Please select the curriculum by the start year of studies and track.
English
Päivi Korpivaara
01.08.2020 - 31.07.2023
Master's Degree Programme in Sport Business Management, Master's Degree Programme in Artificial Intelligence and Data-analytics, Master's Degree Programme in Information Technology, Full Stack Software Development, Master's Degree Programme in Professional Project Management, Master's Degree Programme in International Business Management, Master's Degree Programme in Information Technology, Cyber Security
Online learning
30 cr
Liiketoimintayksikkö
English
The course is implemented flexibly as a hybrid teaching, always possible to study online. So you can study successfully anywhere mostly according to your own plan and schedule. With a group and individual guidance, you get support to solve the problems and complete exercises and development assignment.
The course utilizes digital and interactive tools. E-learning includes e.g. online discussions with a group or teacher, assignments and tests in an e-learning environment to assess and develop your own skills and learning, video lectures and self-study of source material.
E-learning is suitable for self-directed students who are interested in developing their own skills. The wishes of the student group are taken into account in the implementation methods. In addition, as a group of students, there is guidance in an e-learning environment and you can participate in online meetings of your choice. If you wish, you can also make appointments on your own and do learning assignments together, advising and receiving help and tips from other members of the group.
Päivi Korpivaara
The study material is in JAMK's e-learning environment. In addition, you need books mentioned on the description on the study unit.
Milla Welling
The completion of the course can be constructed in part or in full as a personal study path by studyfication the activities included in the work.
It is recommended to link the development assignment of the course to the development of your own work and the activities of your organization. It is also possible to develop your own business during the course.
You can also bring the development needs of your organization to be planned, refined, and solved as learning tasks.
The deadline for returning assignments is 31.12.2020.
Contact the teacher to agree on renewals.
01.08.2020 - 31.12.2020
Seminar days or online meetings take 15–35 h.
Independent and group work is 100-120h, which includes guidance in the e-learning environment and through the Zoom online working environment.
The total workload and the need of time is 135 h (the amount of work required for one ECTS credit is 27 hours).
03.08.2020 - 30.08.2020
Our hybrid teaching combines face-to-face and online teaching into one cohesive experience. You can come to JAMK Dynamo Campus or follow and participate in the discussion online.
As group or individual guidance is available in JAMK's e-learning environment and through the Zoom video conference system.
The group can also agree to use Microsoft Teams for chat-based collaboration platform, share documents, online team meetings, and all communications between participates and teachers.
The course is evaluated as a process evaluation, including:
- Pre-assignment (S = Pass)
- Surveys (S = Pass)
- Exercises ( Grade 40%)
- Development assignment, including self-evaluation (Grade 60%)
- Activity during contact teaching and discussions in a learning environment.
0 - 5
Master's Degree Programme in Artificial Intelligence and Data-analytics, Master's Degree Programme in Information Technology, Full Stack Software Development, Master's Degree Programme in Professional Project Management, Master's Degree Programme in Information Technology, Cyber Security
Online learning
4 cr
5 cr
School of Technology
English
See the schedule in Peppi, a student and study information system.
Online implementation. Eight online webinars in Tuula Kotikoski's Zoom.
The course is implemented flexibly as online studies. So you can study successfully anywhere mostly according to your own plan and schedule. With a group and individual guidance, you get support to solve the problems and complete exercises and a development assignment.
The course utilizes digital and interactive tools. E-learning includes e.g. online discussions with a group or teacher, assignments and tests in an e-learning environment to assess and develop your own skills and learning, video lectures and self-study of source material.
E-learning is suitable for self-directed students who are interested in developing their own skills. The wishes of the student group are taken into account in the implementation methods. In addition, as a group of students, there is guidance in an e-learning environment and you can participate in online meetings of your choice. If you wish, you can also make appointments on your own and do learning assignments together, advising and receiving help and tips from other members of the group.
Hannariina Honkanen
Bryman, A. 2012. Social research methods. Oxford: Oxford University Press cop.
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
Tuula Kotikoski
It is recommended to link the development assignment of the course to the development of your own work and the activities of your organization. The course is a good time to develop and start your own thesis.
The deadline for returning assignments is 31.5.2021.
Contact the teacher to agree on renewals.
01.01.2021 - 17.05.2021
Seminar days or online meetings take 15 – 35 h.
