Please select the curriculum by the start year of studies and track.
Finnish
Virtuaaliopiskelu
Videoluennot, esimerkit ja harjoitukset (not translated)
Mueller: Introduction to Machine Learning with Python (not translated)
Tomi Nieminen
Main Campus
07.03.2023 - 29.02.2024
Virtuaaliopiskelu 135 h (not translated)
Master's Degree Programme in Robotics
Online learning
5 cr
School of Technology
Finnish
Individual learning tasks e.g. essays
Small group work online
Webinars
Online Discussions
Recorded online lectures, podcasts
Hannariina Honkanen
Yin, R. K. 2018. Case study research and applications : design and methods. Los Angeles: Sage.
Ethical principles and ethical review in human sciences. 2020. Finnish National Board on Research Integrity. www.tenk.fi/en
Responsible conduct of research and procedures for handling allegations of misconduct in Finland. 2012. Finnish National Board on Research Integrity. www.tenk.fi/en
Janne Sundelin, Hannariina Honkanen
14.01.2023 - 30.04.2023
- lectures/online lectures 8 h
- webinars/replacing assignments 8 h
- learning tasks 75 h
- studying the course material 44 h
Total 135 hours.
01.11.2022 - 13.01.2023
The course starts with contact lessons 14.1.2023.
Taking part in the course start contact lessons is also a sign of your participation in the course.
The first assignments are given on the start day.
The course is modular, where it takes 2-3 weeks to complete the materials and learning tasks of the modules.
The course has 3 webinars.
You can complete the course by combining study and work, by studification. Agree on studification of the course with the lecturer in charge of the course. For more information on studification, see the degree regulations and study guide
0 - 50
Evaluation methods:
Reflective self-evaluation, peer commentary, continuous feedback and overall evaluation of the course based on the learning tasks.
Master's Degree Programme in Robotics, Master's Degree Programme in Sustainable Energy
Face-to-face, Online learning
4 cr
TA11 - Teollisuustekniikka
Finnish
Contact teaching focuses on practical laboratory exercises and seminars on project / development reports. The implementation of the course is mainly independent study, remote use of simulation environments and preferably doing a development report/project related to one's own work environment. The purpose of the development project is to prepare the way for future thesis work.
Olli Väänänen
Teaching material in JAMK's e-learning environment.
Markku Ström, Juho Riekkinen, Olli Väänänen
The project report is preferably made in connection with one's own work environment.
Main Campus
03.09.2022 - 21.12.2022
Contact teaching maximum 35 hours.
A total of 135 hours of student work.
03.08.2022 - 03.09.2022
0 - 30
Self-assessments are mainly done through learning tasks. The assessment decision is based on the learning tasks to be returned and the practical laboratory exercises performed.
Master's Degree Programme in Robotics
Face-to-face, Online learning
4 cr
School of Technology
Finnish
Virtual study
Tomi Nieminen
Exercises and theory published by the teacher
Guido, S: Introduction to Machine Learning with Python
Tomi Nieminen
Main Campus
03.09.2022 - 21.12.2022
Lectures 3 h. Virtual study and exercises 125 h.
03.08.2022 - 03.09.2022
0 - 30
Avoin AMK 5 (not translated)
Master's Degree Programme in Robotics
Online learning
5 cr
School of Technology
Finnish
Ari Kuisma
Ari Kuisma
Main Campus
02.01.2023 - 28.04.2023
01.11.2022 - 02.01.2023
0 - 30
Master's Degree Programme in Robotics
Online learning
5 cr
School of Technology
Finnish
- lectures
- independent study
- distance learning
- webinars
- small group learning
- exercises
- learning tasks
- seminars
Heli Ciszek
Materials in the e-learning environment.
Heli Ciszek
- visiting lecturers
Main Campus
The possible date and method of the exam will be announced in the course opening.
01.09.2022 - 21.12.2022
One credit (1 Cr) corresponds to an average of 27 hours of work.
- lectures 52 h
- exercises 15 h
- assignment 35 h
- independent study 30 h
- company visits 3 h
Total 135 h
01.08.2022 - 01.09.2022
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
0 - 30
Master's Degree Programme in Robotics
Online learning
5 cr
School of Technology
Finnish
Contact teaching focuses on practical laboratory exercises and seminars on project / development reports. The implementation of the course is mainly independent study, remote use of simulation environments and preferably doing a development report/project related to one's own work environment. The purpose of the development project is to prepare the way for future thesis work.
Teaching material in JAMK's e-learning environment.
Markku Ström, Juho Riekkinen, Olli Väänänen
The project report is preferably made in connection with one's own work environment.
Main Campus
01.08.2023 - 31.12.2023
Contact teaching maximum 35 hours.
A total of 135 hours of student work.
0 - 25
Self-assessments are mainly done through learning tasks. The assessment decision is based on the learning tasks to be returned and the practical laboratory exercises performed.
