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1 |
Adequate knowledge of mathematics in the field of Information Systems, and the ability to apply theoretical and practical knowledge to solve complex data science problems. |
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2 |
Ability to conduct scientific research, and to deeply analyze and interpret the resulting data and information. |
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3 |
Competence in designing and conducting analytical, modeling, and experimental research, along with the ability to analyze and interpret complex information systems. |
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4 |
A strong theoretical and practical foundation in the core areas of computing, including computer science, software engineering, network technologies, and database management. |
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5 |
Ability to identify, formulate, and solve Information Systems and Technologies problems using requisite programming skills. |
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6 |
Ability to function effectively and assume leadership in multidisciplinary teams, develop solution strategies for complex problems, take responsibility, and contribute to teamwork. |
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7 |
Ability to develop innovative ideas and methods, and to introduce novel approaches to vulnerability detection and defense processes in the field of information systems. |
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8 |
Competence in identifying, accessing, and evaluating required data and information, as well as in data management and analytics. |
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9 |
Ability to follow current developments in Information Systems and Technologies, and an awareness of the need for lifelong learning to quickly adapt to new technologies. |
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10 |
Ability to communicate effectively, convey the results of professional work, and present technical and complex topics in a clear and understandable manner. |
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11 |
Awareness of the social and environmental impacts of Information Systems applications, and the ability to adapt and develop solutions accordingly. |
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12 |
Understanding of professional, ethical, societal, and scientific responsibilities in Information Systems and Technologies; acts in accordance with ethical principles and prioritizes public benefit. |