This is a contact implementation. Sessions at Porvoo Campus every Tue and Thu.
Chaffey, Dave & Ellis-Chadwick, Fiona, 2022. Digital Marketing 8th Edition.
Available as e-book in Haaga-Helia library.
Driscoll Miller, J, Lim, J. & Meerman Scott, D. 2020. Data-First Marketing : How to Compete and Win in the Age of Analytics. John Wiley & Sons, Incorporated.
Available as e-book in Haaga-Helia library.
Haimowitz, I.J., Verhoef, P.C., Kooge, E., Walk, N. & Wiering, N. 2022. Data analytics for business : lessons for sales, marketing, and strategy. Routledge. Second edition.
Järvinen, J. & Karjaluoto, H. (2015). The use of web analytics for digital marketing performance measurement. Industrial Marketing Management, Vol. 50, pp. 117-127.
Material and assignments from and for real case organizations. Visiting lecturers from companies.
Porvoo Campus
No exam, only assignments.
English
All material, examples and assignments are created for international students and from a global perspective.
23.10.2023 - 15.12.2023
Aiming for grades 1-2 (individual work) - Review of the material and related multiple-choice review (max. 50 points, to be taken at the end of the course) - Self-reflection exercise (max. 10 points, to be completed at the end of the course) Aiming for grades 3-5 (to be done individually and in groups) Individual work: - Review of online material and related multiple-choice review (max. 50 points, to be completed at the end of the course) - Self-reflection exercise (max 10 points, to be completed at the end of the course) Group work: - Designing a data-driven digital campaign (max 20 points) - Data-driven marketing analysis of a case study (max. 20 points)
12.06.2023 - 20.10.2023
For everybody (if only individual, grades 1-2)
Multiple-choice review, open 27.11-10.12.
Reflection on own learning (and peer feedback), DL 12.12.
Group assignments (grades 3-5)
Team agreement, DL 27.10.
Digital marketing campaign, DL 28.11.
Case-organization interview, DL 8.12.
Work & Study or RPL
If you feel that you have already attained the competence level required for this course, such as through previous work experience, you can get the credits through Recognition of Prior Learning (RPL). For more information on either Work & Study or RPL, contact the responsible teacher.
Maria Vickholm
15 - 50
Grading scale
85 - 100 points = 5
71 - 84 points = 4
61 - 70 points = 3
51 - 60 points = 2
40 - 50 points = 1
DIGIBBA Digital Business Innovations
0.00 cr
0.00 cr
H-5