Master's Degree Programme in Information Technology (in English): Medical Technology
Code: T1622S6
- Degree title
- Master of Engineering, MEng
- Credits
- 60 ects
- Duration
- 1.5 years (60 cr)
- Start semester
- Autumn 2022
- Teaching language
- English
Descriptions
The program is targeted for professionals in working life wishing to become a Master in Information Technology. Studies are designed and implemented in such a way that students in full-time employment can participate. Prerequisite for participation is a bachelor level degree in engineering and at least two years of working life experience is required. There is no entrance exam. The student selection is based on two preliminary assignments, see details in application pages.
The degree consists of Professional Studies (30 ECTS credits) and Master’s thesis project (30 ECTS credits). Studies consist of lectures, laboratory work, workshops, assignments, and projects as well as independent studying. The Professional Studies (6 courses) are planned to be completed in the first year and the second year (autumn 2022) is reserved for the Master's thesis. The thesis is usually completed in cooperation with your employer.
The professional studies are offered at the Karamalmi campus (Networking and Services) and Myllypuro campus (Medical Technology) with following timetable: autumn weeks 35-50 and spring weeks 3-19.
The program is divided into two fields of specialization which is also asked in the application process: Networking and Services, and Medical Technology.
Networking and Services
The Research Methods and Skills course provides you the required knowledge to prepare and facilitate a high quality Master’s thesis. The lectures on Trends in ICT -course are given by professionals from highly esteemed companies in the field of ICT and will provide you with a good understanding of the current status of the business and the challenges the industry is facing. The advanced professional courses gives a broad and up-to-date knowledge on this fast developing field of networked applications. More detailed description can be found under Learning Path.
Medical Technology
Medical technology is steadily growing field of technology in Finland. Medical Technology Professional studies focus on medical devices including software. Studies are tailored for professionals working in business, industry and public sector, who want to deepen their knowledge, skills and competences in medical technology to capture new career opportunities for the future. Studies enable novel career prospects for professionals, with previous degree for example from ICT, automation, electronics or electrical engineering. More detailed description can be found under Learning Path.
Development
The curriculum has been developed and updated in such a way that it corresponds the latest challenges faced in ICT and medical technology and gives both theoretical and practical knowledge on latest technologies and tools.
Further information
Contact details
Dr Ville Jääskeläinen
Head of Master's of Information Technology Degree Programme
Phone + 358 40 5116172
Email firstname.lastname@metropolia.fi
Objective
- Broad view to the latest developments in information and medical technology
- Up-to-date knowledge on selected topics
- Ability to conduct a professional research study
- Ability to evaluate and develop your own knowledge and capabilities
- Valuable network of international experts to boost your career
- Download attachment Lopputyö Arviointikriteerit (pdf, 195.36 kB)
- Download attachment Metropolia's generic competences_Master (pdf, 11.37 kB)
- Download attachment Metropolian YAMK-tutkinnon yhteisen osaamisen kuvaukset (pdf, 11.35 kB)
- Download attachment Thesis Assessment Criteria (pdf, 104.43 kB)
- Download attachment YAMK competence matrix 2022 v01 (pdf, 51.86 kB)
- Download attachment YAMK osaamismatriisi 2022 v01 (pdf, 50.84 kB)
Select timing, structure or classification view
Show study timings by semester, study year or period
| Code | Name | Credits (cr) | 2022-2023 | 2023-2024 | Autumn 2022 | Spring 2023 | Autumn 2023 | 1. / 2022 | 2. / 2022 | 3. / 2023 | 4. / 2023 | 1. / 2023 | 2. / 2023 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| T1622S6-1002 |
Medical Technology
(Choose all ) |
25 | |||||||||||
| XX00EJ16 | Research Methods and Skills | 5 | |||||||||||
| IT00EM63 | Medical Devices and Environments of Use | 5 | |||||||||||
| IT00EM64 | Regulations and Standards | 5 | |||||||||||
| IT00EM65 | Safety related Usability | 5 | |||||||||||
| IT00EM66 | Medical Device Life Cycle | 5 | |||||||||||
| T1622S6-1003 |
Elective Studies
(Choose ects: 5) |
5 | |||||||||||
| T1622S6-1004 |
Master’s Thesis
(Choose all ) |
30 | |||||||||||
| IT00EF16 | Master’s Thesis | 30 | |||||||||||
| Total | 60 | 25 | 30 | 12.5 | 12.5 | 30 | 6.3 | 6.3 | 6.3 | 6.3 | 15 | 15 |
Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.
