Data Science Institute (DSI) / Insight (Structured PhD)—full-time & part-time
Data Science is concerned with the development of scalable methods for the curation and analysis of large data sets, in order to derive insights and actionable knowledge from these for predictive analytics and other aspects of decision support. Methods in Data Science typically build on best practices in machine learning and statistics with applications in the analysis of structured data as well as of semi-structured and unstructured data, including numerical, textual and image data. Data sources can be in Internet of Things and other sensor data streams, social media, large text collections such as reporting, image collections, video material, etc. In addition to machine learning and statistics, scientific methods specific to each data type will originate from areas including Natural Language Processing, image processing, stream reasoning, etc.
Some subjects in this course are:-
- Data science
- Linked Data
- Semantic Web
- Internet of Things (IOT)
- Natural Language Processing (NLP)
- Information mining
- Knowledge discovery
- Reasoning and querying
- Machine learning
- Blockchain
- Social software
- Big data
- Bioinformatics
- Knowledge management
- Graph mining
- Knowledge graphs
- Smart enterprise
- Ontologies
- Ontology engineering
