Data Analytics (5 cr)

Code: RDI2HM102-3033

Basic information of implementation

Timing
12.01.2026 - 15.05.2026
The implementation has not yet started.
ECTS Credits
5 cr
Campus
Pasila Campus
Teaching languages
English
Seats
31 - 60
Degree programmes
ATBUM Degree Programme in Aviation and Tourism Business
LEBUM Degree Programme in Leading Business Transformation
BUTEM Degree Programme in Business Technologies
HOSBUM Degree Programme in Tourism and Hospitality Business
BUTUM Degree Programme in Business Technologies and Management
Teachers
Juha Nurmonen
Groups
MAICTE
Information Services and Systems, Masters, Pasila
MALEAE
Leadership and Human Resource Management, Masters, Pasila
MASALE
Leading Sales and Customer Experience, Masters, Pasila
EVENING
Evening implementation
MAEXPE
Experience Economy and Designing Services, Masters, Pasila
MADIGE
Digital Business Opportunities, Masters, Pasila
MASTRE
Strategic Thinking and Leadership, Masters, Pasila
EXCH
EXCH Exchange students
ONLINE
Online implementation
MACOME
Communication and Marketing Management, master, Pasila
MAAVBUM
Sustainable Aviation Business, Masters, Pasila
MASTROME
Strategising in Organisations, Masters, Pasila
Course
RDI2HM102

Evaluation scale

H-5

Implementation methods, demonstration and Work&Study

Depending on the implementation, learning takes place in contact lessons, as independent studies, teamwork and online-studies. Implementations can include literature, assignments, R&D co-operation and company projects. The course includes the assessment of one’s own learning.

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

In modern organizations, information is a crucial tool for management. Data analytics is a means of refining information for business needs. The objective of this course is to understand the process and methods of data analytics and to be able to apply them through practical examples. This course does not require prior programming skills.

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