STRUCTURE Master (A18.12.2014/1129)
Asetuksen 18.12.2014/1129 mukainen rakenne. 2 § Opintojen rakenne Ylempään ammattikorkeakoulututkintoon johtaviin opintoihin kuuluu: 1) syventäviä ammattiopintoja; 2) vapaasti valittavia opintoja; 3) opinnäytetyö.
| Master´s Thesis |
| Master’s Thesis |
| Advanced Professional Studies |
| Research Methods and Skills |
| Trends in ICT |
| Cyber Security |
| Fundamentals of Data Science and Machine Learning |
| Artificial Intelligence and Machine Learning |
| Internet of Things |
| Research Methods and Skills |
| Medical Devices and Environments of Use |
| Regulations and Standards |
| Safety related Usability |
| Medical Device Life Cycle |
| Elective Studies |
|
No attached course units |
| Not grouped |
Metropolia's Generic Competences::Master's Degree, UAS
Metropolian johtoryhmä hyväksynyt 10.9.2019. Esityksen valmisteli työryhmä: Tapani Martti, Marjatta Kelo, Kari Björn, Elina Värtö, Tiina Kokko. Lähteinä on käytetty mm. ARENEn suositus tutkintojen yhteisten kompetenssien soveltamisesta ammattikorkeakouluissa (2010), Valtioneuvoston asetus tutkintojen ja muiden osaamiskokonaisuuksien viitekehyksestä 120/2017, Valtioneuvoston tulevaisuusselonteot 1 & 2 (2017-2018) sekä Opetus- ja kulttuuriministeriön tulevaisuuskatsaus 2018.
|
Ethical Competence
- is able to take responsibility for the actions of a community and their consequences as well as to evaluate the effects of the actions |
| Research Methods and Skills |
| Artificial Intelligence and Machine Learning |
| Research Methods and Skills |
| Medical Devices and Environments of Use |
| Safety related Usability |
|
Innovation Competence
- is able to create new knowledge and improve existing working methods by combining expertise from different fields |
| Research Methods and Skills |
| Trends in ICT |
| Research Methods and Skills |
| Medical Devices and Environments of Use |
| Medical Device Life Cycle |
| Master’s Thesis |
|
Multicultural Competence
- is capable of managing and developing multicultural,international networks and working communities |
| Trends in ICT |
| Regulations and Standards |
| Medical Device Life Cycle |
|
Learning Competence
- lifelong learning competence:is able to self-evaluate and develop one's expertise in a versatile and focused way |
| Research Methods and Skills |
| Research Methods and Skills |
| Medical Devices and Environments of Use |
| Regulations and Standards |
| Safety related Usability |
| Medical Device Life Cycle |
| Master’s Thesis |
|
Technological Competence
- is able to apply technological opportunities in management, expert and development work |
| Cyber Security |
| Artificial Intelligence and Machine Learning |
| Internet of Things |
| Medical Devices and Environments of Use |
| Regulations and Standards |
| Safety related Usability |
| Medical Device Life Cycle |
|
Working Community Competence
- is able to develop and lead the operation of a diverse and multidisciplinary work community and to improve its wellbeing and productivity |
| Trends in ICT |
| Medical Devices and Environments of Use |
| Medical Device Life Cycle |
| Master’s Thesis |
| Not grouped |
| Fundamentals of Data Science and Machine Learning |
| Code | Name | Credits (cr) |
|---|---|---|
| T1622S6-1001 |
Networking and Services
(Choose 25 ) |
25 |
| XX00EJ16 | Research Methods and Skills | 5 |
| IT00CE19 | Trends in ICT | 5 |
| IT00DV52 | Cyber Security | 5 |
| IT00EW28 | Fundamentals of Data Science and Machine Learning | 5 |
| IT00DP82 | Artificial Intelligence and Machine Learning | 5 |
| IT00CR95 | Internet of Things | 5 |
| T1622S6-1002 |
Medical Technology
(Choose all ) |
25 |
| XX00EJ16 | Research Methods and Skills | 5 |
| IT00EM63 | Medical Devices and Environments of Use | 5 |
| IT00EM64 | Regulations and Standards | 5 |
| IT00EM65 | Safety related Usability | 5 |
| IT00EM66 | Medical Device Life Cycle | 5 |
| T1622S6-1003 |
Elective Studies
(Choose ects: 5 ) |
5 |
| T1622S6-1004 |
Master’s Thesis
(Choose all ) |
30 |
| IT00EF16 | Master’s Thesis | 30 |