Digital Science in UBD offers two (2) graduate programmes
Master of Digital Science by research at SDS (School of Digital Science) are programmes that foster research in Digital Science and related disciplines. Master by Research in Digital Science includes the elaboration of short projects in a broad range of pure and applied research topics. The research projects must be original, incorporate modern techniques and methods, and contribute to the advancements of the fields of Digital Science. Candidates will work under the guidance and supervision of experienced academia specializing in Digital Science. Supervisors will provide mentorship, support, and expertise to ensure the successful execution of research projects.
The ultimate goal of the Master by Research in Digital Science program is to contribute to the advancement of the Digital Science field. Through their research endeavors, students are expected to generate new knowledge, insights, and solutions that have real-world applications and implications.
The program is designed primarily for appropriately qualified individuals interested in acquiring advanced knowledge and research skills in the domain of digital science with a focus on any topic of local, regional, or global relevance.
Master of Digital Science (MDSC) by Research Major Areas
- Master of Digital Science (Artificial Intelligence) by research
- Master of Digital Science (Computer Science) by research
- Master of Digital Science (Cybersecurity & Forensic) by research
- Master of Digital Science (Data Science) by research
- Master of Digital Science (Robotics) by research
Aims and Scope
The MSc Programme in Digital Science aims to make scientists with high level specialised training, in order to cover the increased needs of Industry in related aspects. Also, students wishing to continue their studies at a PhD level, will be able to prepare for the conduction of a PhD research on relevant topics. Also, students wishing to continue their studies at a PhD level will be able to prepare for the conduction of PhD research on relevant topics. The scope of the Programme is to provide students the necessary specific scientific information, as well as to train them to develop their skills and analytical capabilities.
Students conduct an approved research project, with the supervision of one or more staff members. Upon completion of their research, they submit a Thesis, which normally does not exceed 60,000 words.
August and January
Duration of Programme
Full-Time: Min 12 months, Max 24 months
Part-Time: Min 24 months, Max 48 months
Period of Candidature:
Full-Time: 12 – 24 months
Part-Time: 24-48 months
- Assessment includes examination of the thesis by internal and external examiners. As stipulated in the relevant UBD regulations the examiners may subject a candidate to an oral examination or any other test they think necessary to assess the acceptability of the thesis. Periodic assessment of the progress of the candidate is carried out as stipulated in the relevant UBD regulations.
Research interests in digital science include but not limited to the following areas:
- Intelligent Healthcare Systems
- Wireless Sensor Integration and Fusion
- Motion Capture ad Reconstruction
- Brain Machine Interface
- Virtual Interfacing Technologies
- Intelligent eLearning and web-based applications
- Biologically-inspired Robotics: Swarm robotics, Collective Decision Making, Animal vs. Animal
- Human-Robot Interaction: Human Safety in Human-Robot Cooperation, Human-Robot Swarm Interaction
- Large-Scale Autonomous Systems: Modeling and Control of Dynamical Systems including Manipulators, Mobile Robots, Underwater and Aerial Robots
- Modern Artificial Intelligence: Modular Robotics, Reconfigurable Building Blocks, Modular Sensor Networks, Tangible Games
- Problem Based Learning: ICT-based PBL and Multicultural PBL
- Cryptography and computer security
- Open source implementations
- Graphics and visualisation
- Database design and implementation
- Server security
- High performance computing
- Mobile programming
- Data mining: Cluster analysis, fuzzy clustering, biomedical or clinical informatics, applying heuristics
- Artificial intelligence, machine learning, deep learning
- Personal robots
- Ambient intelligence
You may find potential supervisors in the Staff section.
Scholarships are available for highly qualified candidates. Please refer to UBD Scholarship page for more information.
For more information, please contact the Programme Leader at email@example.com.