Big Data - Data Science, Analytics and Technologies
Duration: 2 years
Credits: 120 ETCS
Language of instruction: English
Target group: graduates of an undergraduate program in
Computer Science, Mathematics - Informatics, Mathematics, Applied Mathematics, Management Information Technology, Economics
Computers and Information Technology
other majors in the exact and engineering sciences
Purpose: to train data mining specialists with the knowledge to build robust and efficient statistical data analysis models, skills in the design, implementation and use of algorithms for automatic extraction of models from data and skills in the use of technologies specific to processing large volumes of data and implementing scalable applications.
What is studied?
Big Data Technologies, Data Warehouses, Cloud Computing
Data Mining, Machine Learning, Data Analysis and Programming in R
Probabilistic Models for Data Science, Predictive Models and Analytics, Optimization, Biostatistics
Text Mining, Computer Vision, Metaheuristic Algorithms
Career Opportunities:
(Big) Data Scientist
(Big) Data Analyst
(Big) Data Engineer