Master's Degree Programme in Robotics
Face-to-face, Online learning
3 cr
School of Technology
Finnish
Heli Ciszek
Main Campus
28.08.2023 - 19.12.2023
01.08.2023 - 24.08.2023
0 - 25
Master's Degree Programme in Robotics
Face-to-face
School of Technology
Finnish
Virtuaaliopiskelu
Videoluennot, esimerkit ja harjoitukset (not translated)
Mueller: Introduction to Machine Learning with Python (not translated)
Tomi Nieminen
Main Campus
28.08.2023 - 19.12.2023
Virtuaaliopiskelu 135 h (not translated)
01.08.2023 - 24.08.2023
0 - 20
Master's Degree Programme in Robotics
Face-to-face
School of Technology
Finnish
Online, in Tuula Kotikoski's Zoom https://zoom.us/j/9925791129
Individual learning tasks e.g. essays
Small group work online
Webinars
Online Discussions
Recorded online lectures
Yin, R. K. 2018. Case study research and applications : design and methods. Los Angeles: Sage.
Ethical principles and ethical review in human sciences. 2020. Finnish National Board on Research Integrity. www.tenk.fi/en
Responsible conduct of research and procedures for handling allegations of misconduct in Finland. 2012. Finnish National Board on Research Integrity. www.tenk.fi/en
Tang, H. (2020). Engineering Research: Design, Methods, and Publication. Wiley.
Tuula Kotikoski
Lutakko Campus
08.01.2024 - 19.05.2024
- webinars/replacing assignments 16 h
- learning tasks 79 h
- studying the course material 40 h
Total 135 hours.
20.11.2023 - 04.01.2024
The course starts with webinar lessons in Tuula's Zoom - message by email to confirm dates and times of the webinars i August.
Taking part in the course start webinar is also a sign of your participation in the course.
The course is modular, where it takes 2-3 weeks to complete the materials and learning tasks of the modules.
The course has 7-8 webinars (dates confirmed later).
You can complete the course by combining study and work, by studification. Agree on studification of the course with the lecturer in charge of the course. For more information on studification, see the degree regulations and study guide.
0 - 30
Assessment methods:
Reflective self-assessment, continuous feedback, assessment of the course is based on course assignments.
Master's Degree Programme in Robotics
Face-to-face
School of Business
Graduates of the degree programme are familiar with the latest development trends in robotics and understand the opportunities and limitations provided by robotics. They are familiar with the latest technological solutions of physical robots and are able to develop new products, services and business that utilise robotics. They are capable of working in demanding expert positions in the field of robotics.
The studies consist of JAMK's shared Master’s degree courses, the specialist studies offered by the degree programme, and complementary studies that support the student’s learning and career objectives. The specialist studies focus on the completion of the Master’s thesis or working life development assignment. The structure of the studies (60 credits) is as follows:
Shared master competence (5 cr):
Research and Development 5 op
- Research-based Development (5op)
Expert core competence (50 cr):
Robotis (20 cr)
- Robotics Applications (5 cr)
- Safety in Automation (5 cr)
- Machine Learning in Robotics (5 cr)
- Automation Networks and Cyber Security (5 cr)
Master's thesis (30 cr)
Complementary competence (5 cr)
The studies are flexibly implemented in the form of part-time studies that are partly offered online, so studies can be successfully pursued irrespective of where you live or work.
In accordance with the principle of recognition of prior learning and experience, you can identify what you already know, which allows you to apply for accreditation based on such competence (see Degree Regulations, Section 17). You may have acquired prior learning, or you may acquire it during your studies, in many different ways by studying in another institution of higher education, by working or by engaging in project or volunteer work.
Students have a choice of alternative or elective studies offered by partner universities in Finland and abroad, such as other universities of applied sciences (CampusOnline), universities and educational institutions involved in the EduFutura collaboration (University of Jyväskylä and Gradia). Higher level studies completed elsewhere may be accredited as part of your degree. The student must have a certificate or some other document to prove that they have completed the studies. Skills acquired elsewhere can also be described and demonstrated to enable accreditation. Further information is available in the Study Guide.
The learning assignments included in the courses can be completed in the student’s own work community. Many work community development tasks can also be taken up to be planned, refined and resolved as learning assignments and projects.
It is possible to build a personal study path for the studies through studification of work and a wide utilisation of the courses offered by JAMK’s master’s degree programmes.
The thesis is a research-based working life development assignment.
The Degree Programme in Robotics is specifically targeted at Bachelors of Science in the fields of electricity, automation, electronics and ICT as well as experts who have already completed other suitable education. The degree programme is suitable for those who are in the early stages of their careers as well as for those who already have a wealth of experience and a long career in working life. Graduates from the degree programme may work in industry and businesses or as entrepreneurs in demanding planning tasks or in managerial duties.
Development as an expert in robotics will provide the students with opportunities to apply for new and challenging positions and to advance their career. Having completed a master’s degree at a university of applied sciences, graduates possess the skills required for developing the operations of organisations and actively producing new competences.
There are no specific degree-related or statutory qualification requirements in the field.
The graduate may apply to continue on to postgraduate studies in science or arts at universities (Act 558/2009, Section 37) and in the school of professional teacher education. Studies can be continued by applying for corresponding post-degree education at universities abroad, for example. A university of applied sciences also provides opportunities for continuing education in the form of specialisation studies, open studies, an online study portal (CampusOnline) and working life based continuing education.
Working-life representatives and experts and JAMK’s specialists have been involved in the planning of the degree programme. The planning of the objectives and content of the degree programme is based on the information obtained from research and working life representatives on the current and future competence needs. Advisory committees from various fields, consisting of experts and managers of different businesses, also regularly take part in the planning process. The programme is constantly developed based on the continuing feedback from students active in working life.
Väänänen Olli
Principal Lecturer, School of Technology
+358407167472
firstname.lastname@jamk.fi