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 introductory track providing a solid starting point in data-oriented skills, with a special focus on applications to practical social problems.
Students enrolled in the Data Analysis certificate program will be able to use introductory 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 analysis.
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
Fall term
| COURSE | CREDITS | TYPE |
| Python Programming, Visualization and Data Analysis | 2 | Mandatory |
| Empirical Research Methods Workshop | 1 | Mandatory |
| Introduction to Computational Social Science | 2 | Mandatory-elective |
| Introduction to Machine Learning and Data Mining | 2 | Mandatory-elective |
Winter term
| COURSE | CREDITS | TYPE |
| Coding for Economists | 2 | Mandatory |
| Data and Network Visualization | 2 | Mandatory-elective |
| Agent Based Models | 2 | Mandatory-elective |
Spring term
| COURSE | CREDITS | TYPE |
| Ethics of Big Data | 2 | Mandatory-elective |
TOTAL CREDITS: 9 (3+2 mandatory; 2+2 Mandatory-elective)