Quantitative Research Methods (5 ECTS)

Objective

On completion of the course, the student knows how a company can use quantitative research in order to develop its operations, and is able to design and implement a quantitative research, interpret the research results, and evaluate the reliability of the research.

Content

This is a Moodle online course, supported by own videos, which students can complete relatively independently (and thus, can join with various professional backgrounds). The pedagogy is based on the flipped classroom method where all study materials and tasks are available in the learning environment. The teacher will be available online several times during the course for discussion and students’ questions.

• Quantitative research process
• Basic concepts of quantitative research
• Selecting samples
• Collecting data using questionnaires
• Preparation of the research data
• Data analysis: descriptive and inferential statistics
• Statistical testing

Assignments outline: students complete the course by solving problems; no exams. Moodle automatically evaluates the answers.

Location and time

The course is a non-stop online course. You can do it independently and at your own pace in Moodle learning environment. However, it's important to allocate sufficient time for independent study. For a 5-credit course, the estimated workload is 135 hours.

Course credits are recorded in the study register only 3.11. - 9.11.2025 and 19. - 25.1.2026.

To enhance learning, there is a virtual Q&A session once a month where the teacher is available. Any topic related to the course can be discussed there. Participation in virtual Q&A sessions is not compulsory.

Materials

Teacher materials in Moodle learning environment.

Teaching methods

Course level: For Master´s students only

Independent studying
Assignments
Exam in an electronic exam system.

Prerequisite for the course: Completed university degree.

Employer connections

N/A

Exam schedules

The exam can be taken at the end of October or the beginning of January, with exact dates to be announced later. Students can register for the exam once they achieve at least 50% of the maximum score on each set of assignments.

The student can take the exam a maximum of three times (the actual exam and two retakes).

International connections

N/A

Completion alternatives

N/A

Student workload

Total 135 hours which includes independent study, solving problems, taking the exam, and participating in voluntary Q&A sessions.

Content scheduling

The students progress in their own schedule.

Further information

You can register for the course between 5.5.2025 and 30.11.2025. The teacher confirms registrations made after 18.8.2025 once a week.

NOTE 1: If you do not begin studying in Moodle within two weeks of your enrollment being accepted, you will be removed from the course. Therefore, after 18.8.2025, enroll in the course only when you are ready to start studying.

NOTE 2: For the Master´s students only.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student 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)

The student 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)

The student demonstrates 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 their arguments with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.

Assessment criteria, approved/failed

The student 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 methods and criteria

The course consists of two parts: assignments to be completed in Moodle and an exam to be taken in the electronic exam system. Both parts are evaluated on a scale of 0-5, and both must receive a passing grade. The final course grade is calculated as a weighted average of the two parts, with the assignments accounting for 40% and the exam 60%
(course grade = 0.4 x assignment grade + 0.6 x exam grade).

The grades for both the exam and the assignments are determined based on the ratio of the total points received by the student to the maximum points available in each section. The lower limits for grades are as follows:

50 % of total points: 1
60 % of total points: 2
70 % of total points: 3
80 % of total points: 4
90 % of total points: 5

Qualifications

Completed higher education degree (Bachelor level)

Further information

The language of tuition is English.

Further information

The language of tuition is English.