Πτυχίο σε AI and Data Analytics - Alte University

• Use programming languages, data analysis tools, and AI frameworks to design, develop, and evaluate intelligent systems and data-driven solutions.
• Process complex datasets to identify meaningful patterns and support decision-making processes.
• Identify and solve real-world problems using computational, algorithmic, and data-driven approaches in interdisciplinary contexts.
• Communicate technical concepts effectively, both orally and in writing, and collaborate in diverse teams to manage and implement AI or data analytics projects.
• Demonstrate ethical and socially responsible behavior in data processing, AI system development, and technology use in various social contexts.
• Engage in independent learning and continuous professional development by keeping up with evolving technologies and best practices in artificial intelligence and data analytics.
• Show independence and accountability in both individual and team-based activities through effective time and resource management.

• Foundation Block (30 ECTS): Digital literacy, STEM fundamentals, and academic writing.
• Core and Professional Orientation Block (120 ECTS): Core courses in mathematics, programming, databases, computer networks, and computer systems.
• Specialization Track (90 ECTS): Advanced studies in either Artificial Intelligence or Data Analytics.

Graduates of the program will be able to develop their professional careers in the following areas:

• Data Analyst / Data Scientist
• Machine Learning Engineer
• Artificial Intelligence Specialist / Research Assistant
• Business Analyst
• Computer Vision or NLP Developer
• Data Engineer / Cloud Data Specialist
• AI Product Manager