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Master's Degree Programme in Artificial Intelligence and Data Analytics: Part-time studies

Code: YTI2022SS

Degree:
Master of Engineering

Degree title:
Master of Engineering

Credits:
60 ects

Duration:
2 years (60 cr)

Start semester:
Autumn 2022

Teaching language:
English

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.

Show study timings by semester, study year or period

Code Name Credits (cr) 2022-2023 2023-2024 Autumn 2022 Spring 2023 Autumn 2023 Spring 2024 1. / 2022 2. / 2023 3. / 2023 1. / 2023 2. / 2024 3. / 2024
SHARED MASTER COMPETENCE

(Choose 10)

5 - 10
YTI2022SS-1001
RESEARCH AND DEVELOPMENT

(Choose one )

5
YZWZ0110 Research-based Development 5 5 5 5
YZWZ0120 Quantitative Research 5
YZWZ0130 Qualitative Research 5
YTI2022SS-1002
MANAGEMENT

(Choose 5)

0 - 5
YZWZ0210 Formulating Strategy 5
YZWZ0220 Leadership Dynamics 5
YZWZ0230 Managerial Accounting 5
EXPERT CORE COMPETENCE

(Choose all )

50
YTI2022SS-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
YTI2022SS-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 5 5
YZ00BB05 Maturity Test, Master's Degree 0
COMPLEMENTARY COMPETENCE

(Choose 5)

5
YTI2022SS-1005
ELECTIVE STUDIES

(Choose ects: 5)

5 5 5 5
YTI2022SS-1006
CAMPUSONLINE

(Choose 0)

0
YTI2022SS-1007
EDUFUTURA

(Choose 0)

0
Total 60 25 30 12 13 15 15 12 13 0 15 10 5

Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.

Master's degree: Common working life competences 2020-2022

Ethical competence

The student
- promotes the implementation of sustainable development principles and social responsibility as a developer of working life
- applies the principles of equality and non-discrimination in their actions and promotes global responsibility
- applies the principles of good scientific practice and open science in their actions.

Research-based Development
Quantitative Research
Qualitative Research
Leadership Dynamics
Master's Thesis, Planning
Master's Thesis, Implementation
Master's Thesis, Reporting
Maturity Test, Master's Degree
Internationalisation and communications competence

The student
- develops transdisciplinary working life communication and interaction
- develops the various communication forms, channels and environments in their field
- predicts the effects of and opportunities provided by internationalisation development in their professional field
- operates in multicultural and international networks and operating environments.

Formulating Strategy
Master's Thesis, Planning
Master's Thesis, Research Writing
Master's Thesis, Implementation
Master's Thesis, Reporting
Maturity Test, Master's Degree
Learning and information management competence

The student
- evaluates and develops in a goal-oriented manner their expertise by means of continuous learning
- assumes responsibility for their own goal-oriented learning and that of their community as well as competence sharing
- acquires, processes, produces and evaluates knowledge critically and utilises knowledge from various fields in a purposeful manner
- evaluates, utilises and applies digital environments and tools in various kinds of networks.

Research-based Development
Quantitative Research
Qualitative Research
Master's Thesis, Planning
Master's Thesis, Research Writing
Master's Thesis, Implementation
Master's Thesis, Reporting
Entrepreneurship, innovation and working community competence

The student
- is capable of working as a developer of working life in demanding expert and managerial positions or as an entrepreneur
- develops and creates new operations that are customer-driven, sustainable and financially profitable, with due account taken of the foreseen changes in the operating environment
- manages things, people and networks and applied research, development and innovation projects
- develops the operation and occupational well-being of the work communities.

Formulating Strategy
Leadership Dynamics
Managerial Accounting
Not grouped
Artificial Intelligence
Data Analytics
Machine Learning
Deep Learning and Neural Networks

Master's degree: EUR-ACE competences in Technology 2020-2023

Communication and Team-working, Master's Degree

Master's Degree graduates have:
- ability to use diverse methods to communicate clearly and unambiguously their conclusions, and the knowledge and rationale underpinning these, to specialist and non-specialist audiences in national and international contexts
- ability to function effectively in national and international contexts, as a member or leader of a team, that may be composed of different disciplines and levels, and that may use virtual communication tools.

