Course Summary
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.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
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 Details
Applications are made online via the University of Galway Postgraduate Applications System.
Fees
Fees: EU 5,750 p.a. (5,890 including levy) 2024/25
Fees: Non EU 15,000 p.a. (15,140 including levy) 2024/25
Extra Information
EU Part time: Year 1 4,250 p.a. (4,390 including levy) 2024/25
All students, irrespective of funding, must pay the student levy of 140.
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
Duration
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)