Master’s Degree Programme in Automotive Engineering: Ajoneuvotekniikka (ylempi AMK)
Code: T1922S6
- Degree title
- Master of Engineering, MEng
- Credits
- 60 ects
- Duration
- 1.5 years (60 ECTS)
- Start semester
- Autumn 2022
- Teaching language
- Finnish
Descriptions
The Master’s Degree Programme in Automotive Engineering is designed primarily for the automotive engineering professionals, managers, sales workers or teachers. The aim of the studies is new professional knowledge and competencies in the field of Automotive Engineering.
The key learning outcomes of the Master’s degree programme in Automotive Engineering are advanced Business Development Skills, advanced Automotive Engineering skills and Analytical & Methodological Skills. The theme of the Automotive Engineering studies may vary in different curricula.
The Master's Degree studies in Automotive Engineering are part-time including contact teaching (weekdays evenings), group learning and distance learning.
Development
The competence goals of the degree are defined together with working life professionals.
Further information
kopioitu viimeisimmästä hyväksytystä opetussuunnitelmasta
Vastuuhenkilö:
Juho Vallivaara
juho.vallivaara@metropolia.fi
Objective
The key content of the learning outcome:
- comprehensive knowledge of automotive dynamics, combustion engines and automotive electronics
- good knowledge of business of a car dealership
- Download attachment Copy of Ajoneuvo_ osaamismatriisi_versio 2_ YAMK (31.1.2020 HP) (pdf, 15.91 kB)
- Download attachment FINAL en YAMK opinnäytetyö arviointikehikko OPS2020 (pdf, 104.43 kB)
- Download attachment FINAL fi YAMK opinnäytetyöarviointikehikko OPS2020 (pdf, 195.36 kB)
- Download attachment FINAL Metropolia's generic competneces MASTER en-GB (pdf, 11.37 kB)
- Download attachment Metropolian YAMK-tutkinnon yhteisen osaamisen kuvaukset 2019091 Hyvksytty (pdf, 11.35 kB)
Select timing, structure or classification view
Show study timings by semester, study year or period
| Code | Name | Credits (ECTS) | 2022-2023 | 2023-2024 | Autumn 2022 | Spring 2023 | Autumn 2023 | 1. / 2022 | 2. / 2022 | 3. / 2023 | 4. / 2023 | 1. / 2023 | 2. / 2023 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| T1922S6-1001 |
Advanced Professional Studies in Master’s Degree Programme in Automotive Engineering
(Choose ects: 20) |
20 | |||||||||||
| TX00CY01 | Business Economics | 5 | |||||||||||
| TX00CY00 | Strengthening Leadership and Communication Competence | 5 | |||||||||||
| T100CT16 | Driving dynamics and simulation | 5 | |||||||||||
| T100CT17 | Engine and emission technology | 5 | |||||||||||
| T100CT18 | Electric vehicle technology | 5 | |||||||||||
| T1922S6-1002 |
Elective Studies
(Choose ects: 5) |
5 | |||||||||||
| T1922S6-1003 |
Master's Thesis and Research Studies
(Choose all ) |
35 | |||||||||||
| XX00EJ16 | Research Methods and Skills | 5 | |||||||||||
| TX00EH16 | Master’s Thesis | 30 | |||||||||||
| Total | 60 | 60 | 0 | 15 | 45 | 0 | 7.5 | 7.5 | 22.5 | 22.5 | 0 | 0 |
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.
| Elective Studies |
|
No attached course units |
| Elective Studies |
|
No attached course units |
| Elective Studies |
|
No attached course units |
| Not grouped |
| Code | Name | Credits (ECTS) |
|---|---|---|
| T1922S6-1001 |
Advanced Professional Studies in Master’s Degree Programme in Automotive Engineering
(Choose ects: 20 ) |
20 |
| TX00CY01 | Business Economics | 5 |
| TX00CY00 | Strengthening Leadership and Communication Competence | 5 |
| T100CT16 | Driving dynamics and simulation | 5 |
| T100CT17 | Engine and emission technology | 5 |
| T100CT18 | Electric vehicle technology | 5 |
| T1922S6-1002 |
Elective Studies
(Choose ects: 5 ) |
5 |
| T1922S6-1003 |
Master's Thesis and Research Studies
(Choose all ) |
35 |
| XX00EJ16 | Research Methods and Skills | 5 |
| TX00EH16 | Master’s Thesis | 30 |