Master's Degree Programme in Artificial Intelligence and Data Analytics: Part-time studies
Opetussuunitelman tunnus: YTI2021SS
- Tutkintonimike
- Insinööri (ylempi AMK), tietotekniikka
- Laajuus
- 60 op
- Kesto
- 2 vuotta (60 op)
- Aloituslukukausi
- Syksy 2021
Kuvaus
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.
Opetussuunnitelman kehittäminen ja työelämäyhteistyö
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.
Osaamistavoitteet
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.
Valitse opintojen ajoitus-, rakenne- tai jäsentelynäkymä
Näytä opintojen ajoitukset lukuvuosittain, lukukausittain tai periodeittain
Tunnus | Opinnon nimi | Laajuus (op) | 2021-2022 | 2022-2023 | Syksy 2021 | Kevät 2022 | Syksy 2022 | Kevät 2023 | 1. / 2021 | 2. / 2022 | 3. / 2022 | 1. / 2022 | 2. / 2023 | 3. / 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SHARED MASTER COMPETENCE
(Valitaan erillisten kriteerien mukaan: 10) |
5 - 10 | |||||||||||||
YTI2021SS-1001 |
RESEARCH AND DEVELOPMENT
(Valitaan yksi ) |
5 | ||||||||||||
YZWZ0110 | Research-based Development | 5 | 5 | 5 | 5 | |||||||||
YZWZ0120 | Quantitative Research | 5 | ||||||||||||
YZWZ0130 | Qualitative Research | 5 | ||||||||||||
YTI2021SS-1002 |
MANAGEMENT
(Valitaan erillisten kriteerien mukaan: 5) |
0 - 5 | ||||||||||||
YZWZ0210 | Formulating Strategy | 5 | ||||||||||||
YZWZ0220 | Leadership Dynamics | 5 | ||||||||||||
YZWZ0230 | Managerial Accounting | 5 | ||||||||||||
EXPERT CORE COMPETENCE
(Valitaan kaikki ) |
50 | |||||||||||||
YTI2021SS-1003 |
ARTIFICIAL INTELLIGENCE AND DATA-ANALYTICS,
(Valitaan kaikki ) |
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 | 5 | |||||||||
YTI2021SS-1004 |
MASTER'S THESIS
(Valitaan kaikki ) |
30 | ||||||||||||
YZ00BL94 | Opinnäytetyön suunnittelu, ylempi AMK | 7 | 7 | 2 | 5 | 2 | 2.5 | 2.5 | ||||||
YZ00BL98 | Tutkimuskirjoittaminen, ylempi AMK | 3 | 3 | 3 | 1.5 | 1.5 | ||||||||
YZ00BL95 | Opinnäytetyön toteutus, ylempi AMK | 10 | 10 | 5 | 5 | 5 | 5 | |||||||
YZ00BL96 | Opinnäytetyön raportointi, ylempi AMK | 10 | 10 | 10 | 5 | 5 | ||||||||
YZ00BB05 | Kypsyysnäyte, ylempi AMK | 0 | ||||||||||||
COMPLEMENTARY COMPETENCE
(Valitaan erillisten kriteerien mukaan: 5) |
5 | |||||||||||||
YTI2021SS-1006 |
ELECTIVE STUDIES
(Valitaan opintopisteitä: 5) |
5 | ||||||||||||
YTI2021SS-1007 |
ZZC02Z CAMPUSONLINE
(Valitaan erillisten kriteerien mukaan: 0) |
0 | ||||||||||||
YTI2021SS-1008 |
EDUFUTURA
(Valitaan erillisten kriteerien mukaan: 0) |
0 | ||||||||||||
Yhteensä | 60 | 25 | 30 | 12 | 13 | 15 | 15 | 12 | 6.5 | 6.5 | 15 | 10 | 5 |
Lukukausi- ja lukuvuosikohtaiset opintopistekertymät vaihtelevat valinnaisten ja vapaasti valittavien opintojen ajoituksesta johtuen.
