Master’s Thesis (30 ECTS)
Code: XX00FB87-3049
General information
- Enrollment
- 05.05.2025 - 31.08.2025
-
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
- 01.08.2025 - 31.12.2026
- The implementation has not yet started.
- Number of ECTS credits allocated
- 30 ECTS
- Virtual portion
- 30 ECTS
- RDI portion
- 30 ECTS
- Mode of delivery
- Online
- Unit
- (2019-2024) School of Health Care
- Campus
- Myllypurontie 1
- Teaching languages
- English
- Seats
- 0 - 30
- Degree programmes
- Master’s Degree Programme in Development and Leadership of Nursing
- Teachers
- Kirsi Talman
- Hanna Aho
- Anna-Kaisa Partanen
- Teacher in charge
- Anna-Kaisa Partanen
- Groups
-
S2725S6Master’s Degree Programme in Development and Leadership of Nursing, ylempi AMK
- Course
- XX00FB87
Implementation has 4 reservations. Total duration of reservations is 11 h 0 min.
Time | Topic | Location |
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Thu 04.09.2025 time 09:00 - 11:00 (2 h 0 min) |
Master’s Thesis XX00FB87-3049 |
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Fri 10.10.2025 time 09:00 - 12:00 (3 h 0 min) |
Master’s Thesis XX00FB87-3049 |
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Tue 04.11.2025 time 09:00 - 12:00 (3 h 0 min) |
Master’s Thesis XX00FB87-3049 |
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Thu 11.12.2025 time 09:00 - 12:00 (3 h 0 min) |
Master’s Thesis XX00FB87-3049 |
Objective
The student is able to plan, implement and evaluate a thesis in cooperation with working life. The student is able to critically and effectively apply the research and expert knowledge of the field and follow the research ethics. The student is able to choose appropriate research and development strategies and methods to address the development needs and solve challenges of working life. In their work, the student is able to take initiative, act innovatively, and demonstrate good development and change management abilities, applying the principles of sustainable development. The student is able to work independently as an expert, developer and reformer of the field and to build collaboration with working life in order to produce useful information and develop its operations. The student is able to make justified decisions during the different phases of the thesis process. The student is able to produce a written thesis report according to good research and development reporting and shows ability for professional communication nationally and internationally. In the maturity test, the student independently demonstrates solid knowledge and skills associated with the thesis’ subject area and is able to communicate the results in a professional manner.
Content
• Selection and analysis of the topic
• Formulating a research or development plan
• Research permission
• Agreement on thesis collaboration
• Implementation of the research or development process
• Thesis reporting and maturity test
Location and time
Autumn 2025
Thesis kick off 4.91.2025
Thesis seminars and workshops, see timetable
Workshops to support master thesis
11.12 at 10.00-11.30 How to construct a thesis plan (MANDATORY TO ALL STARTING THEIR MASTER THESIS)
Data search (library): Mon 17.11. at 14-15.30 Zoom: https://metropolia.zoom.us/j/63787863854
Teaching methods
Master thesis seminars
Master thesis supporting workshops
Idividual support from Master thesis supervisor
Employer connections
Collaboration with Metropolia Innovation hubs and working life partners
Exam schedules
No other exam but Maturity test at the end of whole Master thesis process
Student workload
810h student work
Content scheduling
Ideation and planning of Master thesis
Implementation of Master thesis
Report and, assessment of the Master thesis
Further information
Cheating and Academic Integrity
By submitting online exams or assignments, the student confirms that the demonstration of their competence is based on independent work and ethical conduct. Academic dishonesty may result in disciplinary action, including suspension from the university of applied sciences for up to one year (Universities of Applied Sciences Act 932/2014, Section 38). To ensure the independence of students’ performance in online implementations, the teacher may, at their discretion, require demonstrations of competence in supervised settings or in an oral examination. The teacher will inform students about the method of demonstrating competence at the beginning of the course.
Use of Artificial Intelligence
In this course, AI tools may be used for idea generation and drafting. AI may also be utilized for structuring texts and checking language. However, AI must not be used to replace the student’s own thinking or written responses. The student must clearly and transparently describe how and where AI tools have been used in their work. More detailed guidelines on the use of AI and referencing AI tools can be found in the Student Desktop (OMA) under Student Guide > Instructions and Rules > Use of AI in Learning Activities and Theses – Student Guidelines.
Teacher’s Materials
Assignments and materials created by the teacher or lecturer are protected by copyright law (Copyright Act 404/61). These materials are intended solely for use in the student’s own studies. Public distribution or sharing of the materials is only permitted with the author’s permission.
Course Feedback
Feedback will be collected on the course implementation and is an important part of the continuous development of teaching and learning. By giving feedback, you have the opportunity to influence the content of the course and the development of teaching practices. Feedback helps teachers improve their implementations and teaching methods across different courses. Providing constructive feedback also enhances your own professional skills. The course feedback is given anonymously, and the identity of the respondent cannot be identified.
Recognition of Prior Learning (RPL)
If a student receives an RPL decision as a pedagogical solution, the decision must be submitted to the responsible teacher before the start of the course. Please refer to Metropolia’s RPL guidelines in OMA:
https://opiskelija.oma.metropolia.fi/group/pakki/opiskelijan-opas/opinnot/opintojen-suunnittelu-ja-opinto-ohjaus/ahot/ahot-alakohtaiset-ohjeet#sote
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
For the assessment criteria, please refer to the master’s thesis assessment criteria (Appendix - THESIS ASSESSMENT CRITERIA).
Assessment criteria, good (3)
For the assessment criteria, please refer to the Master’s thesis assessment criteria (Appendix - THESIS ASSESSMENT CRITERIA).
Assessment criteria, excellent (5)
For the assessment criteria, please refer to the Master’s thesis assessment criteria (Appendix - THESIS ASSESSMENT CRITERIA).
Assessment criteria, approved/failed
For the assessment criteria, please refer to the Master’s thesis assessment criteria (Appendix - THESIS ASSESSMENT CRITERIA).
Assessment methods and criteria
Passing all the stages of Master thesis process with high quality, acceptable Master thesis report and in the case of article format Master thesis also article manuscript that has been accepted by Master thesis supervisor
Master's thesis assessment criteria: https://opiskelija.oma.metropolia.fi/delegate/desktop_web_content_attachment/attachment/8490363