The objective of this programme is to educate doctoral students of Microdata Analysis so that they attain broad general knowledge and attractive specialist competence in the fields of Business Intelligence, Analytics, and Data Science that meet market and academic demands.
Students in this programme have diverse backgrounds – for example, business, computer/information science, engineering, and applied mathematics/statistics. The programme forms part of the research profile Complex Systems – Microdata Analysis.
The primary supervisors guide the student towards the successful completion of the programme, which concludes with a thesis publicly reviewed at the thesis defence. Each student is assigned a primary supervisor, who establishes the supervisory team. This team holds complementary competencies so as to optimise the student's research support throughout the programme.
Primary supervisors in the programme are:
How To Apply
We look for prospective students who want to develop as researchers in an interdisciplinary environment. You should have skills in data management and analysis with the objective of creating business value. To be eligible, you must hold at least a one-year master degree in the field. Additional prerequisites are listed in the general programme curriculum.
You can apply in two ways. In the spring semester, several students are recruited for the annual autumn intake. These positions are advertised on the Dalarna University website.
Positions with strong links to in-house research projects or research projects proposed by prospective students remain open for application throughout the year. Candidates are advised to follow the programme's ResearchGate-log for updates, or to contact the Director of Studies.
How is the programme structured?
In essence, it is the student supported by the supervisory team who defines the plan, the aim of which is graduation as researcher. However, a general curriculum frames the plan and at the start of the programme, the student and the supervisory team develop an individual study plan that serves both to define the student's research activities and to monitor student progress.