Applied Data Science for Business and Social Innovation
International students
International students
About the course
Course content
Students become familiar with and apply the methods and algorithms that data analysts work with within data science as an interdisciplinary field. This includes collecting and exploring data through data management and data analysis, visualizing and identifying patterns in data, as well as reporting results in an engaging way. The focus of application lies in data‑driven development opportunities in business systems and social innovations based on the global goals for sustainable development. The aim is to search for new approaches and solutions to social needs or societal challenges.
The course includes the following components:
- The data mining process
- Exploratory data analysis and data visualization of openly available data
- Introduction to social innovation and the global goals for sustainable development
- Opportunities and challenges of data analysis for data‑driven business development and social innovation
- Basic concepts and orientation in digital methods and their applications using various tools
- Programming with or without code (graphical programming) of different models for decision‑making, prediction, or categorization
- Reporting results with the help of storytelling
Entry requirements and selection
Entry requirements
- English 6
- A total of 30 credits in one of the main subject areas: Information Science, Informatics, Computer Science, or Computer Engineering, of which at least 7.5 credits must be in programming
The student is expected to have knowledge of database systems
Selection
100% University credits completed
Course literature
Current literature list is available in the syllabus for the course
Course evaluation
Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).
