The School of Computer Science and Statistics was established in 2005 with the amalgamation of the former Departments of Computer Science and of Statistics - a merger motivated by the potential synergy between the research expertise of the two Departments and, in particular, the realization that research strength in statistical learning techniques and in modelling uncertainty would assist in underpinning developments in a number of key areas of computer science such as machine learning, computer vision, bioinformatics, ubiquitous and autonomic computing, and telecommunications.

The School is an innovative and energetic centre for research and is actively engaged in technology spin-outs and licensing of its leading edge technologies.

The School comprise five academic disciplines that together reflect both the breath of its expertise and the focus of its research activity.

	Undertakes "systems research" at the hardware/software interface and has a particular research focus on telecommunications and networked computer systems.
	Studies the impact of Information and Communication Technology on society and business with a particular focus on the impact of technology on learning.
	Has a research focus is on computational issues related to perception, cognition, decision and interaction by, and between, systems and their human users.
	Has significant strength in programming language and software technologies and the formal foundations that underlie them.
	Provides the School's research strength in statistical learning techniques and in modelling uncertainty.

Keywords:

Computer Science; Statistics; Trinity College; Dublin University; Courses; Innovation; Research; Funding; Cloud computing, smart cities, system architectures, programming models, mobility models, and context-aware services with a particular focus on their application to intelligent transportation systems supporting everyday life activities, traffic management