Business Mathematics and Statistics (5 cr)
Code: C-10065-LC00FX82-3001
General information
- Enrollment
-
02.05.2025 - 31.03.2026
Registration for the implementation has begun.
- Timing
-
02.05.2025 - 30.04.2026
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Blended learning
- Institution
- Metropolia University of Applied Sciences, Leiritie 1
- Teaching languages
- English
- Seats
- 0 - 200
- Course
- C-10065-LC00FX82
Evaluation scale
0-5
Content scheduling
The students progress in their own schedule.
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.
Pedagogic approaches and sustainable development
N/A
Completion alternatives
Alternative method of completion: Exams 100 points (Mathematics exam 60 points and Statistics exam 40 points). Note: Both exams must be passed. A minimum of 50% of the maximum score is required to pass each exam (mathematics 30 points and statistics 20 points).
Student workload
A total of 135 hours is allocated for independent study, solving problems, taking exams, and participating in voluntary Q&A sessions.
Evaluation 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.