Official course description:
Full info last published 15/11-21

Data-Driven Design & Development

Course info
ECTS points:
Course code:
Participants max:
Offered to guest students:
Offered to exchange students:
Offered as a single subject:
Price (single subject):
10625 DKK
MSc. Master
MSc in Games
Course manager
Associate Professor
PhD student
Teaching Assistant
Teaching Assistant (TA)
Teaching Assistant
Teaching Assistant (TA)
Course semester
Forår 2022
31 January 2022
31 August 2022
Exam type
ekstern censur
Grade Scale
Exam Language

In this course, students learn how to work in data-driven design and development processes and what changes data analysis brings to the design and maintenance of games.


Data analysis has become one of the driving forces of game design and development. This course teaches data analysis methods, and how they affect design and development. Students learn how user data is gathered, and how data analysis can be used in order to support the design and development of games and other interactive systems. They also learn how to develop, use, and analyse different game industry related metrics (e.g. customer metrics, community metrics, performance metrics, gameplay metrics) and how to use those to balance and optimise different aspects of games, informing the design process.

Formal prerequisites
The students need to have attended a introduction to programming course.
Intended learning outcomes

After the course, the student should be able to:

  • Describe the impact of data analysis on game design, production, and marketing.
  • Identify the stages of game design, production, and marketing in which analytics support decision making.
  • Classify the key performance indicators relevant in each of the design, production and post production stages.
  • Relate qualitative properties of the game experience with quantitative measures.
  • Outline and apply relevant statistical measures for testing and evaluation
  • Design tests and experiments, and evaluate their results in relation to the expected player experience.
  • Construct effective visualisations from collected metrics that can inform game design, production, and marketing.
  • Describe the challenges connected to the collection and analysis of large amount of in-game data.
Learning activities

Students are responsible for attending weekly lectures, participating in the group activities and engaging with the teaching staff for supervision and feedback.

Mandatory activities
There will be no mandatory activity during the course. The students will be provided with weekly workshop and they will work on a project throughout the course. A report on the project will be handed in at the end of the course as exam project. Alongside the oral examination, the report will contribute to the final grade.

The student will receive the grade NA (not approved) at the ordinary exam, if the mandatory activities are not approved and the student will use an exam attempt.

Course literature
Game Analytics -  Maximizing the Value of Player Data

Magy Seif El-Nasr, Anders Drachen, Alessandro Canossa

Game Research Methods

Petri Lankoski, Staffan Björk

Student Activity Budget
Estimated distribution of learning activities for the typical student
  • Preparation for lectures and exercises: 26%
  • Lectures: 13%
  • Exercises: 7%
  • Assignments: 7%
  • Project work, supervision included: 22%
  • Exam with preparation: 25%
Ordinary exam
Exam type:
D: Submission of written work with following oral, External (7-point scale)
Exam variation:
D2G: Submission for groups with following oral exam supplemented by the submission. Shared responsibility for the report.
Exam submisson description:
The students will have to work on a group project and will have to submit a written report. The project will be based on the course content and will require the students to evaluate a number of game design problems by collecting and analyzing user data. Students present their group project as a group (5 minutes per member) and then have 15 minutes for questions and evaluation.
Group submission:
  • Group size 2-3.
Exam duration per student for the oral exam:
20 minutes
Group exam form:
Group exam : Joint student presentation followed by a group dialogue. All the students are present in the examination room throughout the examination.

Time and date
Ordinary Exam - submission Mon, 16 May 2022, 08:00 - 14:00
Ordinary Exam Tue, 7 Jun 2022, 09:00 - 21:00
Ordinary Exam Wed, 8 Jun 2022, 09:00 - 21:00
Ordinary Exam Thu, 9 Jun 2022, 09:00 - 21:00
Ordinary Exam Fri, 10 Jun 2022, 09:00 - 21:00
Reexam - submission Wed, 27 Jul 2022, 08:00 - 14:00
Reexam Mon, 15 Aug 2022, 09:00 - 21:00