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Master in Artificial Intelligence Online (MSc, 18 Months, English)
Program Overview
Artificial Intelligence
MSc
Master of Science
Artificial Intelligence (AI) systems and applications are designed to solve complex real-world challenges across many industries. Among the most sought-after IT professionals, AI specialists will find a wealth of exciting career opportunities in the most innovative companies across the globe.
Program Summary
- Languages: English
- Duration: 18 months
- Mode of Study: Online
- ECTS: 90
Program Description
The MSc in Artificial Intelligence at EUC aims to train and educate skilled leaders in the field and to address the emerging needs of the market. With an in-depth study of AI theory and practice, students are equipped with technical skills and an understanding of machine learning, big data analytics, AI in gaming and robotics, natural language processing, and deep learning. Students undertake research with the Department’s laboratories and research centers and are equipped for employment in a range of industries or for doctoral studies in the field.
Career Opportunities
Our graduates work in:
- IT Companies
- Gaming and Robotics Industry
- Telecommunications
- Insurance, Banks, and other Financial Institutions
- Medical and Life Science Institutions
- Research and Consultancy
Program Structure
| 1 | Degree Requirements | ECTS |
| 2 | Core courses | 32 |
| 3 | Elective Courses | 28 |
| 4 | Master Thesis | 30 |
| 5 | Total Requirements | 90 |
Core Courses
| 1 | Core courses | 32 ECTS | |
| 2 | Code | Course Title | ECTS |
| 3 | AI600 | Foundations of Artificial Intelligence | 8 |
| 4 | AI605 | Introduction to Machine Learning | 8 |
| 5 | AI610 | Knowledge Representation, Reasoning and the Semantic Web | 8 |
| 6 | AI615 | Big Data Analytics | 8 |
Elective Courses
| 1 | Elective Courses | 28 ECTS | |
| 2 | Students select four of the following courses: | ||
| 3 | Code | Course Title | ECTS |
| 4 | AI620 | Advanced Topics in Machine Learning | 7 |
| 5 | AI625 | Artificial Neural Networks and Deep Learning | 7 |
| 6 | AI630 | Advanced Topics in Knowledge Representation and Reasoning | 7 |
| 7 | AI635 | Multi-Agent Systems and Game Theory | 7 |
| 8 | AI640 | AI in Video Games | 7 |
| 9 | AI645 | Robotics and Perception | 7 |
| 10 | AI650 | Natural Language Processing | 7 |
| 11 | AI655 | Philosophy and Ethics of AI | 7 |
| 12 | N/A | One (1) Elective Course from a relevant distance learning M.Sc. program of the School of Sciences as this will be approved by the Program Coordinator. |
Master Thesis
| 1 | Master Thesis | 30 ECTS | |
| 2 | Code | Course Title | ECTS |
| 3 | AI695 | Master Thesis | 30 |
