FDS1 – Foundations of Data Science 1
Foundations of Data Science 1 is a block taught series of advanced lectures in Applied Mathematics, Statistics and Machine Learning delivered by a variety of leading academics across the University of Limerick, Maynooth University and the University College Dublin, and guest speakers who are thought-leaders in the field of data science.
FDS2 – Foundations of Data Science 2
Foundations of Data Science 2 is the second in a block taught series of advanced lectures in Applied Mathematics, Statistics and Machine Learning delivered by a variety of leading academics across the University of Limerick, Maynooth University and the University College Dublin, and guest speakers who are thought-leaders in the field of data science.
Research Impact – Bridging the gap between Rigour and Relevance
This module aims to prepare students to design their own research impact pathway and engage in ‘impact by design’ through stakeholder analysis. Students will gain a deeper understanding of how research has the potential to have significant real impacts (beyond academia) on industry, the economy, and society which is imperative for reasons of advocacy, accountability, analysis, and allocation.
Entrepreneurial, Creative & Innovative Thinking for Researchers
This module aims to develop the student’s entrepreneurial, innovation and creative skills enabling them to realise the commercial and societal impact of their research. Students will gain an understanding of how to critically evaluate key concepts, frameworks and best practices for validating the commercial, user and societal impact and value of research beyond the lab and into a company and industrial market contexts
Winter Symposium
The Winter Symposium is an annual event that will be designed and delivered by the students. The event will highlight the research and horizontal and vertical theme interests of the student body in a group presentation style event.
Maths Knowledge Exchange
This highly-participative short course covers the essentials of good mathematics knowledge exchange. It focusses on developing skills relevant to the whole process of using mathematics to solve real-world problems, including: problem formulation; active listening; effective communication; and expectation management. It will also cover how to present results and conclusions to a non-specialist audience in a clear and persuasive way.
European Study Groups with Industry (ESGI)
ESGI is as intense week-long problem-solving workshop where leading local and international academics gather to brainstorm problems that are proposed by industry, with the ultimate aim of presenting solutions to the industry by the end of the week.
Masterclass Series
CRT students have access to a wide range of world-class academic leaders in the data science field. Our masterclasses are one-day advanced training sessions delivered by top-class academics in our international collaborator group.
Networking with industry
The programme fosters an environment of collabortation with our Enterprise Alliance partners from day one. Our Enterprise Alliance members train alongside our students, participating in lectures and masterclasses. Throughout the 4 years PhD students will interact with our Enterprise Alliance partners through formal and informal networking sessions to find potential synergies and project partnerships.