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Study plan
Study Plan
1st year - Fall Semester
| Course Units | Type | Duration | ECTS |
|---|---|---|---|
| Big Data and Cloud Computing | Elective | Quarterly | 3,5 |
| Big Data Modelling and Management | Elective | Quarterly | 3,5 |
| Data Mining | Elective | Semester | 7,5 |
| Data Stream Mining | Elective | Semester | 7,5 |
| Digital Transformation Digital Transformation | Elective | Quarterly | 3,5 |
| Ethics in Data Science | Elective | Semester | 7,5 |
| Exploratory Topics in Artificial Intelligence | Elective | Semester | 7,5 |
| Machine Learning | Elective | Semester | 7,5 |
| Programming for Data Science | Elective | Quarterly | 4 |
| Programming Methods | Elective | Quarterly | 4 |
| Statistical Modelling | Elective | Semester | 7,5 |
| Statistics for Data Science | Elective | Semester | 7,5 |
1st year - Spring Semester
| Course Units | Type | Duration | ECTS |
|---|---|---|---|
| Big Data Analytics | Elective | Quarterly | 3,5 |
| Blockchain Development | Elective | Quarterly | 3,5 |
| Business Cases with Data Science | Elective | Semester | 7,5 |
| Business Intelligence | Elective | Semester | 7,5 |
| Business Process Analytics | Elective | Quarterly | 3,5 |
| Computational Intelligence for Optimization | Elective | Semester | 7,5 |
| Deep Learning | Elective | Semester | 7,5 |
| Explainable Artificial Intelligence | Elective | Quarterly | 4 |
| Machine Learning Operations | Elective | Quarterly | 4 |
| Natural Language Processing | Elective | Quarterly | 4 |
| Network Analysis | Elective | Quarterly | 4 |
| Neural and Evolutionary Learning | Elective | Quarterly | 4 |
| Parallel Computing | Elective | Quarterly | 4 |
| Reinforcement Learning | Elective | Quarterly | 4 |
| Storing and Retrieving Data | Elective | Quarterly | 4 |
2nd year - Fall Semester
| Course Units | Type | Duration | ECTS |
|---|---|---|---|
| Dissertation/ Work Project | Mandatory | Annual | 54 |
| Research Methodologies | Mandatory | Annual | 6 |