Entry requirements

120 credits within the field of science and technology.

Learning outcomes

After a successfully completed course the student should be able to:

• compile and analyse complex customer and market data, such as "Big Data", using databases and computer-based tools,
• model and simulate innovation processes as well as analyse and evaluate market data as input to product development operations,
• account for and apply methods and techniques that can be used to study and analyse user situations.

Content

Cross-disciplinary analysis models and analysis tools for the analysis of very large databases, where data is characterized by high variations in data quality, data types and data sources as well as timeframes. Innovation adoption models and technology adoption forecasts, strategic business planning and product portfolio and product line planning.

Instruction

Lectures, laboratory exercises, seminars and project work in group.

Assessment

Written and oral presentation of project group work as well as active participation in seminars, laboratory exercises (2 credits). Writen exam (3 credits).