UC1BAN10 Business Analytics
UC1BAN10 Business Analytics
- Course description
- NQF LevelBachelor's degree (Level 6 1. Cycle)
- Area of StudyComputing
- Program of StudyDigital Assurance and Security Management
- ECTS10
- CampusOnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
- Course LeaderProf. Reinhardt Botha
Language of Instruction and assessment: English
May be offered on Campus and Online.
May be offered as a separate course.
Included in the following bachelor's degrees:
- Digital Assurance and Security Management
This course aims to apply data in illustrating key decision-making concepts across primary business disciplines. Students gain knowledge of functions such as linear, quadratic, exponential, and logarithmic, as well as basic statistical functions. Additionally, they acquire practical skills in utilizing spreadsheets for break-even analysis, depreciation, optimization, and financial calculations, including simple and compound interest, present/future value, annuities, and amortization.
The student has knowledge of
| K1 | linear, quadratic, exponential and logarithmic functions. |
|---|---|
| K2 | basic statistical functions. |
The student gain skills in
| S1 | use a spreadsheet to do break even analysis, depreciation, marginal profit/revenue/cost, and optimization. |
|---|---|
| S2 | perform entry-level financial calculations: simple/compound interest, present/future value, annuities and amortization. |
| S3 | draw and interpret business-related charts and graphs. |
The student can demonstrate
| G1 | the use of office productivity software. |
|---|---|
| G2 | present arguments based on data analyses. |
| G3 | communicate concepts and techniques to analyse data. |
- Introduction to Data and Business Analytics
- Analytical Calculation
- Descriptive Statistics
- Teaching will be based on a hybrid-flexible approach. Instructor-led face-to-face learning is combined with online learning in a flexible course structure that gives students the option of attending sessions in the classroom, participating online, or doing both.
- All activities require active student participation in their own learning.
- Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
- Students will be taught using a mixture of guidance, self-study, and lecture material. Topics will be introduced in a series of weekly lectures. The guidance sessions will be directed practical exercises and reading in which students can explore topics with support from a teacher. This material will also require students to self-manage their time to ensure tasks are completed and the theory is fully understood. This will allow the students to fully engage with lectures and with their peers.
- Learning resources are available in the LMS and include, but is not limited to:
- literature and online reading material (essential and recommended)
- streams, recordings and other digital resources, where applicable
- video conferencing and communication platforms, if applicable
- tools, software and libraries, where applicable
- Students must have access to an internet connection, and suitable hardware.
- Accessing live streams and virtual laboratories requires a minimum broadband connection of 2Mbps (4Mbps recommended).
- Students working on their own laptop/computer are required to acquire appropriate communications software, e.g., webcam, microphone, headphones.
The reading list for this course and any additional electronic resources will be provided in the LMS.
| Activity | Duration |
|---|---|
Teacher-led activity | 33 |
Teacher-supported work | 48 |
Self-study | 169 |
This course has two (2) exams contributing towards the overall and final grade of the course.
The exams must be assessed as passed to receive the final Course Grade.
| Form of assessment | Grading scale | Grouping | Duration of assessment |
|---|---|---|---|
Portfolio of Work | A-F | ||
Online Exam | A-F |