Data Science for Business: Theory and Practice

Master's programme(s):
Course code(s):

EBC13, -

Course type:

Compulsory, Compulsory


1, 1

Learning outcomes:

On completing the course, the student will be able to:

  • Understand the scope of data science and the role/function of data scientists.
  • Identify different types of data that are relevant in business environments.
  • Know which data science solutions can address specific types of business problems.
  • Contribute to the design of a data governance policy.
  • Understand challenges and opportunity in the data-driven businesses, economy and public policy.
General competences:
  • Search for, analysis and synthesis of data and information, with the use of the necessary technology
  • Decision Making
  • Teamwork
  • Production of free, creative, and inductive thinking

The course examines the impact of data science in modern private and public organisations and presents challenges, opportunities and trends in the field. You gain the necessary conceptual understanding of the uprising “data economy” with its underlying technological and business characteristics. Business cases are presented and discussed, while specific business problems are matched with new data technologies. Data/information management and interoperability topics are also presented and discussed.​

  • Intro to Data Science for Business​
  • Important types of Data and Interoperability​
  • Data Strategy, Governance and the Data Value Chain​
  • Data-driven Organisations and Data Economy​
  • Challenges​
  • Group assignments and presentations
Full course outline (PDF):