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MSc in Business Administration and Data Science

Data Man­age­ment and Visu­al­iz­a­tion

About the course

Subjects
IT

Course content

The course provides knowledge of various concepts, techniques and methods related to data management, dashboarding and visualizations. Topics covered are:

 

  • Databases and SQL
  • Data Management: Extract, Transform, Load (ETL). Developing workflows for handling and tranforming data
  • Effective visualization of data
  • Creating and evaluating dashboards

 

The course provides the students with practical hands-on experience on data management, ETL and dashboarding. Although the lectures exercises will use specific tools and programs, students are allowed to use also other tools in the course project.

 

After completing the course, the students will be able to handle real-word big/business datasets and develop dashboards providing actionable insights to managers.

See course description in course catalogue

What you will learn

After completing the course, the students will be able to

  • Characterize the phenomena of visual analytics with application of fundamental concepts, techniques and methods.
  • Exhibit basic knowledge of data types, data structures and interaction with a relational database management system
  • Analyze and apply visual analytics techniques for big/business data sets in organizational contexts
  • Understand the linkages between business intelligence and visual analytics and the potential benefits for organizations
  • Apply analytical skills for implementation of business data processing using Business Intelligence and Reporting tools
  • Exhibit basic knowledge of securing or masking sensitive data while employing applying visual analytics
  • Exhibit deeper knowledge and understanding of the topics as part of the project and the report should reflect on critical awareness of the methodological choices with written skills to accepted academic standards

Course prerequisites

While it is not mandatory, students are recommended to brush up some basic data handling & analytical skills like using joins, unions, summarizing data, etc.

Facts

Level
Master
Type
Mandatory course
ECTS
7.5
Code
CD­SCO2303U
Teaching periods
Autumn – semester
Academic year
2024/2025
Status
Available places
Teaching language
English
Teaching Format
On campus
Exams
  • Written assignment and oral exam on campus
    Group exam, winter
Assessment type
  • 7 point grading scale