Description
The Bachelor’s Degree in Statistics is offered by the Athens University of Economics and Business through the Department of Statistics and provides comprehensive education in Statistics, Probability Theory and modern quantitative methods for data analysis. The study program covers fundamental and advanced areas of Statistics, such as statistical modelling, data analysis, computational statistics, sampling, time series, actuarial statistics and applied probability. Graduates acquire a strong theoretical background and the ability to apply statistical methods to real-world problems in economics, business, science and technology.
Relation to Employment
Graduates of the Department can pursue careers in companies, banks, insurance companies, research centers, public organizations and institutions requiring specialized knowledge in statistical analysis and data processing. Their expertise enables them to work in modern fields such as data analysis, business decision-making and quantitative research.
Access Requirements / Progression Opportunities
Admission to the program requires a Secondary School Leaving Certificate (High School Diploma) and successful participation in national-level examinations or qualifying entrance examinations.
Knowledge
Graduates acquire in-depth knowledge of the fundamental principles of Statistics and Probability, as well as the mathematical and computational tools required for data analysis. They understand data collection, processing, modelling and interpretation through the use of modern statistical methods. They also gain knowledge in applied areas such as econometrics, financial statistics, biostatistics and data science.
Skills
Graduates develop skills in data collection, analysis and interpretation, as well as in applying appropriate statistical techniques to solve complex problems. They are able to use mathematical and computational tools, evaluate analytical results and present well-supported conclusions. They also acquire skills in applying modern data analysis methods and quantitative modelling techniques.
Competences
Graduates acquire the ability to apply statistical methods to real-world problems and support decision-making through data analysis. They can adapt their knowledge to different scientific and professional environments and utilize new technologies and methods. They also develop the ability for continuous learning and professional development in a rapidly evolving field.