Recommended prerequisite for participation in the module

It is a mandatory prerequisite that every other module at the programme is passed prior to participating in the master’s thesis.

The Study Board can grant exemption if there are unusual circumstances, and the Study Board simultaneously assesses that the student has the academic prerequisites to be able to start the master’s thesis.

Content, progress and pedagogy of the module

In the master’s thesis, students will work on identifying, examining, analysing and reflecting on theoretical and practical problems that are closely related to business data science.The student has the option to do this by collaborating with a company or organisation, or as a desk-top research project.

During this module, the student will be assigned a supervisor and create a written project that illustrates critical and reflexive competencies related to problem-solving and developing arguments on a Master of Science academic level.

Learning objectives

Knowledge

The objective is that the student after the module possesses the necessary knowledge on:

• how to conduct and lead a project from idea to completion.
• central problems as they are identified within the business and data science academic community.
• the role of empirical and theoretical context in formulating, exploring and analysing problems related to business and data science.

Skills

The objective is that the student after the module possesses the necessary skills in:

• structuring overall project design, how to identify work packages, sequencing and how to plan the sequence.
• developing a research design to examine a relevant problem within business and data science and reflect on how the choice of research methods influences the analysis and results.
• proposing possible solutions to a central problem (theoretical, practical or both) within business and data science on the basis of scientific analyses.

Competences

The objective is that the student after the module possesses the necessary competences in:

• designing and completing research projects, where relevant business and data science -related problems are explored and the knowledge generated is used to qualify and contextualize the suggested solutions independently and in teams.
• developing and discussing a scientific argument in writing and orally using theoretical and practical evidence directed towards various target groups.
• applying relevant theories to analyse a relevant problem within business and data science and use this knowledge to argue for selected solutions on the basis of scientific argumentation.

Type of instruction

For information see § 17.

Exam

Exams

Name of exam	Master´s Thesis
Type of exam	Master's thesis/final project Oral exam based on a project Group examination with max. 3 students. The student may also choose to write the project alone.
ECTS	30
Assessment	7-point grading scale
Type of grading	External examination
Criteria of assessment	The criteria of assessment are stated in the Examination Policies and Procedures