Part-time Study Program
The part‑time study program lasts 5 semesters. Each semester consists of 13 full weeks and corresponds to a workload of 15 ECTS credits for the first four semesters and 30 ECTS credits for the fifth semester, allocated to the taught courses and the Master’s thesis.
In the first four semesters, the student is required to attend 2 offered courses, each worth 7.5 ECTS credits. In the fifth semester, the student is required to complete a Master’s thesis (30 ECTS) or to attend and be examined in two (2) courses instead of the thesis, each worth 15 ECTS credits.
The courses include the preparation of assignments, which constitute a significant part of the students’ evaluation. Assessment is carried out in accordance with the regulations of the Master’s Program and the relevant decisions of the Coordinating Committee, and results from a weighted combination of the written examination grade and performance on the assignments.
1st Semester
2 modules
2×7.5=15 ECTS
Data Management
DS01 | ECTS: 7.5
Computational and Statistical Methods for Data Analytics
DS03 | ECTS: 7.5
2nd Semester
2 modules
2×7.5=15 ECTS
Data Engineering Principles
DS05 | ECTS: 7.5
Data Management under Uncertain Conditions
DS08 | ECTS: 7.5
3rd Semester
2 modules
2×7.5=15 ECTS
Knowledge Discovery from WWW Data
DS02 | ECTS: 7.5
Data Analysis Software Engineering
DS04 | ECTS: 7.5
4th Semester
2 modules
2×7.5=15 ECTS
Web and Social Networks Analysis
DS06 | ECTS: 7.5
Data Visualization
DS07 | ECTS: 7.5
5th Semester: 2 modules (2×15=30 ECTS) or MSc Thesis (30 ECTS)
Hybrid Machine Leanring for Big Data
DS09 | ECTS: 15
Predictive Analytics Methods for Supply Chains
DS10 | ECTS: 15
or

Postgraduate Thesis
DS11 | ECTS: 30









