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Master’s Degree Programme in Data Expertise and Artificial Intelligence: 25YDS

Code: 25YDS

Degree:
Master of Health Care

Degree title:
Master of Health Care
Master of Health Care
Master of Health Care
Master of Health Care
Master of Health Care
Master of Health Care
Master of Health Care
Master of Social Services

Credits:
90 ects

Duration:
1.5 years (90 cr)

Start semester:
Spring 2025

Description

ELIGIBILITY
Master's degree is designed for people who have completed a Bachelor’s degree, and who have at least two years of work experience in a relevant field after graduation. In cases of persons who have completed a vocational degree or have another university degree, and who have since completed an applicable Bachelor’s degree, relevant work experience may be accepted from the time before graduation from said degree programme.

COMPETENCES
Digitalization is changing society and organizations rapidly. As a result, the needs of working life are also changing. The importance of data is constantly growing and artificial intelligence is increasingly being used in various applications. These changes brought about by digitalization require experts in various fields to increase their knowledge of the data and identify the potential of artificial intelligence, without forgetting the ethical aspects involved.

The Master’s Degree Programme in Data Expertise and Artificial Intelligence programs will equip you with the ability to independently act as an expert and developer in demanding tasks that require data and utilize artificial intelligence or are intended to be utilized in the future. During the training, you will learn to recognize the different data needs of your specialist area and understand the potential of utilizing data in your expertice area. You will also learn how to pre-process, analyze and visualize data in practice.

During the training you will familiarize yourself with the concepts and methods of artificial intelligence and you will also apply the methods and applications of artificial intelligence in practice. Participating students come from a variety of educational backgrounds (including engineers, nurses, and tradenomes), which gives you an excellent opportunity to network and understand the concepts of experts in different disciplines and ways to solve problems. The aim is for students to share knowledge and skills with each other. Training will equip you to deepen your professional skills and provide you with methods and tools to continue developing your skills beyond training.

PROFESSIONAL STATUS
Companies and organizations are in dire need of experts who have not only their own substantive knowledge but also data and artificial intelligence expertise. They can work as experts in a variety of project, design and development tasks.

Job titles can include a senior engineer, a data expert, an application specialist, a project manager, a system manager, a special engineer, or a specialist.

EDUCATION VALUE BASIS
Responsibility and ethics are always associated with data processing and the use of artificial intelligence. These are also suitable as a value basis for education.

STRUCTURE
The studies consist of a thesis (30 ECTS) research and development related to data and / or artificial intelligence and advanced professional studies (25 ECTS credits), free-choise studies (15 ECTS), optional elective studies (20 ECTS credits, depending on the student background).

In advanced professional studies, you will develop your knowledge and skills in digitalisation, data skills and artificial intelligence techniques.

Show study timings by academic year, semester or period

Code Name Credits (cr) 2024-2025 2025-2026 Spring 2025 Autumn 2025 Spring 2026 3. / 2025 4. / 2025 1. / 2025 2. / 2025 3. / 2026 4. / 2026
25YDS-1001
Advanced Professional Studies

(Choose all )

25
5Y00HC56 Digitalisation Technologies 5 5 5 2.5 2.5
5Y00HC58 Data Collection and Processing 5 5 5 2.5 2.5
5Y00HC60 Data Analysis and Data Visualization 5 5 5 2.5 2.5
5Y00HC62 AI Solutions 5 5 5 2.5 2.5
5Y00HC64 AI Methods 5 5 5 2.5 2.5
25YDS-1002
Common Master Studies

(Choose ects: 15)

