Department of Data Science and Technology
From data to intelligent decisions
- 11
- faculty members
- 7
- Programs
- 342
- journal papers
- 30
- books
As digital technologies spread and the volume of generated data grows, data has become one of the most valuable assets of organisations, industries and governments. Extracting knowledge from data, making intelligent decisions, forecasting trends and optimising processes are now decisive factors in scientific, economic and industrial success.
The Department of Data Science and Technology educates specialists, develops technical know-how and conducts applied research in data and artificial intelligence. Its interdisciplinary approach connects computer science, statistics, mathematics, engineering, cognitive science and information technology.
Graduates apply data-driven technologies to complex problems in industry, health, energy, agriculture, transport, finance, security and smart governance.
Areas of activity
- 01Big-data analytics and data engineering
- 02Machine learning and deep learning
- 03Artificial intelligence and data mining
- 04Computer vision
- 05Natural language and speech processing
- 06Network science and complex networks
- 07Cloud computing and predictive analytics
- 08Business intelligence, data security and governance
Programs
- Biomedical Engineering – Medical InformaticsMSc
- IT Engineering – Network Science and TechnologyMSc
- IT Engineering – Electronic CommerceMSc
- IT Engineering – Digital TransformationMSc
- Computational LinguisticsMSc
- Computer Science – Decision and Knowledge SciencesMSc
- Information Technology EngineeringPhD
Department faculty
11 members
Department laboratories
- 01
Information Theory and Coding Laboratory
Information theory, channel coding and ML for communications
- 02
Complex Networks Analysis Laboratory
Network science, information diffusion and network-based fraud detection
- 03
Information Mining and Cognition Laboratory
Mining and summarising massive networked data with machine learning
- 04
Computer and Information Networks Laboratory (COIN)
Network science, big data and IoT
- 05
Data and Signal Processing Laboratory
Speech, natural language processing and biometrics
- 06
Data Mining Laboratory
Financial-market prediction and recommender systems