Business Analytics (5 ECTS)
Code: LY00FG25-3004
General information
- Enrollment
- 05.05.2025 - 10.08.2025
-
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
- 20.09.2025 - 25.11.2025
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Virtual portion
- 4 ECTS
- RDI portion
- 5 ECTS
- Mode of delivery
- On-campus and online
- Unit
- Metropolia Business School
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 20 - 35
- Degree programmes
- Master´s Degree Programme in Public Procurement (Social Sciences, Business and Administration)
- Teachers
- MEN Liiketalous ope
- Teacher in charge
- Kaija Haapasalo
- Groups
-
L1224S6Julkisten hankintojen tutkinto-ohjelma, ylempi amk , liiketalous
- Course
- LY00FG25
Implementation has 6 reservations. Total duration of reservations is 20 h 0 min.
Time | Topic | Location |
---|---|---|
Sat 20.09.2025 time 10:00 - 15:00 (5 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3004 |
MMC304
Oppimistila
|
Tue 23.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3004 |
Online
|
Tue 30.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3004 |
Online
|
Tue 28.10.2025 time 17:00 - 20:00 (3 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3004 |
Online
|
Tue 11.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3004 |
Online
|
Tue 25.11.2025 time 17:00 - 20:00 (3 h 0 min) |
Liiketoiminnan analytiikka LY00FG25-3004 |
Online
|
Learning outcomes
Upon completion of the course the student understands the role of the data to solve business problems and develop organization professionally.
The student is able to analyse organization’s analytical maturity and can propose solutions to improve it.
The student can assess the tools and software needed in organization and is able to use Business Intelligence (BI) tools for reporting, data combining and data analyzing.
The student knows the terminology within the field and is able to participate in BI-related development projects as an expert in his/her business area.
Content
* Intelligent reporting and visualisation
* Data management and knowledge-based management
* Data sources, data combing and data transforming for modern problem solving
* The use of Business Intelligence Tool (Power BI or other related)
Prerequisites
Completed higher education degree (Bachelor level)
Teaching methods
Tuition in Finnish.
Location and time
Tuition in Finnish.
Learning materials and recommended literature
Tuition in Finnish.
Alternative completion methods of implementation
Tuition in Finnish.
Internship and working life connections
Tuition in Finnish.
Exam dates and retake possibilities
Tuition in Finnish.
International connections
Tuition in Finnish.
Student workload
Tuition in Finnish.
Content scheduling
Tuition in Finnish.
Further information for students
Tuition in Finnish.
Assessment methods and criteria
Tuition in Finnish.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.
Assessment criteria, good (3)
Good overall performance: can apply and articulate concepts and information well both verbally and in writing, certain areas of individual or team output require further attention; shows appropriate level of interest and motivation in individual and team activities. Good presentation delivery and analysis.
Assessment criteria, excellent (5)
Excellent performance in all elements of the course: shows interest and motivation in individual and team activities and assignments, fully applies and clearly articulates concepts and information both verbally and in writing. The student is able to support his/her argument with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.
Assessment criteria, approved/failed
ufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.