15
NY00EC51 Evidence-Based Practice 5 5 5 2.5 2.5
NY00EC55 Qualitative and Action-based Research and Development Methods 5 5 5 2.5 2.5
NY00EC61 Foundations of Financial Management 5 5 5 2.5 2.5
NY00GB02 Futures Studies and Foresight 5 5 5 2.5 2.5
NY00EC63 Strategy and Change Management, as well as Communication 5 5 5 2.5 2.5
NY00EC59 Leadership and HRM 5 5 5 2.5 2.5
NY00FD95 Analyzing management communication 5 5 5 2.5 2.5
NY00EC67 Project Competence 5 5 5 2.5 2.5
NY00GT97 Regulation of Public Administration 5 5 5 2.5 2.5
3E00GT93 Leading Cultural Diversity 5 5 5 2.5 2.5
NY00EC65 Technology Know How Management 5 5 5 2.5 2.5
NY00GN70 Qualitative Research and Development at Work 5 5 5 2.5 2.5
NY00GN73 Quantitative Research and Development at Work 5 5 5 2.5 2.5
NY00EH17 Introduction to LEAN 5 5 5 2.5 2.5
1L00FY55 Training ja Counselling Skills in Working Life 5 5 5 2.5 2.5
5Y00HC73 Working in a Project 5 5 5 2.5 2.5
25YDS-1003
Free-Choice Studies

(Choose ects: 20)

20
5Y00HC66 AI Applications 5 5 5 2.5 2.5
25YDS-1004
Master's Thesis

(Choose all )

30
NY00FJ81 Master's Thesis Design 5 5 5 2.5 2.5
NY00FJ82 Implementation of the Master's Thesis 20 6.7 13.3 6.7 6.7 6.7 3.3 3.3 3.3 3.3 3.3 3.3
NY00FJ83 Master's Thesis Reporting and Evaluation 5 5 2.5 2.5 1.3 1.3 1.3 1.3
Total 90 26.7 113.3 26.7 24.2 89.2 13.3 13.3 12.05 12.05 44.55 44.55

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

Sustainability and Responsibility

Sustainable Future is one of the pedagogical principles of TAMK. Ecological, social, cultural, and economic sustainability are important building blocks of a sustainable future. All these perspectives can be observed on individual, sectoral, societal, or global scales.

Ecological sustainability

Ecological sustainability can relate to biodiversity, ecosystem functions, sustainable and just use of resources (e.g. circular economy), and ways of mitigating human activities regarding nature’s carrying capacity (e.g. climate change).

Digitalisation Technologies
Cultural sustainability

Cultural sustainability relates to knowledge of culture, pluralism, tolerance, valuing cultural diversity, and contributing to intercultural communication.

Digitalisation Technologies
Social sustainability

Social sustainability relates to equal distribution of well-being, realization of fundamental rights, engagement in societal action and decision making, as well as to coping with individual challenges, taking responsibility, and pursuing sustainable lifestyle.

Digitalisation Technologies
Economic sustainability

Economic sustainability can manifest in combining environmental and economic perspectives in decision making, discussing responsible consumption and business, or addressing different forms of debts (economic, resource-related, social).

Digitalisation Technologies
Data Collection and Processing
Data Analysis and Data Visualization
AI Solutions
AI Methods
AI Applications
Master's Thesis Design
Implementation of the Master's Thesis
Master's Thesis Reporting and Evaluation
Future orientation

Future orientation can appear as dealing with megatrends or powers of transformation, or as discussing and creating scenarios, or as future oriented career counselling or coaching.

Digitalisation Technologies
Data Collection and Processing
Data Analysis and Data Visualization
AI Solutions
AI Methods
AI Applications
Master's Thesis Design
Implementation of the Master's Thesis
Master's Thesis Reporting and Evaluation
Unclassified
Evidence-Based Practice
Qualitative and Action-based Research and Development Methods
Foundations of Financial Management
Futures Studies and Foresight
Strategy and Change Management, as well as Communication
Leadership and HRM
Analyzing management communication
Project Competence
Regulation of Public Administration
Leading Cultural Diversity
Technology Know How Management
Qualitative Research and Development at Work
Quantitative Research and Development at Work
Introduction to LEAN
Training ja Counselling Skills in Working Life
Working in a Project