Data Analytics
Engineering Analysis, Master's Degree

Master's Degree graduates have:
- ability to analyse new and complex engineering products, processes and systems within broader or multidisciplinary contexts; to select and apply the most appropriate and relevant methods from established analytical, computational and experimental methods or new and innovative methods; to critically interpret the outcomes of such analyses
- ability to conceptualise engineering products, processes and systems
- ability to identify, formulate and solve unfamiliar complex engineering problems that are incompletely defined, have competing specifications, may involve considerations from outside their field of study and non-technical – societal, health and safety, environmental, economic and industrial – constraints; to select and apply the most appropriate and relevant methods from established analytical, computational and experimental methods or new and innovative methods in problem solving
- ability to identify, formulate and solve complex problems in new and emerging areas of their specialisation.

Data Analytics
Engineering Design, Master's Degree

Master's Degree graduates have:
- ability to develop, to design new and complex products (devices, artefacts, etc.), processes and systems, with specifications incompletely defined and/or competing, that require integration of knowledge from different fields and non-technical – societal, health and safety, environmental, economic and industrial commercial – constraints; to select and apply the most appropriate and relevant design methodologies or to use creativity to develop new and original design methodologies
- ability to design using knowledge and understanding at the forefront of their engineering specialisation.

Machine Learning
Engineering Practice, Master's Degree

Master's Degree graduates have:
- comprehensive understanding of applicable techniques and methods of analysis, design and investigation and of their limitations
- practical skills, including the use of computer tools, for solving complex problems, realising complex engineering design, designing and conducting complex investigations
- comprehensive understanding of applicable materials, equipment and tools, engineering technologies and processes, and of their limitations
- ability to apply norms of engineering practice
- knowledge and understanding of the non-technical – societal, health and safety, environmental, economic and industrial – implications of engineering practice
- critical awareness of economic, organisational and managerial issues (such as project management, risk and change management).

Deep Learning and Neural Networks
Investigations, Master's Degree

Master's Degree graduates have:
- ability to identify, locate and obtain required data
- ability to conduct searches of literature, to consult and critically use databases and other sources of information, to carry out simulation in order to pursue detailed investigations and research of complex technical issues
- ability to consult and apply codes of practice and safety regulations
- advanced laboratory/workshop skills and ability to design and conduct experimental investigations, critically evaluate data and draw conclusions
- ability to investigate the application of new and emerging technologies at the forefront of their engineering specialisation.

Artificial Intelligence
Knowledge and Understanding, Master's Degree

Master's Degree graduates have:
- in-depth knowledge and understanding of mathematics and sciences underlying their engineering specialization, at a level necessary to achieve the other programme outcomes
- in-depth knowledge and understanding of engineering disciplines underlying their specialisation, at a level necessary to achieve the other programme outcomes
- critical awareness of the forefront of their specialisation
- critical awareness of the wider multidisciplinary context of engineering and of knowledge issues at the interface between different fields.

Artificial Intelligence
Lifelong Learning, Master's Degree

Master's Degree graduates have:
- ability to engage in independent life-long learning
- ability to undertake further study autonomously.

Artificial Intelligence
Making Judgements, Master's Degree

Master's Degree graduates have:
- ability to integrate knowledge and handle complexity, to formulate judgements with incomplete or limited information, that include reflecting on social and ethical responsibilities linked to the application of their knowledge and judgement
- ability to manage complex technical or professional activities or projects that can require new strategic approaches, taking responsibility for decision making.

Machine Learning
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

Code Name Credits (cr)
SHARED MASTER COMPETENCE

(Choose 10)

5 - 10
YTI2022SS-1001
RESEARCH AND DEVELOPMENT

(Choose one)

5
YZWZ0110 Research-based Development 5
YZWZ0120 Quantitative Research 5
YZWZ0130 Qualitative Research 5
YTI2022SS-1002
MANAGEMENT

(Choose 5)

0 - 5
YZWZ0210 Formulating Strategy 5
YZWZ0220 Leadership Dynamics 5
YZWZ0230 Managerial Accounting 5
EXPERT CORE COMPETENCE

(Choose all)

50
YTI2022SS-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
YTI2022SS-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
YTI2022SS-1005
ELECTIVE STUDIES

(Choose ects: 5)

5
YTI2022SS-1006
CAMPUSONLINE

(Choose 0)

0
YTI2022SS-1007
EDUFUTURA

(Choose 0)

0