Data Science and Machine Learning

Hellenic Open University

Overview

Data Science and Machine Learning at Hellenic Open University focuses on hands-on computational applications of these methods, utilizing data from all modern scientific fields (natural sciences, engineering, informatics, humanities and life sciences). 

Students will be hands-on practicing using programming tools and up-to-date computing tools. DAMA aims to combine knowledge of fundamental concepts and techniques with specific applications so that its graduates will be aptly skilled in today labor and market.

Upon successful completion of the program, graduates will have gained:

• An understanding of the basic principles and methods of Data Science and Machine Learning.
• An ability to use method to collect, manage and analyze large volumes of data (big data).
• An ability to analyze big data and use it for classification and prediction purposes.
• An ability to use machine learning methods and optimization algorithms for decision making.
• An ability to develop machine learning algorithms for specific applications in a variety of scientific fields.
• An ability to use advanced methods for presenting findings to ensure a most effective analysis and communication.
• An understanding of the social and ethical aspects of analyzing and presenting data, of privacy protection, of data management taking into account the regulatory framework governing such activities using computers, and of the protection of intellectual property.