Quantitative Research (5 ECTS)
Code: LC00EH11-3008
General information
- Enrollment
-
05.05.2025 - 10.08.2025
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
-
25.08.2025 - 12.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- Metropolia Business School
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 20 - 35
- Degree programmes
- Degree Programme in European Business Administration
- Teachers
- ICT Liiketalous ope
- Teacher in charge
- Suvi Moll
- Groups
-
LXA24_AHalf of LXA24 cohorts present, GROUP A
-
LXA24_BHalf of LXA24 cohorts present, GROUP B
- Course
- LC00EH11
Implementation has 15 reservations. Total duration of reservations is 45 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Wed 27.08.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 03.09.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 10.09.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 17.09.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 24.09.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 01.10.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 08.10.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 22.10.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 29.10.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 05.11.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 12.11.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 19.11.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 26.11.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 03.12.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
|
Wed 10.12.2025 time 11:00 - 14:00 (3 h 0 min) |
Quantitative Research LC00EH11-3008 |
MMB331
IT-Tila, CAD
|
Objective
On completion of the course, the student will:
- Know how companies use quantitative analysis and research in order to develop their operations.
- Be able to design and implement surveys, and analyze raw data
-Can assess the reliability and validity of the quantitative research
-Be proficient in using SPSS and Excel to analyze raw data and present them in an illustrative form
- Have an understanding how data analytics is used to solve business problems and in decision making.
Content
- Financial Mathematics in Excel
- Quantitative research process and implementation
- Questionnaire design and data collection
- Data Analysis, descriptive and inferential statistics in SPSS and Excel
- Interpretation and statistical reasoning
- Statistical testing
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Qualifications
Business Mathematics and Statistics