Master's Degree Programme in Artificial Intelligence and Data Analytics: Part-time studies
Code: YTI2023SS
- Degree title
- Master of Engineering
- Credits
- 60 ects
- Duration
- 2 years (60 cr)
- Start semester
- Autumn 2023
Descriptions
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.
Development
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.
Objective
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.
Select timing, structure or classification view
Show study timings by semester, study year or period
Code | Name | Credits (cr) | 2023-2024 | 2024-2025 | Autumn 2023 | Spring 2024 | Autumn 2024 | Spring 2025 | 1. / 2023 | 2. / 2024 | 3. / 2024 | 1. / 2024 | 2. / 2025 | 3. / 2025 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SHARED MASTER COMPETENCE
(Choose 10) |
5 - 10 | |||||||||||||
YTI2023SS-1001 |
RESEARCH AND DEVELOPMENT
(Choose 5) |
5 | ||||||||||||
YZWZ0110 | Research-based Development | 5 | 5 | 5 | 5 | |||||||||
YZWZ0120 | Quantitative Research | 5 | ||||||||||||
YZWZ0130 | Qualitative Research | 5 | ||||||||||||
YTI2023SS-1002 |
MANAGEMENT
(Choose 5) |
0 - 5 | ||||||||||||
YZWZ0210 | Formulating Strategy | 5 | ||||||||||||
YZWZ0220 | Leadership Dynamics | 5 | ||||||||||||
YZWZ0230 | Managerial Accounting | 5 | ||||||||||||
EXPERT CORE COMPETENCE
(Choose all ) |
50 | |||||||||||||
YTI2023SS-1003 |
ARTIFICIAL INTELLIGENCE AND DATA-ANALYTICS, EXPERT CORE COMPETENCE
(Choose all ) |
20 | ||||||||||||
YTIP2100 | Artificial Intelligence | 5 | 5 | 5 | 5 | |||||||||
YTIP2200 | Data Analytics | 5 | 5 | 5 | 5 | |||||||||
YTIP2300 | Machine Learning | 5 | 5 | 5 | 5 | |||||||||
YTIP2400 | Deep Learning and Neural Networks | 5 | 5 | 5 | 5 | |||||||||
YTI2023SS-1004 |
MASTER'S THESIS
(Choose all ) |
30 | ||||||||||||
YZ00BL94 | Master's Thesis, Planning | 7 | 7 | 2 | 5 | 2 | 5 | |||||||
YZ00BL98 | Master's Thesis, Research Writing | 3 | 3 | 3 | 3 | |||||||||
YZ00BL95 | Master's Thesis, Implementation | 10 | 10 | 5 | 5 | 5 | 5 | |||||||
YZ00BL96 | Master's Thesis, Reporting | 10 | 10 | 10 | 10 | |||||||||
YZ00BB05 | Maturity Test, Master's Degree | 0 | ||||||||||||
COMPLEMENTARY COMPETENCE
(Choose 5) |
5 | |||||||||||||
YTI2023SS-1005 |
ELECTIVE STUDIES
(Choose ects: 5) |
5 | 5 | 5 | 5 | |||||||||
YTI2023SS-1006 |
CAMPUSONLINE
(Choose 0) |
0 | ||||||||||||
YTI2023SS-1007 |
EDUFUTURA
(Choose 0) |
0 | ||||||||||||
Total | 60 | 25 | 30 | 12 | 13 | 15 | 15 | 12 | 13 | 0 | 15 | 15 | 0 |
Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.
