Digital Research Methods and Big Data Analytics (BDS200)
Digitalization in service businesses has reached new heights as the advancement of new technologies has helped the business world to build instantaneous B2B and B2C relations, and to tackle ever more tasks that are complex. Online environments like, e.g., social media platforms, specialized forums, carefully crafted interactive webpages, generate large volumes of qualitative and quantitative data - Big Data (BD) - that offer a readily available resource for exploring diverse aspects of business operations on a large scale. Thus, this course gives a comprehensive introduction to subjects revolving around the digital research methods and Big Data analytics.
Course description for study year 2024-2025
Course code
BDS200
Version
1
Credits (ECTS)
10
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English, Norwegian
Content
Learning outcome
By the end of the course, the participants will gain the following knowledge, skills and general competencies:
Knowledge
The candidates have knowledge about:
- the subject’s history, philosophical underpinnings, social science research traditions, and their place in a datadriven business world.
- terminology, fundamental theories, tools and instruments, as well as methodological approaches that are associated with digital research methods.
- recognize selected strategies for analyzing large volumes of qualitative and quantitative data (Big Data).
- ethical modern-day considerations and pitfalls associated with the application of Big Data in the business context.
Skills
The candidates will be able:
- to apply acquired knowledge to design digital research projects, and further analyze and interpret acquired information, and report the findings coming from conducted digital research investigations.
- to find, evaluate and refer to available and rapidly developing information base associated with digital research methods and Big Data analytics.
- to use selected machine learning analytical approaches to transform large quantities of data into information that can aid in optimizing one’s business models and decision-making processes.
General competences
The candidates will be able:
- to identify and formulate research problems that can be addressed through the implementation of digital research methods.
- to plan and carry out diverse digital work tasks and projects that extend over time, that are executed alone and/or as a part of a group, and which are in line with existing ethical requirements and guidelines.
- to exchange views and experiences with professionals on the application of digital research methods and Big Data topics, and through this contribute to the development of good practice.
- to contribute to creative thinking and innovative processes in business context that are anchored in digital research methods and Big Data analytics.
Required prerequisite knowledge
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Home exam | 1/1 | 7 Days | Letter grades |
The final exam takes the form of a home-exam that lasts for seven consecutive days (grading scale: A - F).