The MSc in Advances in Computer Science & Information Systems provides advanced specialization in Information Technology, Artificial Intelligence, Cloud Computing, Data Science, and Information Systems Management.
The programme prepares graduates for careers in research, software development, digital transformation, data analysis, cloud infrastructures, and intelligent systems.
Students may choose among three specialized academic directions tailored to different professional and research interests.
| Category | Details |
|---|---|
| Study Modes | Full-Time & Part-Time |
| Full-Time Duration | 2 Academic Semesters + Summer Thesis |
| Part-Time Duration | Minimum 4 Semesters |
| Maximum Duration | 4 Semesters (Full-Time) / 8 Semesters (Part-Time) |
| Total Credits | 75 ECTS |
| Programme Structure | 10 Courses + Master’s Thesis |
| Teaching Language | English |
| Direction | Focus Areas |
|---|---|
| Data Science & Artificial Intelligence | Machine learning, deep learning, NLP, computer vision, big data management, AI applications |
| Cloud & Edge Computing | Cloud infrastructures, edge computing, IoT systems, cybersecurity, next-generation networks |
| Information Systems Administration & Digital Transformation | Digital transformation, business information systems, project management, organisational innovation |
Students complete ten taught courses corresponding to 60 ECTS credits and a Master’s thesis corresponding to 15 ECTS credits. The curriculum combines compulsory and elective modules according to the selected specialization direction.
| Structure |
|---|
| Taught Courses – 60 ECTS |
| Master’s Thesis – 15 ECTS |
| Specialization-Based Curriculum |
| Program Type |
|---|
| Compulsory + Elective Modules |
| Research Oriented Learning |
| Industry Aligned Curriculum |
Core courses build strong foundations in machine learning, data science, cloud computing, cybersecurity, and business systems.
| Core Courses |
|---|
| Machine Learning |
| Deep Learning |
| Big Data Management |
| Graphs and Network Analysis |
| Data Mining & Recommender Systems |
| Statistics and Data Visualization |
| Cloud Infrastructures |
| Cloud Platforms |
| Cloud Native Applications |
| Core Courses |
|---|
| Cybersecurity |
| Information Systems Management |
| Strategic Business Administration |
| Supply Chain Management |
| Digital Transformation & Innovation Technologies |
Students may choose electives according to their academic interests in AI, cloud systems, business, and digital technologies.
| Elective Courses |
|---|
| Natural Language Processing & Information Retrieval |
| Computer Vision |
| Applications of Data Science & Artificial Intelligence |
| Knowledge Representation & Reasoning |
| IoT Technologies & Applications |
| Cloud Systems Design |
| Project Management |
| Digital Marketing |
| Elective Courses |
|---|
| Business Process Management |
| Innovation & Entrepreneurship |
| Full Stack Programming on the World Wide Web |
| Technology Economics & Investment Valuation |
The Master’s thesis is mandatory and corresponds to 15 ECTS credits.
Students conduct independent research related to their chosen specialization and present their work at the completion of the programme.
• Students may request suspension of studies for up to two consecutive semesters
• Extensions may be granted for serious reasons without additional tuition fees
Failure to complete studies within the maximum duration may result in programme dismissal
