In this module students will gain knowledge of how predictive modelling and other data science techniques can be used within organisations or to develop new businesses. This includes identifying challenges when developing data-driven projects – resources, human resources (staffing), collaboration, innovation and innovation capabilities etc. Throughout the module students will explore how data-driven elements integrate with other parts of the organisation or ecosystem as well as the role of leadership of data-driven projects which requires understanding of technical and non-technical elements.
Students will work with a case (existing organisation or new business idea) and develop a business plan or project proposal covering major stages (PoC, MVP, Pilot etc.)
Based on the content above, the students will under supervision write an empirical project with an opportunity to apply a set of data science methods – a combination of techniques covered in previous courses as well as other relevant analytical approaches – to a well defined business problem. This can be in collaboration with an external organization.
After completion of the module, students are able to define an appropriate problem formulation within business data science, identify a sophisticated data collection and analysis strategy, carry out the analysis and present their results using state-of-the-art data science approaches, as well as critically self-evaluate their findings. They can select the most suitable among the wide range of methods presented in the previous modules and autonomously apply it to the specific problem under study.
The objective is that the student after the module possesses the necessary knowledge on:
The objective is that the student after the module possesses the necessary skills in:
The objective is that the student after the module possesses the necessary competences in:
For information see § 17.
|Name of exam
|Data-Driven Business Modelling and Strategy
|Type of exam
Oral exam based on a projectGroup examination with max. 4 students. The student may also choose to write the project alone.
|7-point grading scale
|Type of grading
|Criteria of assessment
|The criteria of assessment are stated in the Examination Policies and Procedures
|Data-drevet forretningsmodellering og strategi
|Language of instruction
|Location of the lecture
|Responsible for the module
|Study Board of Economics and Business Administration
|Aalborg University Business School
|Faculty of Social Sciences and Humanities