Independent and group work is 100 – 120 h, which includes guidance in the e-learning environment and through the Zoom online working environment.
The total workload and the need of time is 135 h (the amount of work required for one ECTS credit is 27 hours).
02.11.2020 - 30.11.2020
Online Implementation:
Presenting on the online discussion platform is a sign of your participation in the course. A video presentation should be made at the beginning of the course during the first two weeks.
The course is modular, which means it takes 2-3 weeks to complete the materials and learning tasks of each of the modules.
The course has 8 webinars in five modules.
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.
Master's Degree Programme in Sport and Exercise Physiotherapy, Master's Degree Programme in Artificial Intelligence and Data-analytics, Master's Degree Programme in Information Technology, Full Stack Software Development, Master's Degree Programme in Professional Project Management, Master's Degree Programme in International Business Management, Master's Degree Programme in Information Technology, Cyber Security
Online learning
5 cr
School of Technology
English
Contact instruction at 3 or 4 weekends: on Fridays at 2pm - 8pm, and on Saturdays at 9am - 3pm.
Location: IT-Dynamo, Piippukatu 2, 40100 Jyväskylä.
Contact instruction at 3 or 4 weekends during the semester.
Exercises and distance learning between the contact sessions.
Study project covering a topic based on individual needs.
Mika Rantonen
Relevant parts of the following books:
The Essential AI Handbook for Leaders
by Peltarion (59 pages).
Ethical Artificial Intelligence
by Bill Hibbard (2015, 177 pages).
The Quest for Artificial Intelligence: A History of Ideas and Achievements
by Nils J. Nilsson (2009, 707 pages).
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edition (corrected)
by Trevor Hastie, Robert Tibshirani, and Jerome Friedman (2017, 764 pages).
Python Data Science Handbook: Essential Tools for Working with Data
by Jake VanderPlas (2016 O'Reilly Media, 541 pages).
pandas: powerful Python data analysis toolkit
by Wes McKinney and the Pandas Development Team (2020, 3071 pages).
Further defined during the first contact session.
Tuula Kotikoski, Tuomo Sipola
It is advisable that the students use their own work environment as an object of study and as a data source.
Possible guest lecturers from companies.
Lutakko Campus
21.08.2020 - 18.12.2020
5 ECTS credits equals about 135 hours of study work.
Contact instruction: 36 hours
Exercises: 36 hours
Study project: 63 hours
03.08.2020 - 30.08.2020
0 - 32
Feedback on exercises and study project.
Self evaluation.
Peer evaluation.
Open UAS 5
Master's Degree Programme in Artificial Intelligence and Data-analytics
Face-to-face, Online learning
4 cr
School of Technology
Finnish
Contact instruction at 3 or 4 weekends: on Fridays at 2pm - 8pm, and on Saturdays at 9am - 3pm.
Location: IT-Dynamo, Piippukatu 2, 40100 Jyväskylä.
5 ECTS credits equals about 135 hours of study work.
Contact instruction: 36 hours
Exercises/Study project: 99 hours
Mika Rantonen
Joel Grus: Data Science from Scratch: First Principles with Python
Tuula Kotikoski, Pekka Varis
It is advisable that the students use their own work environment as an object of study and as a data source.
Possible guest lecturers from companies.
Lutakko Campus
The course does not have an exam. The assessment is based on the evaluation assignments.
11.01.2021 - 18.06.2021
Opintojaksolla on 3-4 kontaktiopetus viikonloppua (pe klo 14-20 ja la 9-15). Näiden välissä on harjoitustöitä ja oppimistehtäviä. (not translated)
02.11.2020 - 30.11.2020
Contact instruction at 3 or 4 weekends: on Fridays at 2pm - 8pm, and on Saturdays at 9am - 3pm. Exercises/study projects will be between the contact instructions.
