Advanced Data Science (5cr)
Code: TO00CD64-3003
General information
- Enrollment
- 18.05.2026 - 24.05.2026
- Registration for introductions has not started yet.
- Timing
- 01.08.2026 - 31.12.2026
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual proportion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- 10 Liiketalous-, tietojenkäsittely- ja palvelualat
- Campus
- Laurea Virtual Campus
- Teaching languages
- English
- Seats
- 20 - 45
- Degree programmes
- Complementary competence, bachelor's studies in English (CCN2), Information and Communication Technologies (ICT)
- Teachers
- Mitha Jose
- Terhi Kärpänen
- Teacher in charge
- Matti Oosi
- Groups
-
TON226SYTäydentävä osaaminen (amk-tutkinto), S26, Tietojenkäsittely ja tietoliikenne (ICT)
-
CCN226SYComplementary competence (bachelor’s studies in English), S26, Information and Communication Technologies (ICT)
- Study unit
- TO00CD64
Qualifications
To participate in the study unit, you must have completed the study unit Data-driven IT or have equivalent knowledge.
Learning outcomes
The student is able to
- utilise the fundamental concepts and principles of AI, machine learning and data science tools
- utilise technology to effectively visualise data, create interactive dashboards and communicate insights to stakeholders
- develop skills in programming for data analysis, manipulation, visualisation and implementation of machine learning models
- apply advanced AI and machine learning techniques and methodologies to analyse complex data sets and develop predictive models
Evaluation scale
H-5