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 is running.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Institution: LAB University of Applied Sciences, Verkkokampus

Teaching languages: English

Seats: 0 - 15

Course: C-10126-YL00CV04

No reservations found for realization C-10126-YL00CV04-3002!

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.

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.

International connections

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.