Ideation and planning of the Master’s Thesis (10 ECTS)
Code: S000FF74-3001
General information
- Enrollment
- 27.11.2023 - 10.12.2023
- Registration for the implementation has ended.
- Timing
- 01.01.2024 - 31.07.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 10 ECTS
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Rehabilitation and Examination
- Teaching languages
- Finnish
- Degree programmes
- Master's Degree Programme in Welfare Management in Developing Social and Health Services (Social sciences, Business and Administration)
- Master's Degree Programme in Welfare Management in Developing Social and Health Services (Social services, Health and Sports)
- Master's Degree Programme in Clinical Expertise in Digital Health Care and Social Services
- Teachers
- Saila Pakarinen
- Antti Niemi
- Anu Valtonen
- Marjatta Komulainen
- Liisa Nuutinen
- Sanna Garam
- Salla Kivelä
- Mari Virtanen
- Päivi Leskinen
- Outi Pyrhönen
- Juha Havukumpu
- Tuomas Leisti
- Eija Metsälä
- Iira Lankinen
- Marianne Pitkäjärvi
- Pirjo Koski
- Aino Vuorijärvi
- Katja Hämäläinen
- Lotta Kuosmanen
- Groups
-
S3123S6Master's Degree Programme in Clinical Expertise in Digital Health Care and Social Services
-
L1323S6Hyvinvointijohtaminen kehittyvissä sosiaali- ja terveyspalveluissa, ylempi
-
S2923S6Hyvinvointijohtaminen kehittyvissä sosiaali- ja terveyspalveluissa, ylempi AMK
- Course
- S000FF74
Objective
The student is able to justify and plan their thesis in collaboration with a working life partner.
The student is able to apply researched and expert information as well as research and development methods in their field in a critical and productive manner in order to address development needs and solve challenges faced by businesses and organisations.
The student is able to make justified choices.
Content
- Selection of the subject of the thesis, ideation and planning
- Systematic literature searches and acquisition of information
- Preparation of the research plan: research and development methods suited to their purpose, theoretical background/framework, data, data collection and data management, data analysis methods, research ethics, data protection and sound scientific practices, reliability
- Permits and consents
Workshops, seminars, individual tutorials and small group tutorials in accordance with the degree programme’s instructions.
Evaluation scale
0-5
Assessment criteria, approved/failed
Pass/Fail: Passing the course requires that the thesis plan is approved by the thesis supervisor or the working life partner.