CEU DNDS offers a teaching scheme of data science-oriented quantitative methods courses to respond to the data science revolution. Specifically, this certificate is an advanced track teaching highly competitive and sophisticated skills in data science, with a special focus on applications to practical social problems.
Students enrolled in the Data Science certificate program will be able to use advanced empirical methods and theoretical approaches to address data-driven phenomena in the social and economic sciences. Either in an academic career or in a career in government or business, we see a definitive advantage for students with training in data science.
The main aims of this certificate program are:
- to provide students with cutting-edge knowledge and skills that are highly demanded in any field of the current job market; and
- to increase learning and teaching efficiency by clarifying the structure of prerequisites in data science-oriented methods courses.
Curriculum
Please note that it is possible that a course is offered in a different term in a given year than what is indicated in the tables below.
Course listing on the CEU Course Hub
Fall term
| COURSE | CREDITS | TYPE |
| Scientific Python | 2 | Mandatory |
| Machine Learning for Natural Language Processing | 2 | Mandatory-elective |
Winter term
| COURSE | CREDITS | TYPE |
| Data Mining and Big Data Analytics | 2 | Mandatory |
| Agent Based Models | 2 | Mandatory-elective |
| Digital Data Collection Methods* | 2 | Mandatory-elective |
TOTAL CREDITS: 8 (2+2 mandatory; 2+2 Mandatory-elective)
*Please note that DNDS6007 "Digital Data Collection Methods" and "Diving in the Digital Public Space: From individual (behavioral) digital traces to collective social and political dynamics" are the same course.