5 ECTS credits equals about 135 hours of study work.
Contact instruction: 36 hours
Exercises/Study project: 99 hours
0 - 32
Avoin amk 5 (not translated)
Master's Degree Programme in Artificial Intelligence and Data-analytics
Face-to-face, Online learning
3 cr
School of Technology
English
Independent study, media bulletin will be published in jamk.fi
Hannu Luostarinen
Your own master´s thesis
JAMK open course material Internal Bulletin as a Maturity Test
Jouni Huotari, Raija Hämäläinen, Tero Kokkonen, Mika Rantonen, Jari Hautamäki, Tuula Kotikoski, Sampo Kotikoski, Jarmo Nevala, Karo Saharinen, Tarja Lappalainen-Kajan, Marko Vatanen, Tuomo Sipola, Markku Vajaranta, Esa Salmikangas, Jani Päijänen
Lutakko Campus
01.08.2020 - 31.07.2021
- Preparation for a maturity test 3 hours
- Writing a maturity test for 3 hours
01.08.2020 - 31.05.2021
0 - 200
The supervisor of the master's thesis will assess content and language of media bulletin.
Master's Degree Programme in Artificial Intelligence and Data-analytics, Master's Degree Programme in Information Technology, Full Stack Software Development, Master's Degree Programme in Information Technology, Cyber Security
Online learning
School of Technology
English
Webinars:
Sep. 18th, 13-16
Sep. 25th, 9-12
Oct. 1st, 13-16
Oct. 9th, 9-12
Oct 23rd, 13-16
Individual learning tasks
Small group work online
Webinars
Online Discussions
Recorded online lectures, podcasts
Sanna Sihvonen
Dodd, S-J. & Epstein, I. 2012. Practice-based research in social work: a guide for reluctant researchers. London; New York: Routledge.
OR
Bryman, A. 2012. Social research methods. Oxford: Oxford University Press cop.
OR
Burns, N. & Grove, S. K. 2001. The practice of nursing research. Conduct, Critique, and Utilization. 5th edition or the latest. Philadelphia : Elsevier/Saunders cop.
OR
Polit, D. F. & Beck, C.T. 2014. Essentials of nursing research: appraising evidence for nursing practice. Philadelphia : Wolters Kluwer Health/Lippincott Williams & Wilkins cop.
OR
Yin, R. K. 2018. Case study research and applications : design and methods. Los Angeles: Sage.
Ben Waller, Sanna Sihvonen
Main Campus
01.09.2020 - 18.12.2020
- webinars 15 h
- learning tasks 80 h
- studying the course material 40 h
Total 135 hours.
03.08.2020 - 30.09.2020
0 - 20
Avoin amk 5 paikkaa (not translated)
Master's Degree Programme in Artificial Intelligence and Data-analytics, Master's Degree Programme in Information Technology, Full Stack Software Development, Master's Degree Programme in Professional Project Management, Master's Degree Programme in International Business Management, Master's Degree Programme in Information Technology, Cyber Security
Online learning
5 cr
TA50 - Terveysala
English
Small group and individual guidance held by the main supervisor online as both online and contact meetings
Peer discussion and support
Presentation of the thesis topic and plan in small group meetings
Information seeking workshops held by an Information Specialist
A separate implementation of research writing provided by the JAMK Language Center
Independent work: systematic information seeking, writing a thesis plan, taking care of agreements and research permits related to the thesis, implementing the empirical or functional phase and collecting and analyzing data or material, writing a thesis according to JAMK's reporting or project guidelines, presenting the thesis, self-evaluation
Hannu Luostarinen
On the basis of systematic information seeking, the student obtains scientific literature suitable for the topic, problem solving and research or development methods of the thesis, which are referred to in the thesis in accordance with JAMK's reporting guidelines.
Recommended Reading Material
Stevens, J. S. & Crawford, S. L. Newest version. Project Reporting Instructions. JAMK University of Applied Sciences. https://oppimateriaalit.jamk.fi/projectreportinginstructions/
Master's thesis instructions and forms are in student's intranet in the part "Thesis and maturity test".
Jouni Huotari, Mika Rantonen, Karo Saharinen
The thesis is done as a working life-oriented research-based development work or research. It can also be connected to RDI project.
