Courses

Specializations

Upon student request, a specialization may also be indicated in the diploma transcripts. To be able to do so, the student should pass the four upper foundation courses of the specialization:

Systems and Application Development

Data Science and AI

Technology Management

Semester 1 30 ECTS

Compulsory Courses

Εffective Academic Writing

Discrete Mathematics

Introduction to the Greek Language

Introduction to Computing

Semester 2 30 ECTS

Compulsory Courses

Platform Technologies

Analyzing Race Class Gender

Introduction to OO programming

Greek History and Arts

Semester 3 30 ECTS

Compulsory Courses

Οperating Systems

Τechnical Writing

Introduction to Web Programming

Semester 4 30 ECTS

Compulsory Courses

Intro to Economics

Data Comm and Networks

Advanced Programming

Database Systems

Semester 5 30 ECTS

Compulsory Courses

Web and Mobile Systems Development

Human Computer Interaction

Elective Courses

Choose 2 out of 4 courses

Data Scalability and Analytics

Introduction to Artificial Intelligence

Information Systems

Semester 6 30 ECTS

Compulsory Courses

Systems Analysis & Design

Information Security & Policy

Elective Courses

Choose 2 out of 4 courses

Software Engineering

Mobile Networks and IoT

Advanced Computing Models: Virtualization Cloud & Mobile Computing

Applied Machine Learning

Semester 7 30 ECTS

Compulsory Courses

Project Management in IT/IS

Business Continuity Planning and Disaster Recovery

Elective Courses

Choose 2 out of 4 courses

Knowledge Management

Technology Assessment

Advance Programming Frameworks and APIs

System Paradigms

Semester 8 30 ECTS

Compulsory Courses

Social, Professional & Ethical Issues in Computing

Elective Courses

Choose 2 courses or the Internship

Spatial Data Technologies

Technology innovation and entrepreneurship

Sustainability, Computing and Green Economy

Communication for Success: Advanced Level