Business analytics for innovation driven decision making (5 cr)
Code: C-10126-YL00CV04-3002
General information
- Enrollment
- 20.11.2024 - 03.01.2025
- Registration for the implementation has ended.
- Timing
- 03.03.2025 - 25.05.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Blended learning
- Institution
- LAB University of Applied Sciences, Verkkokampus
- Teaching languages
- English
- Seats
- 0 - 15
- Course
- C-10126-YL00CV04
Evaluation scale
1-5
Content scheduling
The course content will cover: • Principles, benefits, and practical applications of knowledge management and business intelligence • Exploration of open innovation and its integration with business analytics • In-depth look at business analytics, including data warehousing and analysis processes. • Scenario thinking and its application in conjunction with knowledge management.
Objective
The student is able - to gain an in-depth understanding of financial management, budgeting and investments. - to consider and evaluate macro economical situations and their impact. - to apply scenario thinking / identify possibilities of alternative futures / for pre-active / proactive business development, decision making and resilience. - to identify new possibilities for profitability and disruptive business models.
Location and time
The course is segmented into main building blocks: • Course Moodle opens 15.3.2025 • Knowledge management process - 11.03.2025 (online session) • Open Innovation - 01.04.2025 (online session) • Business analytics - 23.04.2025 (online session) • Scenario thinking - On-demand content (available in early May 2025) Attendance at the live online sessions is required, while the on-demand content can be accessed by students at their convenience.
Materials
Course materials will be provided through Moodle, where students can also find a list of recommended readings tailored to each section of the course content.
Teaching methods
The course is delivered entirely online, consisting of scheduled online sessions complemented by on-demand content in Moodle. Teaching methods include lectures, individual and group assignments that focus on the application of business analytics in innovative decision-making processes.
Employer connections
Real-life case studies and analytics scenarios will be incorporated into the course, providing insights into the application of business analytics in various industries.
Pedagogic approaches and sustainable development
The learning environment consists of: • Online sessions via Zoom/Teams. • Moodle for on-demand content, assignments and online forums for group discussions.
Completion alternatives
There are no alternative completion methods available for this course.
Student workload
The extent of the course is 5 ECTS, indicating a total workload of approximately 133 hours. This workload is divided across individual study, group work, and participation in online sessions.
Evaluation methods and criteria
Individual learning assignments. Group learning assignments. Participation and activeness during the online lectures,
Qualifications
It is recommended that the student has a previous university degree. A foundational knowledge of business principles is beneficial.