Applied Mathematics

Learn to quantitatively tackle practical problems by formulating and analysing appropriate mathematical models.

Statistics

Learn how to collect, analyse, model and make inference from complex data.

Machine Learning

Learn to develop algorithms that encode computational statistical models that rely on inference rather than instruction to perform tasks.

Industry and Enterprise

Additional Enterprise Alliance Members

The CRT has a small number of places still available on its EA. EA members benefit by regular interactions with the sizeable cohort of future data-scientist leaders. EA members host student places, offering unique opportunities to develop collaborative PhD projects that are aligned with the needs of EA partners. Each EA member has the possibility (subject to admissions criteria) of placing a staff member into the PhD programme. Staff of EA members beyond those on the programme can attend specialist technical training master classes with the doctoral student body. Interested parties should contact one of the Programme Leaders for further information on participating in this exciting programme.

CRT Construction

The Centre's design was informed by extensive engagement with indigenous and multinational industry and enterprise in Ireland throughout 2018 and 2019. The programme's structure reflects that feedback and advice, with each student experiencing an embedded period of training in industry or enterprise, and obtaining critical transversal skills that is not normally part of a technical PhD programme in Ireland, but that were identified as essential abilities of valuable employees.

Enterprise Alliance

In collaboration with ICT Skillnet Ireland, the CRT's Enterprise Alliance is a grouping of up to 30 entities from a broad range of sectors that are require employees with in-depth training in fundamental data-science skills, complemented by practical experience in applying algorithms to real-world, incomplete, and noisy data. The EA model provides a cohesiveness of engagement with enterprise that is rarely seen in PhD training and will ensure that the centre delivers what is needed for Irish data-driven industry and enterprise.

Programme Leaders

James Gleeson

Professor
James Gleeson

University of Limerick

Claire Gormley

Associate Professor Claire Gormley

University College Dublin

Ken Duffy

Professor
Ken Duffy

Maynooth University

Norma Bargary

Dr Norma Bargary

University of Limerick

Nial Friel

Professor Nial Friel

University College Dublin

Caroline Brophy

Dr Caroline Brophy

Maynooth University

Supervisors

This new programme for 2019 sees over 80 subject-expert supervisors from three research led universities drawn from the core horizontal themes of Applied Mathematics, Statistics, and Machine Learning, as well application domains including Artificial Intelligence, Data Analytics, Health and Wellbeing, Networks, Privacy and Security, Robotics, Science Education, and Smart Manufacturing.

Students will be enrolled in the Ph.D. programme of one of UL, UCD or MU with a nominal supervisory team. Within the first year, a pairing will be made with suitable research supervisor(s) for the remainder of the doctoral training experience. Regular meetings across the whole group, with active involvement from industry and enterprise partners, will ensure a significant cohort effect.

Updates

Enterprise Alliance

July 26, 2019.
A small number of places are still available on the CRT's EA. Interested parties should contact one of the Programme Leaders for further information on participating in this exciting programme.

2020 Applications

October 2, 2019.
Applications for the September 2020 intake will open in mid-January 2020. An announcement of the process will be made on the website closer to that date.

University of Limerick University College Dublin Maynooth University

Science Foundation Ireland Skillnet Ireland