Integrated Master/Professional degree

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

  • Years5 Years
  • ECTS credits300

Main content

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:


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


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

Informatikk åpner en ny verden

Joakim Birkelund
Data Science, integrated masters five years

More information

About the programme

Study code in NUCAS

See full study plan