Opintojen tyyppi (YAMK)
Opinnäytetyö |
Opinnäytetyön suunnittelu, ylempi AMK |
Tutkimuskirjoittaminen, ylempi AMK |
Opinnäytetyön toteutus, ylempi AMK |
Opinnäytetyön raportointi, ylempi AMK |
Kypsyysnäyte, ylempi AMK |
Syventävät ammattiopinnot |
Research-based Development |
Quantitative Research |
Qualitative Research |
Formulating Strategy |
Leadership Dynamics |
Managerial Accounting |
Artificial Intelligence |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
Vapaasti valittavat opinnot |
Ei liitettyjä opintojaksoja |
Luokittelemattomat |
YAMK: JAMKin yhteiset työelämäosaamiset 2020-2022
Eettinen osaaminen
Opiskelija |
Research-based Development |
Quantitative Research |
Qualitative Research |
Leadership Dynamics |
Opinnäytetyön suunnittelu, ylempi AMK |
Opinnäytetyön toteutus, ylempi AMK |
Opinnäytetyön raportointi, ylempi AMK |
Kypsyysnäyte, ylempi AMK |
Kansainvälisyys- ja viestintäosaaminen
Opiskelija |
Formulating Strategy |
Opinnäytetyön suunnittelu, ylempi AMK |
Tutkimuskirjoittaminen, ylempi AMK |
Opinnäytetyön toteutus, ylempi AMK |
Opinnäytetyön raportointi, ylempi AMK |
Kypsyysnäyte, ylempi AMK |
Oppimisen ja tiedonhallinnan osaaminen
Opiskelija |
Research-based Development |
Quantitative Research |
Qualitative Research |
Opinnäytetyön suunnittelu, ylempi AMK |
Tutkimuskirjoittaminen, ylempi AMK |
Opinnäytetyön toteutus, ylempi AMK |
Opinnäytetyön raportointi, ylempi AMK |
Yrittäjyys-, innovaatio- ja työyhteisöosaaminen
Opiskelija |
Formulating Strategy |
Leadership Dynamics |
Managerial Accounting |
Luokittelemattomat |
Artificial Intelligence |
Data Analytics |
Machine Learning |
Deep Learning and Neural Networks |
YAMK: Teknologian EUR-ACE osaamiset 2020-2023
Communication and Team-working, Master's Degree
Master's Degree graduates have: |
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: |
Deep Learning and Neural Networks |
Investigations, Master's Degree
Master's Degree graduates have: |
Artificial Intelligence |
Knowledge and Understanding, Master's Degree
Master's Degree graduates have: |
Artificial Intelligence |
Lifelong Learning, Master's Degree
Master's Degree graduates have: |
Ei liitettyjä opintojaksoja |
Making Judgements, Master's Degree
Master's Degree graduates have: |
Machine Learning |
Deep Learning and Neural Networks |
Luokittelemattomat |
Research-based Development |
Quantitative Research |
Qualitative Research |
Formulating Strategy |
Leadership Dynamics |
Managerial Accounting |
Opinnäytetyön suunnittelu, ylempi AMK |
Tutkimuskirjoittaminen, ylempi AMK |
Opinnäytetyön toteutus, ylempi AMK |
Opinnäytetyön raportointi, ylempi AMK |
Kypsyysnäyte, ylempi AMK |
Tunnus | Opinnon nimi | Laajuus (op) |
---|---|---|
SHARED MASTER COMPETENCE
(Valitaan erillisten kriteerien mukaan: 10 ) |
5 - 10 | |
YTI2021SS-1001 |
RESEARCH AND DEVELOPMENT
(Valitaan yksi ) |
5 |
YZWZ0110 | Research-based Development | 5 |
YZWZ0120 | Quantitative Research | 5 |
YZWZ0130 | Qualitative Research | 5 |
YTI2021SS-1002 |
MANAGEMENT
(Valitaan erillisten kriteerien mukaan: 5 ) |
0 - 5 |
YZWZ0210 | Formulating Strategy | 5 |
YZWZ0220 | Leadership Dynamics | 5 |
YZWZ0230 | Managerial Accounting | 5 |
EXPERT CORE COMPETENCE
(Valitaan kaikki ) |
50 | |
YTI2021SS-1003 |
ARTIFICIAL INTELLIGENCE AND DATA-ANALYTICS,
(Valitaan kaikki ) |
20 |
YTIP2100 | Artificial Intelligence | 5 |
YTIP2200 | Data Analytics | 5 |
YTIP2300 | Machine Learning | 5 |
YTIP2400 | Deep Learning and Neural Networks | 5 |
YTI2021SS-1004 |
MASTER'S THESIS
(Valitaan kaikki ) |
30 |
YZ00BL94 | Opinnäytetyön suunnittelu, ylempi AMK | 7 |
YZ00BL98 | Tutkimuskirjoittaminen, ylempi AMK | 3 |
YZ00BL95 | Opinnäytetyön toteutus, ylempi AMK | 10 |
YZ00BL96 | Opinnäytetyön raportointi, ylempi AMK | 10 |
YZ00BB05 | Kypsyysnäyte, ylempi AMK | 0 |
COMPLEMENTARY COMPETENCE
(Valitaan erillisten kriteerien mukaan: 5 ) |
5 | |
YTI2021SS-1006 |
ELECTIVE STUDIES
(Valitaan opintopisteitä: 5 ) |
5 |
YTI2021SS-1007 |
ZZC02Z CAMPUSONLINE
(Valitaan erillisten kriteerien mukaan: 0 ) |
0 |
YTI2021SS-1008 |
EDUFUTURA
(Valitaan erillisten kriteerien mukaan: 0 ) |
0 |