Master Business Administration, Commercialization - From Ideas to Euros (in Finnish)
Master of Business Administration, Commercialization - From ideas to euros (in Finnish) 25K, online studies
Enrollment
20.11.2024 - 10.01.2025
Timing
15.01.2025 - 28.03.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Master Business Administration, Commercialization - From Ideas to Euros (in Finnish)
Teachers
- Riitta Forsten-Astikainen
Scheduling groups
- Verkkoluento (Size: 0. Open UAS: 0.)
- Avoimen ammattikorkeakoulun kiintiö (Size: 10. Open UAS: 10.)
Groups
-
LLPRYKAUP25KV
Small groups
- Online lecture
- Open UAS quota
Learning outcomes
Student is able to
- analyze competitive environments and identify commercialization opportunities
- map operational environments and recognize market trends and customer needs
- develop strategic business opportunities based on competitive and operational environment analyse
Assessment scale
1-5
Enrollment
20.11.2024 - 10.01.2025
Timing
19.03.2025 - 30.05.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Master Business Administration, Commercialization - From Ideas to Euros (in Finnish)
Teachers
- Tuuli Mirola
- Riitta Forsten-Astikainen
Scheduling groups
- Verkkoluento (Size: 0. Open UAS: 0.)
- Avoimen ammattikorkeakoulun kiintiö (Size: 14. Open UAS: 14.)
Groups
-
LLPRYKAUP25KV
Small groups
- Online lecture
- Open UAS quota
Learning outcomes
Student is able to
- analyze and interpret consumer behavior and its trends in different market situations
- master the key methods of market research and apply them in practice
- utilize insights from consumer behavior
Student time use and work load
5 cr = 135 hours student work
Assessment scale
1-5
Enrollment
02.12.2024 - 31.12.2025
Timing
01.01.2025 - 31.12.2025
Number of ECTS credits allocated
10 op
Virtual portion
10 op
RDI portion
10 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Master Business Administration, Commercialization - From Ideas to Euros (in Finnish)
Teachers
- Mirka Airesvuo
- Riitta Forsten-Astikainen
- Taina Orpana
Groups
-
LLPRYKAUP25KV
Learning outcomes
The student is able to
- describe the objectives and core contents of their thesis
- plan and describe the stages of the thesis process
- take into account the possible research permit and copyright issues.
Assessment scale
1-5
Enrollment
07.05.2025 - 31.08.2025
Timing
10.09.2025 - 15.10.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Master Business Administration, Commercialization - From Ideas to Euros (in Finnish)
Teachers
- Anna Pajari
- Tiina Taiminen
Scheduling groups
- Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
-
LLPRYKAUP25KV
Small groups
- Online lecture 1
Learning outcomes
Student is able to
- integrate sustainable development perspectives into the development of new products and services
- analyze markets and identify potential commercialization opportunities for sustainable development products and services
- apply principles of sustainable development across various industries and business models
Implementation and methods of teaching
The course is delivered as blended learning, combining face-to-face teaching, independent study, and applied assignments. Teaching methods include lectures, case studies, expert guest lectures, and the use of digital tools (e.g., video presentations, infographics). Learning is interactive and practice-oriented, with students applying their knowledge to practical development tasks.
Timing and attendance
The course is scheduled for the autumn semester 10 th September - 15 th October. It includes three face-to-face sessions (3 x 3 hours), and attendance is highly recommended. A significant amount of independent study is required, and students should allocate sufficient time for applied assignments.
Learning material and recommended literature
- Bocken, N., Short, S., Rana, P., & Evans, S. (2014). "A literature and practice review to develop sustainable business model archetypes."
- Geissdoerfer, M., Vladimirova, D., & Evans, S. (2018). "Sustainable business model innovation: A review."
Relevant articles and research papers provided during the course in Moodle.
Alternative completion methods
The course is completed through individual assignments, but students may choose the presentation format for some tasks (e.g., written report vs. video presentation).
Working life cooperation
The course incorporates real-life business cases and current sustainability innovations from various industries. Expert guest lecture and company case studies support a work-life-oriented learning approach.
Exam retakes
Students may retake a failed assignment according to the instructions of the responsible lecturer. Retake assignments will be determined on a case-by-case basis.
Learning environment
The course is conducted in Moodle, and some assignments require the use of digital tools (e.g., video, infographic creation).
Student time use and work load
Face-to-face teaching (3x3 h)
Preparation for lectures
Assignment 1 (company analysis and video)
Assignment 2 (marketing plan + infographics)
Assignment 3 (final project + presentation)
Other independent work
Total: 135 h
Contents
The course covers sustainability innovation processes, market analysis, commercialization, and applications across different industries.
Additional information for students: previous knowledge etc.
No previous knowledge needed.
Assessment criteria
Assignment 1 (video analysis) – 20%
Assignment 2 (marketing plan + infographic) – 30%
Assignment 3 (final project + presentation) – 50%
Assessment scale
1-5
Failed (0)
Assignments are incomplete or do not meet the given requirements.
No demonstrated understanding of sustainability innovations or business applications.
Insufficient use of sources, and the analysis is weak.
