, threats and opportunities for market entry in the selected market
- is able to use tools related to the assessment of business opportunities and analyze their benefits
- is able to make a marketing strategy based on analyzes and other accumulated information
Content (course unit)
- Concepts and contents related to marketing strategy
- Product features, benefits and value creation
- Customer segmentation
- Customer-related research and its analysis
- Utilization of different analytical tools in placing on the market
- Developing a marketing strategy
Assessment criteria, satisfactory (1-2) (course unit)
The student
- understands the importance of the company's internal readiness to enter the market of products and services, but is not able to analyze them
- is able to perform target group analysis and choose a possible target market, but does not justify his/her choices
- is able to identify only a few factors influencing demand and identifies irrelevant threats and opportunities in the selected market
- describes customer target groups based on information, but they are not justified
- combines random information that is used in the content of the marketing strategy
- describes his/her conclusions and their impact on the company's growth and internationalization
- use only a few different tools at different stages of the marketing strategy
- develops a marketing strategy using only a part of the collected information.
Assessment criteria, good (3-4) (course unit)
The student
- knows the importance of the company's internal readiness to enter the market of products and services, but is not able to analyze them
- is able to choose the target market, but gives little justification for the choice
- identifies the factors influencing demand, threats and opportunities in the selected market
- identifies and justifies the most important customer target groups based on the information
- combines and applies the information obtained, using it in the content of the marketing strategy, but the conclusions remain limited
- analyzes his/her own conclusions and their usefulness, risks, effects on the company's growth and internationalization
- utilizes and in some respects evaluate different tools at different stages of marketing strategy formation
- develops a marketing strategy on the basis of analyzes and information.
Assessment criteria, excellent (5) (course unit)
The student
- analyzes the importance of the company's internal readiness to enter the market of products and services
- chooses and justifies the target market
- identifies the factors influencing demand, threats and opportunities in the selected market
- identifies and justifies the most important customer target groups based on information
- combines and applies the information obtained appropriately, using it in the content and conclusions of the marketing strategy;
- critically examines his/her own conclusions and their usefulness, risks, effects on the company's growth and internationalization
- utilizes and evaluates various tools in various stages in the formation of marketing strategy
- develops a marketing strategy on the basis of analyzes and information.
Assessment scale
0-5