Business Mathematics and Statistics (5 cr)

Objective

The student
• knows basic mathematical and statistical analysis methods of business and is able to apply financial mathematics to solving basic business problems based on working life
• knows the main calculation methods related to finance and investment decisions
• is familiar with the basic concepts of statistical analysis
• is able to select suitable statistical methods and use them in describing the pre-collected statistical data.

Content

• Applications of percentages
• Indices and time value of money
• Interest and compound interest calculations
• Annuities, loans and their comparisons
• Basic concepts of statistical analysis and statistical measurement
• Distributions and descriptive measures
• Basic use of a spreadsheet program’s financial functions and basic features of a statistical software

Location and time

The course is a continuous online course that students can complete independently and at their own pace in the Moodle learning environment. However, sufficient time must be allocated for independent study. For a 5-credit course, the estimated student workload is 135 hours.

Course credits are recorded in the study register four times a year, immediately after the exam period has ended.

To enhance learning, a virtual Q&A session is held every other week (except during holiday periods) where the teacher is available. Any topic related to the course can be discussed during these sessions. Participation in virtual Q&A sessions is not compulsory.

Materials

Teacher materials in Moodle learning environment.

Teaching methods

The course is designed to provide flexible, self-paced learning. Course materials and problems are available in the Moodle learning environment. Mathematics and statistics exams are taken using an electronic exam system.

There are no pre-knowledge requirements for the course.

Employer connections

N/A

Exam schedules

Course exams can be taken in the autumn at the end of August and November, and in the spring at the end of February and May. The exact dates of the exams will be announced later.

A student can take the exam for both section a maximum of three times: the actual exam and two retakes.

International connections

N/A

Completion alternatives

N/A

Student workload

A total of 135 hours is allocated for independent study, solving problems, taking exams, and participating in voluntary Q&A sessions.

Content scheduling

The students progress in their own schedule.

Further information

Students can enroll at any time during the year. Enrollments will be confirmed by the teacher once a week. Registrations will not be processed during holidays (summer holiday 14.6. - 10.8.2025; Christmas holiday 13.12.2025 - 4.1.2026; and winter holiday 13.2. - 22.2.2026).

Note: Only enroll for the course when you are ready to start it. If you do not begin studying in Moodle within two weeks of your enrollment being confirmed, you will be removed from the course. However, studying during holiday periods forms an exception. In that case, you must enroll for the course before the holiday begins, even if you do not plan to start studying immediately.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in leisure, learning and working life situations
• understands the importance of expertise in business and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in leisure, learning and working life situations
• is able to analyse expertise in business and their own development towards expertise.

Assessment criteria, approved/failed

The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Assessment methods and criteria

The maximum score for the course is 100 points. The mathematics section is worth 60 points, with at least 30 points required to pass. The statistics section is worth 40 points, with at least 20 points required to pass.

The completion of both sections consists of two parts: an exam in the electronic exam system and assignments in the Moodle learning environment. In mathematics, the maximum points are 35 for the exam and 25 for the assignments. In statistics, the maximum points are 25 for the exam and 15 for the assignments.

After a student has passed both sections, the points from mathematics and statistics are added together to determine the grade. The minimum points required for each grade are as follows:

1 - 50 points
2 - 60 points
3 - 70 points
4 - 80 points
5 - 90 points.

NOTE: If either the mathematics or the statistics score is below the acceptance limits, the student will receive a failing grade (0) regardless of the total points.

Qualifications

The course materials do not support Mac users. N.B. The spreadsheet program used in the course must be installed on the computer, the online version is not enough.

Further information

The course materials do not support Mac users. N.B. The spreadsheet program used in the course must be installed on the computer, the online version is not enough.

Further information

The course materials do not support Mac users. N.B. The spreadsheet program used in the course must be installed on the computer, the online version is not enough.