Master's Degree Programme in Artificial Intelligence and Data Analytics: Part-time studies
Code: YTI2020SS
- Degree title
- Master of Engineering
- Credits
- 60 ects
- Duration
- 2 years (60 cr)
- Start semester
- Autumn 2020
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) | 2020-2021 | 2021-2022 | Autumn 2020 | Spring 2021 | Autumn 2021 | Spring 2022 | 1. / 2020 | 2. / 2021 | 3. / 2021 | 1. / 2021 | 2. / 2022 | 3. / 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
YZWZ0Z-1014 |
RESEARCH AND DEVELOPMENT
(Choose one ) |
5 | ||||||||||||
YZWZ0110 | Research-based Development | 5 | 5 | 5 | 2.5 | 2.5 | ||||||||
YZWZ0120 | Quantitative Research | 5 | ||||||||||||
YZWZ0130 | Qualitative Research | 5 | ||||||||||||
YZWZ1Z-1015 |
MANAGEMENT
(Choose 5) |
0 - 5 | ||||||||||||
YZWZ0210 | Formulating Strategy | 5 | ||||||||||||
YZWZ0220 | Leadership Dynamics | 5 | ||||||||||||
YZWZ0230 | Managerial Accounting | 5 | ||||||||||||
YTIP2Z-1001 |
ARTIFICIAL INTELLIGENCE AND DATA-ANALYTICS, EXPERT CORE COMPETENCE
(Choose all ) |
20 | ||||||||||||
YTIP2100 | Artificial Intelligence | 5 | 5 | 5 | 5 | |||||||||
YTIP2200 | Data Analytics | 5 | 5 | 5 | 2.5 | 2.5 | ||||||||
YTIP2300 | Machine Learning | 5 | 5 | 5 | 5 | |||||||||
YTIP2400 | Deep Learning and Neural Networks | 5 | 5 | 5 | 2.5 | 2.5 | ||||||||
YIIZ0Z-1040 |
MASTER'S THESIS
(Choose all ) |
30 | ||||||||||||
YZWON100 | Master's Thesis | 30 | 10 | 20 | 5 | 5 | 5 | 15 | 5 | 2.5 | 2.5 | 5 | 7.5 | 7.5 |
YW00BB54 | Maturity Test | 0 | ||||||||||||
YTI2020SS-1001 |
COMPLEMENTARY COMPETENCE
(Choose 5) |
5 | ||||||||||||
YTI2020SS-1003 |
ELECTIVE STUDIES
(Choose ects: 5) |
5 | ||||||||||||
YTI2020SS-1002 |
ZZC02Z CAMPUSONLINE
(Choose 0) |
0 | ||||||||||||
Total | 60 | 25 | 30 | 10 | 15 | 10 | 20 | 10 | 7.5 | 7.5 | 10 | 10 | 10 |
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 |
Maturity Test |
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: Common working life competences 2020-2022
Ethical competence
The student |
Research-based Development |
Quantitative Research |
Qualitative Research |
Leadership Dynamics |
Master's Thesis |
Internationalisation and communications competence
The student |
Formulating Strategy |
Learning and information management competence
The student |
Research-based Development |
Quantitative Research |
Qualitative Research |
Entrepreneurship, innovation and working community competence
The student |
Formulating Strategy |
Leadership Dynamics |
Managerial Accounting |
Not grouped |
Artificial Intelligence |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
Maturity Test |
Master's degree: EUR-ACE competences in Technology 2020-2023
Communication and Team-working, Master's Degree
Master's Degree graduates have: |
No attached course units |
Engineering Analysis, Master's Degree
Master's Degree graduates have: |
No attached course units |
Engineering Design, Master's Degree
Master's Degree graduates have: |
No attached course units |
Engineering Practice, Master's Degree
Master's Degree graduates have: |
No attached course units |
Investigations, Master's Degree
Master's Degree graduates have: |
No attached course units |
Knowledge and Understanding, Master's Degree
Master's Degree graduates have: |
No attached course units |
Lifelong Learning, Master's Degree
Master's Degree graduates have: |
No attached course units |
Making Judgements, Master's Degree
Master's Degree graduates have: |
No attached course units |
Not grouped |
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 |
Maturity Test |
Code | Name | Credits (cr) |
---|---|---|
YZWZ0Z-1014 |
RESEARCH AND DEVELOPMENT
(Choose one ) |
5 |
YZWZ0110 | Research-based Development | 5 |
YZWZ0120 | Quantitative Research | 5 |
YZWZ0130 | Qualitative Research | 5 |
YZWZ1Z-1015 |
MANAGEMENT
(Choose 5 ) |
0 - 5 |
YZWZ0210 | Formulating Strategy | 5 |
YZWZ0220 | Leadership Dynamics | 5 |
YZWZ0230 | Managerial Accounting | 5 |
YTIP2Z-1001 |
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 |
YIIZ0Z-1040 |
MASTER'S THESIS
(Choose all ) |
30 |
YZWON100 | Master's Thesis | 30 |
YW00BB54 | Maturity Test | 0 |
YTI2020SS-1001 |
COMPLEMENTARY COMPETENCE
(Choose 5 ) |
5 |
YTI2020SS-1003 |
ELECTIVE STUDIES
(Choose ects: 5 ) |
5 |
YTI2020SS-1002 |
ZZC02Z CAMPUSONLINE
(Choose 0 ) |
0 |