Lutakko Campus
01.08.2020 - 31.07.2021
1. Thesis planning 189 hours (7 cr)
- Information seeking workshops - carried out by an Information Specialist
- Systematic information seeking and familiarization with source material independently
- Writing and presenting a thesis plan and participating in small group and individual meetings
- Management of agreements and necessary research permit issues
2. Research writing conducted by JAMK Language Center 81 hours (3 cr)
3. Implementation phase 270 hours (10 cr)
- Empirical and functional phase, data collection and analysis
- Participation in small group and individual meetings
4. Thesis reporting and evaluation 270 hours (10 cr)
- Thesis writing, presentation, evaluation, archiving and publishing
Total 810 hours (30 cr, the workload of one credit is 27 hours)
01.08.2020 - 31.05.2021
0. The thesis process begins with an electronic topic proposal and the appointment of a main supervisor.
1. Thesis planning: information acquisition workshops, small group and individual supervision. presentation and approval of the thesis plan incl. data or material collection instruments, thesis agreement and necessary research permitions
2. Writing a research, a separate non-stop implementation by the Language Center, to which you register
3. Thesis implementation: empirical or functional implementation phase of the thesis, data collection and analysis
4. Thesis reporting and evaluation: Thesis writing, presentation, evaluation, archiving and publishing
0 - 200
The thesis is assessed with separate thesis evaluation criteria.
The main supervisor of the thesis provides developmental feedback throughout the thesis process.
Assessment methods: self-assessment, thesis statement - host company or organisation, supervisor's assessment, the assessment decision based on these documents is made by the YAMK thesis working group according to the degree regulations.
Master's Degree Programme in Artificial Intelligence and Data-analytics, Master's Degree Programme in Information Technology, Full Stack Software Development, Master's Degree Programme in Information Technology, Cyber Security
Face-to-face
30 cr
School of Technology
There is no implementations attached to this degree programme.
Student knowledge profile is dictated through his personal learning plan.
Artificial Intelligence and Data Analytics Master’s Degree programme student knows how about possibilities of data analytics and artificial intelligence, their applications, the importance of data quality, and the ethics of artificial intelligence. The student will know how to plan, develop, implement data analytics and artificial intelligence to the various real-world challenges of the project. The student have knowledge and skills to apply the methods to right data in real environments.
The student will have the ability for life-long learning professionally, make decisions and communicate effectively as part of a multinational team. The student knows how to conduct research ethically.
The professional growth of students is carried out with a tutoring process which starts at the very beginning of the studies and continues until graduation. In this process students complete their personal learning plans and discuss their needs for developing their target competences with their designated teacher tutors. The 60-ECTS programme is designed as obligatory core studies and optional studies. The discussions with the teacher tutor lead to selecting appropriate courses in students’ optional studies. The core studies icnludes 20 ECTS Artificial Intelligence and Data Analytics module and 30 ECTS Master thesis. Artificial Intelligence and Data Analytics module develop students' expertise in the Artificial Intelligence and Data Analytics field and the students can choose their topics for their 30-ECTS master thesis. The students are provided with personal supervision and guidance in master thesis seminars when writing their theses. The courses in the management module and the research and development module aim to develop students' shared master competences. In addition, students can take 5 ECTS of elective studies from management electives or other available master level courses and develop their complementary competence.
Students can take the studies part-time (in 3 years) based on their preference. Most of the courses are implemented by blending in-class activities with learning in virtual environments. Students can choose their electives from master level courses of other degree programmes or from CampusOnline, Edufutura, Yritystehdas, and Future Factory. Prior learning can be recognized via other master level studies or through work experience based on discussions with course instructors.
Working life cooperation is an ongoing practice in the programme's curriculum as part-time students continuously reflect on their learning in the courses in the light of their current and previous experiences with their work experiences. Interaction with organisations is intensified during the master thesis stage in the studies when students target to develop practices at their work places or other organisations. Guest lectures given by industry professionals further enhance the working life cooperation.
The students are able to carry out duties as data scientists, AI/ML specialists and managerial work in demanding artificial intelligence and data analytics projects. Developing as an AI/DA expert opens new and challenging positions, and an opportunity to progress in one’s career. The student will deepen his leadership and communication skills as well as networking skills in different roles in AI/DA projects and various roles within the organization. A postgraduate can work as an organizational developer and active producer of new knowledge and skills.
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. The studies can be continued by applying e.g. to corresponding post-degree education at universities abroad. 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.
The learning outcomes laid down in the curriculum of the degree programme have been derived from the analysis of the operating environment , JAMK's own strategy, and the school's core competence areas. The planning has been carried out in cooperation with representatives from regional working life. The development proposals and course feedback submitted by the students of the degree programme have been considered in the development of the curriculum. International expertise takes place by comparing the contents of the educational offerings of partner universities and with the expertise of the visiting lecturers. Representatives of the degree programme are closely involved in the activities of regional and international industirial networks.