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Master’s Degree Programme in Technological Transformation Leadership (Social and Health Care)

Degree:
Master of Social and Health Care

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

Credits:
90 ects

Technological Transformation Leadership 25S, online studies
Code
(HLTIYTTL25SV)
Enrollment

07.05.2025 - 31.08.2025

Timing

28.10.2025 - 31.12.2025

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus

Teaching languages
  • English
Seats

0 - 60

Degree programmes
  • Master’s Degree Programme in Technological Transformation Leadership (Social and Health Care)
  • Master’s Degree Programme in Technological Transformation Leadership (Technology)
Teachers
  • Arja-Tuulikki Malin
Groups
  • TLTIYTTL25SV
    Master’s Degree Programme in Technological Transformation Leadership 25SV Lahti
  • HLTIYTTL25SV
    Master’s Degree Programme in Technological Transformation Leadership 25SV Lahti

Learning outcomes

The student is able to
- effectively analyze organizational knowledge to drive innovation and improve decision-making
- utilize change management frameworks and models
- develop skills to implement change initiatives, focusing on overcoming resistance and fostering a culture of agility
- implement strategies for effective communication, stakeholder engagement, and addressing resistance to change

Implementation and methods of teaching

Mandatory pre-assignment for the course. Virtual instruction via Zoom ( 3 x 4 h). Essay (8-10 pages).

Timing and attendance

Mandatory pre-assignment 28.10-9.11.2025
Virtual instruction via Zoom 11.11, 18.11 ja 15.11 klo 9-13 - no mandatory attendance
Essay due 31.12.

Learning material and recommended literature

In Moodle

Alternative completion methods

-

Working life cooperation

-

Exam retakes

according to the degree regulations

Learning environment

Zoom, Moodle.

Student time use and work load

Virtual instruction 3x4h
Independent studies before instruction 20h
Pre-assignment and essay 80-100h

Contents

Theory on change management and knowledge management. Analysis of organizational knowledge to drive innovation and decision-making. Change management frameworks and models. Implementing change initiatives, focusing on overcoming resistance and fostering a culture of agility. Strategies for effective change management.

Additional information for students: previous knowledge etc.

-

Assessment scale

1-5

Failed (0)

The student uses some of the key concepts of and knows the theoretical foundations, but does not show skills for applying it. The student refers in the essay mainly to the material presented in class, but has not increased his or her own knowledge with other source material.

Assessment criteria: level 1 (assessment scale 1–5)

The student is able to apply theoretical knowledge of in describing and evaluating the operations of various organizations. The student uses the key concepts and theories of change and knowledge management. The student uses relevant published sources in the essay.

Assessment criteria: level 3 (assessment scale 1–5)

The student is able to apply theoretical knowledge in describing and evaluating the operations of various organizations. The student uses key concepts and demonstrates understanding and competence in theory. The student is also familiar with research.

Assessment criteria: level 5 (assessment scale 1–5)

The student is able to apply theoretical knowledge critically in describing and evaluating the operations of various organizations. The student uses key concepts skillfully and demonstrates a deep understanding of theory. The student is also familiar with international research knowledge in a broad and in-depth manner.

Enrollment

07.05.2025 - 31.08.2025

Timing

27.08.2025 - 15.10.2025

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus

Teaching languages
  • English
Degree programmes
  • Master’s Degree Programme in Technological Transformation Leadership (Social and Health Care)
  • Master’s Degree Programme in Technological Transformation Leadership (Technology)
Teachers
  • Matti Welin
  • Tommi Veijalainen
  • Annamaija Id-Korhonen
  • Rami Viksilä
Scheduling groups
  • Verkkoluento 1 (Size: 500. Open UAS: 0.)
Groups
  • TLTIYTTL25SV
    Master’s Degree Programme in Technological Transformation Leadership 25SV Lahti
  • HLTIYTTL25SV
    Master’s Degree Programme in Technological Transformation Leadership 25SV Lahti
Small groups
  • Online lecture 1

Learning outcomes

The student is able to
- evaluate the influence of emerging technologies on their specific discipline and the broader society
- analyze key megatrends and their connections to technological development
- apply diverse technologies to address complex practical challenges
- develop informed perspectives on the future technological evolution and its potential implications

Implementation and methods of teaching

Moodle learning platform and online lectures in Zoom platform.

Timing and attendance

Autumn 25
Online lectures 27.8.- 15.10. on Wednesdays at 9-13 o'clock. In between the assignments.

Learning material and recommended literature

The learning materials and literature will be shown in Moodle platform.

Alternative completion methods

Recognition of prior learning with suitable method

Learning environment

Moodle platform and online lectures.

Student time use and work load

Online lectures 27.8.- 15.10. on Wednesdays at 9-13 o'clock. In between the assignments.

Contents

Evaluatin of the influence of emerging technologies on their specific discipline and the broader society
Analysis of the key megatrends and their connections to technological development
Application of diverse technologies to address complex practical challenges
Development of informed perspectives on the future technological evolution and its potential implications.

Megatrends 2050 affecting technological transformation, Quantum computers and computing, LLM basics, Prompt engineering, LLM technical comparison, LLM fine-tuning, RAG, agent basics and NotebookLM an ethics, technological megatrends in social and health care.

Assessment criteria

Each lecturer has its own assessment task or exam.

Assessment scale

1-5

Failed (0)

Student does not reach the objectives of the course.

Can't solve science problems during the course.

Assessment criteria: level 1 (assessment scale 1–5)

Student does reach some of the objectives, expected knowledge and skills in this course course.

Can apply the learned techniques to science problems presented during the course. Can solve science problems

Assessment criteria: level 3 (assessment scale 1–5)

Student can partly reach the learning objectives and expected knowledge, skills, critical thinking and synthesize information to solve complex problems in this course course.

Can solve science problems during the course in a versatile way. Show active participation and understanding during the course

Assessment criteria: level 5 (assessment scale 1–5)

Student can fully reach the learning objectives and expected knowledge, skills critical thinking and synthesize information to solve complex problems in this course.

Can solve all or almost all science problems during the course. Show good command of course related facts and can apply them during the course.