Data Science Institute - DSI / Insight - Structured

Entry requirements

PhD candidates must have a good honours degree (typically First Class Honours or 2:1) in a relevant area. Interested candidates should begin by contacting a member of DSI research and academic staff whose research interests are most closely aligned to their own research interests.



Masters candidates must hold at least a 2nd Class Honours Primary Degree in a related subject area or hold a Primary Degree in a related area without honours (which is acceptable to College) and have practical experience in the subject area over a period of not less than three years.



We expect:



A strong background in computer science



Research interests in Data Science, Natural Language Processing, Information Management, Systems Development, Logic, Ontology Languages, Semantic Web, Semantics in Business Information Systems, Linked Data,

Machine Learning, IOT, sensors, stream reasoning.



The willingness to combine formal scientific work with application-oriented research in projects funded by the European Commission, national agencies or by industry.

Application dates

Applications are made online via the University of Galway Postgraduate Applications System.

Duration

Structured PhD (Data Science), full-time & part-time

Masters in Applied Science MAppSc (Data Science), full-time and part-time

Masters in Engineering Science MEngSc (Data Science), full-time and part-time



Duration:

4 years (full-time structured PhD), 2 years (full-time Masters)

6 years (part-time structured PhD), 3 years (part-time Masters)

Research

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.

More details
  • Qualification letters

    PhD MAppSc MEngSc

  • Qualifications

    Degree - Doctoral (Level 10 NFQ),Degree - Masters (Level 9 NFQ)

  • Attendance type

    Daytime,Full time,Part time

  • Apply to

    Course provider