Structure of the studies (Master's degree)
Master's Thesis |
Master's Thesis, Planning |
Master's Thesis, Research Writing |
Master's Thesis, Implementation |
Master's Thesis, Reporting |
Maturity Test, Master's Degree |
Advanced Professional Studies |
Research-based Development |
Quantitative Research |
Qualitative Research |
Formulating Strategy |
Leadership Dynamics |
Managerial Accounting |
Artificial Intelligence |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
Elective Studies |
No attached course units |
Not grouped |
Master's degree: EUR-ACE competences in Technology 2020-2023
Communication and Team-working, Master's Degree
Master's Degree graduates have: |
Artificial Intelligence |
Data Analytics |
Engineering Analysis, Master's Degree
Master's Degree graduates have: |
Data Analytics |
Engineering Design, Master's Degree
Master's Degree graduates have: |
Machine Learning |
Engineering Practice, Master's Degree
Master's Degree graduates have: |
Machine Learning |
Deep Learning and Neural Networks |
Investigations, Master's Degree
Master's Degree graduates have: |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
Knowledge and Understanding, Master's Degree
Master's Degree graduates have: |
Artificial Intelligence |
Lifelong Learning, Master's Degree
Master's Degree graduates have: |
Artificial Intelligence |
Making Judgements, Master's Degree
Master's Degree graduates have: |
Deep Learning and Neural Networks |
Not grouped |
Research-based Development |
Quantitative Research |
Qualitative Research |
Formulating Strategy |
Leadership Dynamics |
Managerial Accounting |
Master's Thesis, Planning |
Master's Thesis, Research Writing |
Master's Thesis, Implementation |
Master's Thesis, Reporting |
Maturity Test, Master's Degree |
Compulsory studies (Master's degree)
Compulsory course |
Research-based Development |
Artificial Intelligence |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
Master's Thesis, Planning |
Master's Thesis, Research Writing |
Master's Thesis, Implementation |
Master's Thesis, Reporting |
Maturity Test, Master's Degree |
Recommended course |
No attached course units |
Elective course |
Quantitative Research |
Qualitative Research |
Formulating Strategy |
Leadership Dynamics |
Managerial Accounting |
Not grouped |
Master’s degree: The shared competences 2023-2027
Ethics
The graduating student assesses and promotes the realisation of ethical principles and values of their field of profession, taking equality and non-discrimination into account. |
Research-based Development |
Leadership Dynamics |
Artificial Intelligence |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
Master's Thesis, Planning |
Master's Thesis, Research Writing |
Master's Thesis, Implementation |
Master's Thesis, Reporting |
Maturity Test, Master's Degree |
Proactive development
The graduating student is able to manage the development of new solutions that anticipate the future and produces new information using different research and development methods. |
Research-based Development |
Quantitative Research |
Qualitative Research |
Formulating Strategy |
Leadership Dynamics |
Managerial Accounting |
Artificial Intelligence |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
Master's Thesis, Implementation |
Maturity Test, Master's Degree |
Internationality and multiculturalism
The graduating student is able to develop and manage multicultural and international operating environments and networks. |
Formulating Strategy |
Artificial Intelligence |
Master's Thesis, Implementation |
Master's Thesis, Reporting |
Sustainable development
The graduating student develops and manages sustainable and responsible operating methods in their work and promotes sustainable change in their work community and society. |
Research-based Development |
Formulating Strategy |
Managerial Accounting |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
Master's Thesis, Implementation |
Learning to learn
The graduating student promotes their own and their community's continuous learning and competence development, drawing on knowledge from different fields and the opportunities of digitalisation. |
Research-based Development |
Quantitative Research |
Qualitative Research |
Leadership Dynamics |
Managerial Accounting |
Artificial Intelligence |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
Master's Thesis, Planning |
Master's Thesis, Research Writing |
Master's Thesis, Implementation |
Master's Thesis, Reporting |
Maturity Test, Master's Degree |
Operating in a workplace
The graduating student is able to develop and manage their work community and reforms working life. |
Research-based Development |
Quantitative Research |
Qualitative Research |
Leadership Dynamics |
Managerial Accounting |
Artificial Intelligence |
Data Analytics |
Master's Thesis, Implementation |
Not grouped |
Code | Name | Credits (cr) |
---|---|---|
SHARED MASTER COMPETENCE
(Choose 10 ) |
5 - 10 | |
YTI2023SS-1001 |
RESEARCH AND DEVELOPMENT
(Choose 5 ) |
5 |
YZWZ0110 | Research-based Development | 5 |
YZWZ0120 | Quantitative Research | 5 |
YZWZ0130 | Qualitative Research | 5 |
YTI2023SS-1002 |
MANAGEMENT
(Choose 5 ) |
0 - 5 |
YZWZ0210 | Formulating Strategy | 5 |
YZWZ0220 | Leadership Dynamics | 5 |
YZWZ0230 | Managerial Accounting | 5 |
EXPERT CORE COMPETENCE
(Choose all ) |
50 | |
YTI2023SS-1003 |
ARTIFICIAL INTELLIGENCE AND DATA-ANALYTICS, EXPERT CORE COMPETENCE
(Choose all ) |
20 |
YTIP2100 | Artificial Intelligence | 5 |
YTIP2200 | Data Analytics | 5 |
YTIP2300 | Machine Learning | 5 |
YTIP2400 | Deep Learning and Neural Networks | 5 |
YTI2023SS-1004 |
MASTER'S THESIS
(Choose all ) |
30 |
YZ00BL94 | Master's Thesis, Planning | 7 |
YZ00BL98 | Master's Thesis, Research Writing | 3 |
YZ00BL95 | Master's Thesis, Implementation | 10 |
YZ00BL96 | Master's Thesis, Reporting | 10 |
YZ00BB05 | Maturity Test, Master's Degree | 0 |
COMPLEMENTARY COMPETENCE
(Choose 5 ) |
5 | |
YTI2023SS-1005 |
ELECTIVE STUDIES
(Choose ects: 5 ) |
5 |
YTI2023SS-1006 |
CAMPUSONLINE
(Choose 0 ) |
0 |
YTI2023SS-1007 |
EDUFUTURA
(Choose 0 ) |
0 |