Business Analytics (5 cr)

Evaluation scale

H-5

Implementation methods, demonstration and Work&Study

Depending on the implementation, learning takes place in contact lessons, independent studies, teamwork and online studies. The course includes the assessment of one’s own learning.

The course has a project work, which is centered around a business case to which several data analytics project management as well as descriptive and predictive data analytics methods are applied. The topic may represent a real case in a company, or it may be picked up from a set provided by the course organiser. In the case study, the student will learn both how to create value for business as well as how to apply business analytics methods. This casework is done in student teams.

In addition to the project work, the following learning methods are used: flipped classroom method, in-class and individual assignments, teamwork in contact lessons, and online lessons.

Recognition of prior learning (RPL)

If students have acquired the required competence in previous work tasks, recreational activities or on another course, they can show their competence via a demonstration. The demonstration must be agreed with the course teacher. More information and instructions for recognising and validating prior learning (RPL) are available at https://www.haaga-helia.fi/en/recognition-learning Look at "Instructions to students (master)"

Intro

Due to digitalisation, organizations possess more and more data. This data can be leveraged to provide valuable insights for businesses. Data analytics may be used in decision making, marketing, and product development – just to name some very common business cases. This course provides the student with the skill set required to manage business analytics projects and to carry out data analytics tasks in a business context.