Presentations (video/poster) are of poor quality or incomplete.
Assessment criteria: level 1 (assessment scale 1–5)
Company Analysis and Video Presentation:
Basic understanding of the company's sustainability innovation, but the analysis is superficial.
Video presentation is unstructured or visually weak.
Minimal use of sources.
Marketing Plan and Infographic:
Basic marketing analysis is present, but the commercialization strategy is insufficient.
Infographic is unclear and does not effectively support the plan.
Final Project and Presentation:
Innovation proposal is weak or vague.
Written report lacks depth and proper analysis.
Presentation is unstructured and lacks effective visualization.
Assessment criteria: level 3 (assessment scale 1–5)
Company Analysis and Video Presentation:
Good understanding of the company's sustainability innovation.
Analysis demonstrates a basic level of critical thinking.
Video presentation is clear and well-structured but could be visually improved.
Marketing Plan and Infographic:
Market analysis is comprehensive, but the commercialization strategy needs more depth.
Infographic is clear and supports the analysis but could be visually stronger.
Final Project and Presentation:
Innovation proposal is realistic and well-reasoned.
Written report demonstrates good subject knowledge and references relevant sources.
Presentation is coherent and effectively visualizes key aspects of the innovation.
Assessment criteria: level 5 (assessment scale 1–5)
Company Analysis and Video Presentation:
Deep and critical analysis of the company's sustainability innovation.
Demonstrates excellent understanding of sustainable business models.
Video presentation is well-produced, visually high-quality, and impactful.
Marketing Plan and Infographic:
Market analysis and commercialization strategy are excellently justified.
Infographic is visually engaging and highly informative.
Final Project and Presentation:
Innovation proposal is creative, scalable, and well-founded.
Written report is academically strong, well-referenced, and insightful.
Presentation is convincing, well-structured, and visually compelling.
Enrollment
14.08.2025 - 12.09.2025
Timing
13.09.2025 - 31.12.2026
Number of ECTS credits allocated
20 op
Mode of delivery
Contact teaching
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
Lappeenranta Campus
Teaching languages
- Finnish
Seats
20 - 50
Degree programmes
- Master Business Administration, Commercialization - From Ideas to Euros (in Finnish)
Teachers
- Riitta Forsten-Astikainen
- Taina Orpana
Groups
-
LLPRYKAUP25KV
Learning outcomes
The student is able to
- implement the thesis on the basis of an approved thesis plan
- present the results or output of their thesis
- report on their thesis in writing in accordance with the thesis guidelines of LAB University of Applied Sciences
- as a maturity test, write a blog post, a press release or an article.
Assessment scale
1-5
Enrollment
07.05.2025 - 30.09.2025
Timing
20.10.2025 - 19.12.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
RDI portion
3 op
Mode of delivery
Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Master Business Administration, Commercialization - From Ideas to Euros (in Finnish)
Teachers
- Tarja Keski-Mattinen
Scheduling groups
- Luennot 1 (Size: 0. Open UAS: 0.)
Groups
-
LLPRYKAUP25KV
Small groups
- Lecture 1
Learning outcomes
Student is able to
- identify the opportunities offered by artificial intelligence in commercialization
- apply analytics in the development of commercialization strategies
- evaluate and develop AI-based solutions for commercialization purposes
Implementation and methods of teaching
Implementation as online teaching, preliminary assignment to get familiar with the topic, lectures+discussions and development assignment studying independently or as a team.
Timing and attendance
Online lectures in weeks 45, 48 and final seminar in week 50, Wednesday evenings 17:00-20:30.
Learning material and recommended literature
Material to be distributed during lectures.
Working life cooperation
The development task is carried out as a work assignment.
Learning environment
Lectures, preliminary assignment and development assignment. Implementation online.
Student time use and work load
27 hours of student work per credit = 135 hours of studies for this course
Contents
* The opportunities offered by AI in commercialization
* Applying analytics in developing commercialization strategies
* Evaluating and developing AI-based solutions
Additional information for students: previous knowledge etc.
Completing the course does not require previous studies, but working life experience in business development should be present.
Lectures are on November 5 and November 26, 2025, the final seminar is on December 10, 2025 from 5:00 PM to 8:30 PM.
Assessment criteria
Based on the YAMK assessment framework, which is applied to the completion of the internship, and the results.
Assessment scale
1-5
Failed (0)
The student has not successfully achieved the course objectives.
Assessment criteria: level 1 (assessment scale 1–5)
The student has successfully completed the course objectives. He/she is able to utilize analytics and artificial intelligence in commercialization, create a plan and is able to evaluate the results obtained.
Assessment criteria: level 3 (assessment scale 1–5)
The student has achieved the course objectives well. He/She can create a plan for commercialization using analytics and artificial intelligence. He/She can evaluate a commercialization strategy and produce a written and visual strategy report.
Assessment criteria: level 5 (assessment scale 1–5)
The student has achieved the course objectives excellently. He/she is able to prepare a plan and strategy for commercialization using analytics and artificial intelligence. He/she is able to evaluate a commercialization strategy using the PESTEL model, and produce a written and visual strategy report with an implementation plan.