Informatics: Data Science, Integrated Master's, 5 years

What you Learn

Required Learning Outcomes

On completion of the programme the candidate should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The candidate

• is familiar with the whole data science pipeline including preprocessing, data management analysis, learning, visualization, reporting, and operationalization
• understands the data-generation process
• have theoretical understanding of potential and limitations of data science methods
• have solid knowledge on mathematics and statistics
• have in-depth knowledge in one specific subfield of data science or application area of data science

Skills

The candidate

• can design and manage data science projects
• is able to choose appropriate tools and apply them in real-life scenarios
• can interpret the results of data science pipelines
• is able to implement complex computer programs

General competence

The candidate

• Is able to work independently and in groups with advanced issues within the field of data science.
• Critical and analytical view for own and others work
• Able to extend own knowledge themselves
• Be able to assess ethical aspects of the work
• Can write reports and give oral presentations, following good scientific practice