Module 13 - Games Industry and Data Analytics (1 cr)
Code: AV00EL11-3010
General information
Timing
01.01.2025 - 31.12.2025
Number of ECTS credits allocated
1 op
Virtual portion
1 op
Mode of delivery
Distance learning
Unit
Open UAS and Continuing education
Campus
Ecampus
Teaching languages
- English
Degree programmes
- Open University of Applied Sciences
Teacher in charge
Suvi Pylvänen
Objective
Learning outcomes:
The module will improve your general knowledge about video games industry and data analytics in a simple way. You can study this module by using a smart phone. Learn about video games industry and games business. Learn about terminology used in video games industry and data analytics.
Content
The Video Games Industry has grown since 90s to an industry worth more than 150 billion $ (2019). It is bigger industry than movies, films and music altogether. As learned from Module 11, 12 and 13, it is thanks to lot of innovations in the industry as well excellent, creative people developing great games along the history of approx. 50 years.
This module is about games industry and data analytics. It is very seldom that any university degree in games teaches the business side of the industry. Most often courses are about technology and arts. We try to give you an easy introduction about the terminology used in the games industry and also introduce you to a number important game analytics topics (data science) that you should know before deciding what type of games you want to develop. At first you probably want to like to develop games you like personally, but when it comes to a successful game you need to know the facts about the games industry and where is the best potential, and still like the game genre you work with.
This Module is the last ‘easy’ module we publish. As always it is important that you get to know at least the basics of games industry even you would prefer games programming or games arts. You will self-study this document I prepared for you and then answer to 30 quiz questions to show your learnings about the different aspects the games business and data analytics.
Evaluation scale
Approved/Failed