Master's Degree in Data Analytics and Business Intelligence

Academic year 2025-26

Please see the information in the new curriculum for this master's programme starting in the 2025-26 academic year.
If you started before the 2025-26 academic year, please see the corresponding version or the curriculum adaptation process.
See the pre-registration, admission and registration deadlines for the 2025-26 academic year for this master's programme.

In order to be awarded the Master's Degree in Data Analytics and Business Intelligence, students must pass 90 credits as follows:

  • 48 credits from mandatory subjects
  • 12 credits from elective subjects
  • 12 credits from External Academic Placements
  • 18 credits from the Master's Thesis.
Supplementary Training

In addition to the aforementioned 60 credits, students who do not fulfil the required entry profile must take one of the following supplementary training courses to be awarded the master's degree:

  • The Foundations of Finance and Business I (6 credits)
  • The Foundations of Finance and Business II (6 credits).

The academic committee shall set the number and type of supplementary training courses in line with candidates' entry profile.

First year
Name Type Credits Period
12173 - An Introduction to R and Python Mandatory 3,0 1st semester
12174 - Technologies for Data Analysis and Processing Mandatory 9,0 1st semester
12175 - Statistical Learning I Mandatory 6,0 1st semester
12176 - The Foundations of Econometrics Mandatory 6,0 1st semester
12178 - Data-driven Business Decisions Mandatory 6,0 1st semester
12177 - Data Analytics Applications in Business Management I Mandatory 6,0 2nd semester
12179 - Finance and Data Analytics I Mandatory 6,0 2nd semester
12180 - Data Visualisation Mandatory 3,0 2nd semester
12181 - Data Management and Storage Mandatory 3,0 2nd semester
12182 - Time Series Analysis I Elective 3,0 2nd semester
12183 - Time Series Analysis II Elective 3,0 2nd semester
12184 - Multi-variate Time Series and Panel Data Models Elective 3,0 2nd semester
12185 - Causal Interference Elective 3,0 2nd semester
12186 - Cloud Computing Elective 3,0 2nd semester
12187 - Text Mining Elective 3,0 2nd semester
12188 - Quantitative Techniques for Decision-making Elective 3,0 2nd semester
12189 - Statistical Learning II Elective 3,0 2nd semester
12190 - Finance and Data Analysis II Elective 3,0 2nd semester
12191 - Data Analytics Applications in Business II Elective 3,0 2nd semester
12192 - Applications for Social Media Elective 3,0 2nd semester
12193 - An Introduction to Applied Bayesian Modelling Elective 3,0 2nd semester
12195 - Finance and Business Fundamentals I Supplementary Training 6,0 1st semester
12196 - Finance and Business Fundamentals II Supplementary Training 6,0 1st semester
Second year
Name Type Credits Period
11661 - Master's Thesis Master's Thesis 18,0 1st semester
12194 - External Academic Placements External Academic Placements 12,0 1st semester