Duration
3 Years
Language
English
Schedule
Full-time
Tuition
€3,000
Degree Overview
The three-year BSc degree in Computer Science and Artificial Intelligence is
designed to offer a solid foundation on computer science and AI, encompassing
machine learning and generative AI through a blend of rigorous theoretical concepts
and practical experience. This comprehensive programme integrates artificial
intelligence with software systems design, software development, information security
and data science, equipping students with the necessary skills to emerge as proficient
IT professionals capable of addressing real- world challenges. By combining emerging
technologies with hands-on projects, graduates are equipped to develop innovative AI
solutions while understanding the ethical and societal impact of artificial intelligence.
Degree Courses
The bachelor’s programme requires 180 ECTS Credits, spans 36 months, and is
divided into six semesters. It includes the following modules:
- Discrete Mathematics
- Fundamentals of Probability and Statistics
- Computer Networks
- Computer Architecture
- Digital Transformation and Business Innovation
- Information Security
- Fundamentals of Programming
- Software Engineering Principles
- Software Development
- Technology and Innovation Management
- Introduction to Python Programming
- Cybersecurity
- Database Management
- Fundamentals of Data Science
- Quantitative Business Methods
- Artificial Intelligence
- Cloud Computing
- Mobile Applications Design and Development
- Operating Systems
- Artificial Intelligence Applications
- Machine Learning Fundamentals
- Neural Networks
- Big Data
- Business Analytics
- Online Business and Innovation
- Deep Learning
- The Ethics of AI
- Bachelor Thesis
Who Can Apply?
This bachelor's programme is designed for individuals seeking to build a career in
Artificial Intelligence, Computer Science, Software Development, Data Science, and
related technology fields.
Learning Experience
The programme is delivered entirely online through a flexible Virtual Learning
Environment (VLE), allowing students to balance their studies with personal and
professional commitments. Learning combines interactive online lectures, practical
programming exercises, project-based activities, case studies, and collaborative
discussions. Students develop hands-on experience with industry-standard
programming languages, cloud platforms, data analysis tools, and artificial intelligence
technologies while receiving continuous academic guidance throughout the programme.
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